From d939857966673e7837915e7f96ee5b61ac78e88c Mon Sep 17 00:00:00 2001 From: Zoschke Date: Fri, 25 Nov 2022 13:44:25 +0100 Subject: [PATCH 01/35] add minimal example of first time series function including pass function --- .../pipeflow_internals/mass_flow_pump.csv | 11 ++ .../test_pandapipes_circular_flow.py | 118 ++++++++++++++++++ 2 files changed, 129 insertions(+) create mode 100644 pandapipes/test/pipeflow_internals/mass_flow_pump.csv create mode 100644 pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py diff --git a/pandapipes/test/pipeflow_internals/mass_flow_pump.csv b/pandapipes/test/pipeflow_internals/mass_flow_pump.csv new file mode 100644 index 00000000..ec20cfa3 --- /dev/null +++ b/pandapipes/test/pipeflow_internals/mass_flow_pump.csv @@ -0,0 +1,11 @@ +,0 +0,20 +1,20 +2,20 +3,50 +4,50 +5,50 +6,60 +7,20 +8,20 +9,20 \ No newline at end of file diff --git a/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py b/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py new file mode 100644 index 00000000..a77a561b --- /dev/null +++ b/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py @@ -0,0 +1,118 @@ +# -*- coding: utf-8 -*- +""" +Created on Thu Feb 17 09:59:19 2022 + +@author: tzoschke +""" + +import pandapipes as pp +from pandapipes.component_models import Pipe +import os +import pandas as pd +import pandapower.control as control +from pandapower.timeseries import DFData +from pandapower.timeseries import OutputWriter +from pandapipes.timeseries import run_timeseries +from pandapipes import networks +import numpy as np + +# create empty net +net = pp.create_empty_network(fluid ="water") + +# create fluid +#pandapipes.create_fluid_from_lib(net, "water", overwrite=True) + + +j0 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 0") +j1 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 1") +j2 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 2") +j3 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 3") + + +#Pump +#this is a component, which consists of an external grid, connected to the junction specified via the from_junction-parameter and a sink, connected to the junction specified via the to_junction-parameter +pp.create_circ_pump_const_mass_flow(net, from_junction=j0, to_junction=j3, p_bar=5, mdot_kg_per_s=20, t_k=273.15+35) + +#Heat exchanger +#Positiv heat value means that heat is withdrawn from the network and supplied to a consumer +pp.create_heat_exchanger(net, from_junction=j1, to_junction=j2, diameter_m=200e-3, qext_w = 100000) + +Pipe1 = pp.create_pipe_from_parameters(net, from_junction=j0, to_junction=j1, length_km=1, diameter_m=200e-3, k_mm=.1, alpha_w_per_m2k=10, sections = 5, text_k=283) +Pipe2 = pp.create_pipe_from_parameters(net, from_junction=j2, to_junction=j3, length_km=1, diameter_m=200e-3, k_mm=.1, alpha_w_per_m2k=10, sections = 5, text_k=283) + + + +pp.pipeflow(net, mode='all') + +net.res_junction #results are written to res_junction within toolbox.py +print(net.res_junction) +net.res_pipe +print(net.res_pipe) +print(net.res_pipe.t_from_k) +print(net.res_pipe.t_to_k) +#print(Pipe1.get_internal_results(net, [0])) + + +pipe_results = Pipe.get_internal_results(net, [0]) +print("Temperature at different sections for Pipe 1:") +print(pipe_results["TINIT"]) +pipe_results = Pipe.get_internal_results(net, [1]) +print("Temperature at different sections for Pipe 2:") +print(pipe_results["TINIT"]) +#Pipe.plot_pipe(net, 0, pipe_results) + +#Start time series simulation +#_____________________________________________________________________ + +#Load profile for mass flow +profiles_mass_flow = pd.read_csv('mass_flow_pump.csv',index_col=0) +print(profiles_mass_flow) +#digital_df = pd.DataFrame({'0': [20,20,20,50,50,50,60,20,20,20]}) +#print(digital_df) +#Prepare as data source for controller +ds_massflow = DFData(profiles_mass_flow) +print(type(ds_massflow)) +#ds_massflow = DFData(digital_df) + +#profiles_temperatures = pd.DataFrame({'0': [308,307,306,305,304,303,302,301,300,299]}) +#ds_temperature = DFData(profiles_temperatures) + + +# Pass mass flow values to pump for time series simulation +const_sink = control.ConstControl(net, element='circ_pump_mass', variable='mdot_kg_per_s',element_index=net.circ_pump_mass.index.values, data_source=ds_massflow,profile_name=net.circ_pump_mass.index.values.astype(str)) + + + +#Define number of time steps +time_steps = range(10) + + + +#Output Writer +log_variables = [ ('res_pipe', 'v_mean_m_per_s'),('res_pipe', 't_from_k'),('res_pipe', 't_to_k')] +ow = OutputWriter(net, time_steps, output_path=None, log_variables=log_variables) + +# Pass temperature values to pump for time series simulation +#const_sink = control.ConstControl(net, element='circ_pump_mass', variable='t_k',element_index=net.circ_pump_mass.index.values, data_source=ds_temperature,profile_name=net.circ_pump_mass.index.values.astype(str)) +previous_temperature = pd.DataFrame(net.res_pipe.t_to_k[1], index=time_steps, columns=['0'])#range(1)) +print(previous_temperature) +ds_temperature = DFData(previous_temperature) +print(ds_temperature) + +# @Quentin: the data_source='Pass' option doesn't exist in the current version of pandapipes (I think, this is even part of pandapower), this is what I added later on. The pass_variable is the temperature. So this way the outlet temperature of the component before the pipe is passed to the component after the pipe as a starting value +# unofortunately I couldnt find the actual implementation, but it was just a small edit, we will be able to reproduce it. +# This is the old function: +#const_sink = control.ConstControl(net, element='circ_pump_mass', variable='t_k',element_index=net.circ_pump_mass.index.values, data_source=None,profile_name=net.circ_pump_mass.index.values.astype(str)) +# new implementation: +const_sink = control.ConstControl(net, element='circ_pump_mass', variable='t_k',element_index=net.circ_pump_mass.index.values, data_source='Pass',profile_name=net.circ_pump_mass.index.values.astype(str), pass_element='res_pipe', pass_variable='t_to_k', pass_element_index=1) + + +#Run time series simulation +run_timeseries(net, time_steps, mode = "all") + +print("volume flow pipe:") +print(ow.np_results["res_pipe.v_mean_m_per_s"]) +print("temperature into pipe:") +print(ow.np_results["res_pipe.t_from_k"]) +print("temperature out of pipe:") +print(ow.np_results["res_pipe.t_to_k"]) \ No newline at end of file From 60ddbc286c0f1390eb6055b35cf9023f1245a149 Mon Sep 17 00:00:00 2001 From: Pineau Date: Tue, 10 Jan 2023 14:05:11 +0100 Subject: [PATCH 02/35] First minimal example running with transient heat transfer mode --- files/Temperature.csv | 21 ++ files/heat_flow_source_timesteps.csv | 11 + pandapipes/pipeflow.py | 2 +- .../transient_test_one_pipe.py | 139 +++++++++++++ .../transient_test_tee_junction.py | 194 ++++++++++++++++++ 5 files changed, 366 insertions(+), 1 deletion(-) create mode 100644 files/Temperature.csv create mode 100644 files/heat_flow_source_timesteps.csv create mode 100644 pandapipes/test/pipeflow_internals/transient_test_one_pipe.py create mode 100644 pandapipes/test/pipeflow_internals/transient_test_tee_junction.py diff --git a/files/Temperature.csv b/files/Temperature.csv new file mode 100644 index 00000000..8beac97a --- /dev/null +++ b/files/Temperature.csv @@ -0,0 +1,21 @@ +p1;;;;;;; +alpha;d;mdot;cp;Text;Tinit;l;T +10;0.075;4;4182;293;330;0;330 +5;0.075;4;4182;293;330;250;329.3542547 +5;0.075;4;4182;293;330;500;328.7197794 +5;0.075;4;4182;293;330;750;328.0963773 +5;0.075;4;4182;293;330;1000;327.4838552 +p2;;;;;;; +alpha;d;mdot;cp;Text;Tinit;l;T +5;0.075;2;4182;293;327.4838552;0;327.4838552 +5;0.075;2;4182;293;327.4838552;250;326.2906946 +5;0.075;2;4182;293;327.4838552;500;325.138818 +5;0.075;2;4182;293;327.4838552;750;324.026797 +5;0.075;2;4182;293;327.4838552;1000;322.9532526 +p3;;;;;;; +alpha;d;mdot;cp;Text;Tinit;l;T +5;0.075;2;4182;293;327.4838552;0;327.4838552 +5;0.075;2;4182;293;327.4838552;250;326.2906946 +5;0.075;2;4182;293;327.4838552;500;325.138818 +5;0.075;2;4182;293;327.4838552;750;324.026797 +5;0.075;2;4182;293;327.4838552;1000;322.9532526 diff --git a/files/heat_flow_source_timesteps.csv b/files/heat_flow_source_timesteps.csv new file mode 100644 index 00000000..7796485b --- /dev/null +++ b/files/heat_flow_source_timesteps.csv @@ -0,0 +1,11 @@ +,0 +0,293 +1,293 +2,293 +3,293 +4,330 +5,330 +6,330 +7,330 +8,330 +9,330 \ No newline at end of file diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 1280ce93..7247efc0 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -202,7 +202,7 @@ def heat_transfer(net): while not get_net_option(net, "converged") and niter <= max_iter: logger.debug("niter %d" % niter) - # solve_hydraulics is where the calculation takes place + # solve_temperature is where the calculation takes place t_out, t_out_old, t_init, t_init_old, epsilon = solve_temperature(net) # Error estimation & convergence plot diff --git a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py new file mode 100644 index 00000000..ce5e76cc --- /dev/null +++ b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py @@ -0,0 +1,139 @@ +import pytest + +import pandapipes as pp +import numpy as np +import copy +import matplotlib.pyplot as plt +import time +import tempfile +# create empty net +import pandas as pd +import os +import pandapower.control as control +from pandapipes.component_models import Pipe +from pandapipes.timeseries import run_timeseries, init_default_outputwriter +from pandapower.timeseries import OutputWriter, DFData +from pandapipes.test.pipeflow_internals import internals_data_path +from types import MethodType + + +class OutputWriterTransient(OutputWriter): + def _save_single_xls_sheet(self, append): + raise NotImplementedError("Sorry not implemented yet") + + def _init_log_variable(self, net, table, variable, index=None, eval_function=None, + eval_name=None): + if table == "res_internal": + index = np.arange(len(net.junction) + net.pipe.sections.sum() - len(net.pipe)) + return super()._init_log_variable(net, table, variable, index, eval_function, eval_name) + + +def _output_writer(net, time_steps, ow_path=None): + """ + Creating an output writer. + + :param net: Prepared pandapipes net + :type net: pandapipesNet + :param time_steps: Time steps to calculate as a list or range + :type time_steps: list, range + :param ow_path: Path to a folder where the output is written to. + :type ow_path: string, default None + :return: Output writer + :rtype: pandapower.timeseries.output_writer.OutputWriter + """ + + if transient_transfer: + log_variables = [ + ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k'), ('res_internal', 't_k') + ] + else: + log_variables = [ + ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k') + ] + ow = OutputWriterTransient(net, time_steps, output_path=ow_path, log_variables=log_variables) + return ow + + +transient_transfer = True +service = True + +net = pp.create_empty_network(fluid="water") +# create junctions +j1 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293, name="Junction 1") +j2 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293, name="Junction 2") +#j3 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293, name="Junction 3") + +# create junction elements +ext_grid = pp.create_ext_grid(net, junction=j1, p_bar=5, t_k=330, name="Grid Connection") +sink = pp.create_sink(net, junction=j2, mdot_kg_per_s=10, name="Sink") + +# create branch elements +sections = 9 +nodes = 2 +length = 0.1 +pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=.0472, sections=sections, + alpha_w_per_m2k=5, text_k=293) +# pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=.0472, sections=sections, +# alpha_w_per_m2k=5, text_k=293) +# pp.create_valve(net, from_junction=j2, to_junction=j3, diameter_m=0.310, opened=True, loss_coefficient=4.51378671) + +# read in csv files for control of sources/sinks + +profiles_source = pd.read_csv(os.path.join('../../../../files', + 'heat_flow_source_timesteps.csv'), + index_col=0) + +ds_source = DFData(profiles_source) + +const_source = control.ConstControl(net, element='ext_grid', variable='t_k', + element_index=net.ext_grid.index.values, + data_source=ds_source, + profile_name=net.ext_grid.index.values.astype(str), + in_service=service) + +dt = 5 +time_steps = range(ds_source.df.shape[0]) +ow = _output_writer(net, time_steps, ow_path=tempfile.gettempdir()) +run_timeseries(net, time_steps, mode="all",transient=transient_transfer, iter=30, dt=dt) + +if transient_transfer: + res_T = ow.np_results["res_internal.t_k"] +else: + res_T = ow.np_results["res_junctions.t_k"] +pipe1 = np.zeros(((sections + 1), res_T.shape[0])) + +pipe1[0, :] = copy.deepcopy(res_T[:, 0]) +pipe1[-1, :] = copy.deepcopy(res_T[:, 1]) +if transient_transfer: + pipe1[1:-1, :] = np.transpose(copy.deepcopy(res_T[:, nodes:nodes + (sections - 1)])) +print(pipe1) # columns: timesteps, rows: pipe segments + +print("v: ", net.res_pipe.loc[0, "v_mean_m_per_s"]) +print("timestepsreq: ", ((length * 1000) / net.res_pipe.loc[0, "v_mean_m_per_s"]) / dt) + +print("net.res_pipe:") +print(net.res_pipe) +print("net.res_junction:") +print(net.res_junction) +if transient_transfer: + print("net.res_internal:") + print(net.res_internal) +print("net.res_ext_grid") +print(net.res_ext_grid) + +x = time_steps +fig = plt.figure() +plt.xlabel("time step") +plt.ylabel("temperature at both junctions [K]") +plt.title("junction results temperature transient") +plt.plot(x, pipe1[0,:], "r-o") +plt.plot(x, pipe1[-1,:], "y-o") +if transient_transfer: + plt.plot(x, pipe1[1, :], "g-o") + plt.legend(["Junction 0", "Junction 1", "Section 1"]) +else: + plt.legend(["Junction 0", "Junction 1"]) +plt.grid() +plt.savefig("files/output/temperature_step_transient.png") +plt.show() +plt.close() diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py new file mode 100644 index 00000000..ad40f151 --- /dev/null +++ b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py @@ -0,0 +1,194 @@ +import pandapipes as pp +import numpy as np +import copy +import matplotlib.pyplot as plt +import time +import tempfile +# create empty net +import pandas as pd +import os +import pandapower.control as control +from pandapipes.component_models import Pipe +from pandapipes.timeseries import run_timeseries, init_default_outputwriter +from pandapower.timeseries import OutputWriter, DFData +from types import MethodType +import matplotlib + + +class OutputWriterTransient(OutputWriter): + def _save_single_xls_sheet(self, append): + raise NotImplementedError("Sorry not implemented yet") + + def _init_log_variable(self, net, table, variable, index=None, eval_function=None, + eval_name=None): + if table == "res_internal": + index = np.arange(len(net.junction) + net.pipe.sections.sum() - len(net.pipe)) + return super()._init_log_variable(net, table, variable, index, eval_function, eval_name) + + +def _output_writer(net, time_steps, ow_path=None): + """ + Creating an output writer. + + :param net: Prepared pandapipes net + :type net: pandapipesNet + :param time_steps: Time steps to calculate as a list or range + :type time_steps: list, range + :param ow_path: Path to a folder where the output is written to. + :type ow_path: string, default None + :return: Output writer + :rtype: pandapower.timeseries.output_writer.OutputWriter + """ + + if transient_transfer: + log_variables = [ + ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k'), ('res_internal', 't_k') + ] + else: + log_variables = [ + ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k') + ] + ow = OutputWriterTransient(net, time_steps, output_path=ow_path, log_variables=log_variables) + return ow + + +transient_transfer = True +service = True + +net = pp.create_empty_network(fluid="water") +# create junctions + +j1 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 1") +j2 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 2") +j3 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 3") +j4 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 4") + +# create junction elements +ext_grid = pp.create_ext_grid(net, junction=j1, p_bar=5, t_k=330, name="Grid Connection") +sink = pp.create_sink(net, junction=j3, mdot_kg_per_s=2, name="Sink") +sink = pp.create_sink(net, junction=j4, mdot_kg_per_s=2, name="Sink") + +# create branch elements +sections = 4 +nodes = 4 +length = 0.1 +pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=.0472, sections=sections, + alpha_w_per_m2k=5, text_k=293.15) +pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=.0472, sections=sections, + alpha_w_per_m2k=5, text_k=293.15) +pp.create_pipe_from_parameters(net, j2, j4, length, 75e-3, k_mm=.0472, sections=sections, + alpha_w_per_m2k=5, text_k=293.15) + +''' +# read in csv files for control of sources/sinks + +profiles_source = pd.read_csv(os.path.join('files', + 'heat_flow_source_timesteps.csv'), + index_col=0) + +ds_source = DFData(profiles_source) + +const_source = control.ConstControl(net, element='ext_grid', variable='t_k', + element_index=net.ext_grid.index.values, + data_source=ds_source, + profile_name=net.ext_grid.index.values.astype(str), + in_service=service) + +time_steps = range(ds_source.df.shape[0]) +dt = 60 +''' +time_steps = range(100) +ow = _output_writer(net, time_steps, ow_path=tempfile.gettempdir()) +run_timeseries(net, time_steps, transient=transient_transfer, mode="all", dt=1) #, iter=20, dt=dt + + +res_T = ow.np_results["res_internal.t_k"] +print(res_T) +pipe1 = np.zeros(((sections + 1), res_T.shape[0])) +pipe2 = np.zeros(((sections + 1), res_T.shape[0])) +pipe3 = np.zeros(((sections + 1), res_T.shape[0])) + +pipe1[0, :] = copy.deepcopy(res_T[:, 0]) +pipe1[-1, :] = copy.deepcopy(res_T[:, 1]) +pipe2[0, :] = copy.deepcopy(res_T[:, 1]) +pipe2[-1, :] = copy.deepcopy(res_T[:, 2]) +pipe3[0, :] = copy.deepcopy(res_T[:, 1]) +pipe3[-1, :] = copy.deepcopy(res_T[:, 3]) +pipe1[1:-1, :] = np.transpose(copy.deepcopy(res_T[:, nodes:nodes + (sections - 1)])) +pipe2[1:-1, :] = np.transpose( + copy.deepcopy(res_T[:, nodes + (sections - 1):nodes + (2 * (sections - 1))])) +pipe3[1:-1, :] = np.transpose( + copy.deepcopy(res_T[:, nodes + (2 * (sections - 1)):nodes + (3 * (sections - 1))])) + +datap1 = pd.read_csv(os.path.join('../../../files', 'Temperature.csv'), + sep=';', + header=1, nrows=5, keep_default_na=False) +datap2 = pd.read_csv(os.path.join('../../../files', 'Temperature.csv'), + sep=';', + header=8, nrows=5, keep_default_na=False) +datap3 = pd.read_csv(os.path.join('../../../files', 'Temperature.csv'), + sep=';', + header=15, nrows=5, keep_default_na=False) + + +from IPython.display import clear_output + +plt.ion() + +fig = plt.figure() +ax = fig.add_subplot(221) +ax1 = fig.add_subplot(222) +ax2 = fig.add_subplot(223) +ax.set_title("Pipe 1") +ax1.set_title("Pipe 2") +ax2.set_title("Pipe 3") +ax.set_ylabel("Temperature [K]") +ax1.set_ylabel("Temperature [K]") +ax2.set_ylabel("Temperature [K]") +ax.set_xlabel("Length coordinate [m]") +ax1.set_xlabel("Length coordinate [m]") +ax2.set_xlabel("Length coordinate [m]") + +line1, = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe1[:, 10], color="black", + marker="+", label ="Time step 10", linestyle="dashed") +line11, = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe1[:, 30], color="black", + linestyle="dotted", label ="Time step 30") +line12, = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe1[:, 90], color="black", + linestyle="dashdot", label ="Time step 90") +d1 = ax.plot(np.arange(0, sections+1, 1)*1000/sections, datap1["T"], color="black") +line2, = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe2[:, 10], color="black", + marker="+", label="Stationary solution") +line21, = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe2[:, 30], color="black", + linestyle="dotted") +line22, = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe2[:, 90], color="black", + linestyle="dashdot") +d2 = ax1.plot(np.arange(0, sections+1, 1)*1000/sections, datap2["T"], color="black") +line3, = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe3[:, 10], color="black", + marker="+", linestyle="dashed") +line31, = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe3[:, 30], color="black", + linestyle="dotted") +line32, = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe3[:, 90], color="black", + linestyle="dashdot") +d3 = ax2.plot(np.arange(0, sections+1, 1), datap3["T"], color="black") +ax.set_ylim((280, 335)) +ax1.set_ylim((280, 335)) +ax2.set_ylim((280, 335)) +ax.legend() +fig.canvas.draw() +plt.show() + + +for phase in time_steps: + ax.set_ylim((280,335)) + ax1.set_ylim((280,335)) + ax2.set_ylim((280,335)) + line1.set_ydata(pipe1[:,phase]) + line2.set_ydata(pipe2[:,phase]) + line3.set_ydata(pipe3[:, phase]) + fig.canvas.draw() + fig.canvas.flush_events() + #plt.pause(.01) + + +print(net.res_pipe) +print(net.res_junction) From 1f1799c5a4af7fea078ac0d81d373d946f21ca19 Mon Sep 17 00:00:00 2001 From: qlyons Date: Wed, 11 Jan 2023 18:16:57 +0100 Subject: [PATCH 03/35] test:: initial changes to init file for new dynamic valve --- pandapipes/component_models/__init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pandapipes/component_models/__init__.py b/pandapipes/component_models/__init__.py index 63ee85d7..f1253bb3 100644 --- a/pandapipes/component_models/__init__.py +++ b/pandapipes/component_models/__init__.py @@ -5,6 +5,7 @@ from pandapipes.component_models.junction_component import * from pandapipes.component_models.pipe_component import * from pandapipes.component_models.valve_component import * +from pandapipes.component_models.dynamic_valve_component import * from pandapipes.component_models.ext_grid_component import * from pandapipes.component_models.sink_component import * from pandapipes.component_models.source_component import * From 24be771842a8173ec6c2ae74b69981b4baa2d553 Mon Sep 17 00:00:00 2001 From: qlyons Date: Fri, 13 Jan 2023 08:09:08 +0100 Subject: [PATCH 04/35] Implementation of dynamic valve and pump, variable speed curves, various valve curves --- .../abstract_models/branch_models.py | 2 +- .../dynamic_valve_component.py | 191 +++++++++++++++ pandapipes/component_models/pump_component.py | 37 ++- pandapipes/idx_branch.py | 21 +- pandapipes/idx_node.py | 2 +- pandapipes/pf/derivative_calculation.py | 4 +- pandapipes/pf/derivative_toolbox.py | 8 +- pandapipes/pf/pipeflow_setup.py | 2 +- pandapipes/pf/result_extraction.py | 10 +- pandapipes/pipeflow.py | 29 ++- .../PumpCurve_100_3285rpm.csv | 8 + .../PumpCurve_49_1614rpm.csv | 7 + .../PumpCurve_70_2315rpm.csv | 7 + .../PumpCurve_90_2974rpm.csv | 8 + .../library/Dynamic_Valve/butterfly_50DN.csv | 12 + .../Dynamic_Valve/globe_50DN_equal.csv | 13 + .../library/Dynamic_Valve/linear.csv | 10 + pandapipes/std_types/std_type_class.py | 227 +++++++++++++++++- pandapipes/std_types/std_types.py | 66 ++++- setup.py | 2 +- 20 files changed, 620 insertions(+), 46 deletions(-) create mode 100644 pandapipes/component_models/dynamic_valve_component.py create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/linear.csv diff --git a/pandapipes/component_models/abstract_models/branch_models.py b/pandapipes/component_models/abstract_models/branch_models.py index fc047f27..0a2fd3b7 100644 --- a/pandapipes/component_models/abstract_models/branch_models.py +++ b/pandapipes/component_models/abstract_models/branch_models.py @@ -129,7 +129,7 @@ def calculate_derivatives_thermal(cls, net, branch_pit, node_pit, idx_lookups, o transient = get_net_option(net, "transient") - tvor = branch_pit[:, T_OUT_OLD] + tvor = branch_component_pit[:, T_OUT_OLD] delta_t = get_net_option(net, "dt") diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py new file mode 100644 index 00000000..4a150995 --- /dev/null +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -0,0 +1,191 @@ +# Copyright (c) 2020-2022 by Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel, and University of Kassel. All rights reserved. +# Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. + +import numpy as np +from numpy import dtype +from operator import itemgetter + +from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ + BranchWZeroLengthComponent +from pandapipes.component_models.junction_component import Junction +from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, NODE_TYPE, P, ACTIVE as ACTIVE_ND, LOAD +from pandapipes.idx_branch import D, AREA, TL, KV, ACTUAL_POS, STD_TYPE, R_TD, FROM_NODE, TO_NODE, \ + VINIT, RHO, PL, LOSS_COEFFICIENT as LC, DESIRED_MV, ACTIVE +from pandapipes.pf.result_extraction import extract_branch_results_without_internals +from pandapipes.properties.fluids import get_fluid + + +class DynamicValve(BranchWZeroLengthComponent): + """ + Dynamic Valves are branch elements that can separate two junctions. + They have a length of 0, but can introduce a lumped pressure loss. + The equation is based on the standard valve dynamics: q = Kv(h) * sqrt(Delta_P). + """ + fcts = None + + @classmethod + def set_function(cls, net): + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) + cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + @classmethod + def from_to_node_cols(cls): + return "from_junction", "to_junction" + + @classmethod + def table_name(cls): + return "dynamic_valve" + + @classmethod + def active_identifier(cls): + return "in_service" + + @classmethod + def get_connected_node_type(cls): + return Junction + + @classmethod + def create_pit_branch_entries(cls, net, branch_pit): + """ + Function which creates pit branch entries with a specific table. + + :param net: The pandapipes network + :type net: pandapipesNet + :param branch_pit: + :type branch_pit: + :return: No Output. + """ + valve_grids = net[cls.table_name()] + valve_pit = super().create_pit_branch_entries(net, branch_pit) + valve_pit[:, D] = net[cls.table_name()].diameter_m.values + valve_pit[:, AREA] = valve_pit[:, D] ** 2 * np.pi / 4 + valve_pit[:, KV] = net[cls.table_name()].Kv.values + valve_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values + valve_pit[:, R_TD] = net[cls.table_name()].r_td.values + + # Update in_service status if valve actual position becomes 0% + if valve_pit[:, ACTUAL_POS] > 0: + valve_pit[:, ACTIVE] = True + else: + valve_pit[:, ACTIVE] = False + + # TODO: is this std_types necessary here when we have already set the look up function? + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + valve_pit[pos, STD_TYPE] = std_type + + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + # calculation of valve flow via + + # we need to know which element is fixed, i.e Dynamic_Valve P_out, Dynamic_Valve P_in, Dynamic_Valve Flow_rate + f, t = idx_lookups[cls.table_name()] + valve_pit = branch_pit[f:t, :] + area = valve_pit[:, AREA] + #idx = valve_pit[:, STD_TYPE].astype(int) + #std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[idx] + from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) + to_nodes = valve_pit[:, TO_NODE].astype(np.int32) + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + + # look up travel (TODO: maybe a quick check if travel has changed instead of calling poly function each cycle? + #fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) + #fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + lift = np.divide(valve_pit[:, ACTUAL_POS], 100) + relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) + + kv_at_travel = relative_flow * valve_pit[:, KV] # m3/h.Bar + delta_p = p_from - p_to # bar + q_m3_h = kv_at_travel * np.sqrt(delta_p) + q_m3_s = np.divide(q_m3_h, 3600) + v_mps = np.divide(q_m3_s, area) + #v_mps = valve_pit[:, VINIT] + rho = valve_pit[:, RHO] + #rho = 1004 + zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) + valve_pit[:, LC] = zeta + #node_pit[:, LOAD] = q_m3_s * RHO # mdot_kg_per_s # we can not change the velocity nor load here!! + #valve_pit[:, VINIT] = v_mps + + @classmethod + def calculate_temperature_lift(cls, net, valve_pit, node_pit): + """ + + :param net: + :type net: + :param valve_pit: + :type valve_pit: + :param node_pit: + :type node_pit: + :return: + :rtype: + """ + valve_pit[:, TL] = 0 + + @classmethod + def get_component_input(cls): + """ + + :return: + :rtype: + """ + return [("name", dtype(object)), + ("from_junction", "i8"), + ("to_junction", "i8"), + ("diameter_m", "f8"), + ("actual_pos", "f8"), + ("std_type", dtype(object)), + ("Kv", "f8"), + ("r_td", "f8"), + ("type", dtype(object))] + + @classmethod + def extract_results(cls, net, options, branch_results, nodes_connected, branches_connected): + required_results = [ + ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), + ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), + ("vdot_norm_m3_per_s", "vf"), ("lambda", "lambda"), ("reynolds", "reynolds"), ("desired_mv", "desired_mv"), + ("actual_pos", "actual_pos") + ] + + if get_fluid(net).is_gas: + required_results.extend([ + ("v_from_m_per_s", "v_gas_from"), ("v_to_m_per_s", "v_gas_to"), + ("v_mean_m_per_s", "v_gas_mean"), ("normfactor_from", "normfactor_from"), + ("normfactor_to", "normfactor_to") + ]) + else: + required_results.extend([("v_mean_m_per_s", "v_mps")]) + + extract_branch_results_without_internals(net, branch_results, required_results, + cls.table_name(), branches_connected) + + @classmethod + def get_result_table(cls, net): + """ + + :param net: The pandapipes network + :type net: pandapipesNet + :return: (columns, all_float) - the column names and whether they are all float type. Only + if False, returns columns as tuples also specifying the dtypes + :rtype: (list, bool) + """ + if get_fluid(net).is_gas: + output = ["v_from_m_per_s", "v_to_m_per_s", "v_mean_m_per_s", "p_from_bar", "p_to_bar", + "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", + "vdot_norm_m3_per_s", "reynolds", "lambda", "normfactor_from", + "normfactor_to", "desired_mv", "actual_pos"] + else: + output = ["v_mean_m_per_s", "p_from_bar", "p_to_bar", "t_from_k", "t_to_k", + "mdot_from_kg_per_s", "mdot_to_kg_per_s", "vdot_norm_m3_per_s", "reynolds", + "lambda", "desired_mv", "actual_pos"] + return output, True diff --git a/pandapipes/component_models/pump_component.py b/pandapipes/component_models/pump_component.py index 4c7f9c13..7bd69ea8 100644 --- a/pandapipes/component_models/pump_component.py +++ b/pandapipes/component_models/pump_component.py @@ -10,9 +10,9 @@ from pandapipes.component_models.junction_component import Junction from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ BranchWZeroLengthComponent -from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION +from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, TL, LOSS_COEFFICIENT as LC, FROM_NODE, \ - TINIT, PL + TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.pipeflow_setup import get_fluid, get_net_option, get_lookup from pandapipes.pf.result_extraction import extract_branch_results_without_internals @@ -30,6 +30,17 @@ class Pump(BranchWZeroLengthComponent): """ + fcts = None # Sets the std_type_class for lookup function + + @classmethod + def set_function(cls, net, type): + std_types_lookup = np.array(list(net.std_types[type].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types[type].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types'][type]) + cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + @classmethod def from_to_node_cols(cls): return "from_junction", "to_junction" @@ -65,6 +76,8 @@ def create_pit_branch_entries(cls, net, branch_pit): pump_pit[:, D] = 0.1 pump_pit[:, AREA] = pump_pit[:, D] ** 2 * np.pi / 4 pump_pit[:, LC] = 0 + pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): @@ -72,13 +85,13 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo f, t = idx_lookups[cls.table_name()] pump_pit = branch_pit[f:t, :] area = pump_pit[:, AREA] - idx = pump_pit[:, STD_TYPE].astype(int) - std_types = np.array(list(net.std_types['pump'].keys()))[idx] + #idx = pump_pit[:, STD_TYPE].astype(int) + #std_types = np.array(list(net.std_types['pump'].keys()))[idx] from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) - # to_nodes = pump_pit[:, TO_NODE].astype(np.int32) + ## to_nodes = pump_pit[:, TO_NODE].astype(np.int32) fluid = get_fluid(net) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - # p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + ## p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] v_mps = pump_pit[:, VINIT] if fluid.is_gas: @@ -89,9 +102,15 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo else: v_mean = v_mps vol = v_mean * area - fcts = itemgetter(*std_types)(net['std_types']['pump']) - fcts = [fcts] if not isinstance(fcts, tuple) else fcts - pl = np.array(list(map(lambda x, y: x.get_pressure(y), fcts, vol))) + # no longer required as function preset on class initialisation + #fcts = itemgetter(*std_types)(net['std_types']['pump']) + #fcts = [fcts] if not isinstance(fcts, tuple) else fcts + if net[cls.table_name()]['type'].values == 'pump': + pl = np.array(list(map(lambda x, y: x.get_pressure(y), cls.fcts, vol))) + else: # type is dynamic pump + speed = pump_pit[:, ACTUAL_POS] + hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), cls.fcts, vol, speed))) + pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar pump_pit[:, PL] = pl @classmethod diff --git a/pandapipes/idx_branch.py b/pandapipes/idx_branch.py index 138f3446..fbef3d37 100644 --- a/pandapipes/idx_branch.py +++ b/pandapipes/idx_branch.py @@ -17,12 +17,12 @@ VINIT = 12 # velocity in [m/s] RE = 13 # Reynolds number LAMBDA = 14 # Lambda -JAC_DERIV_DV = 15 # Slot for the derivative by velocity -JAC_DERIV_DP = 16 # Slot for the derivative by pressure from_node -JAC_DERIV_DP1 = 17 # Slot for the derivative by pressure to_node -LOAD_VEC_BRANCHES = 18 # Slot for the load vector for the branches -JAC_DERIV_DV_NODE = 19 # Slot for the derivative by velocity for the nodes connected to branch -LOAD_VEC_NODES = 20 # Slot for the load vector of the nodes connected to branch +JAC_DERIV_DV = 15 # Slot for the derivative by velocity # df_dv +JAC_DERIV_DP = 16 # Slot for the derivative by pressure from_node # df_dp +JAC_DERIV_DP1 = 17 # Slot for the derivative by pressure to_node # df_dp1 +LOAD_VEC_BRANCHES = 18 # Slot for the load vector for the branches : pressure difference between nodes (Bar) #load_vec +JAC_DERIV_DV_NODE = 19 # Slot for the derivative by velocity for the nodes connected to branch #df_dv_nodes +LOAD_VEC_NODES = 20 # Slot for the load vector of the nodes connected to branch : mass_flow (kg_s) # load_vec_nodes LOSS_COEFFICIENT = 21 CP = 22 # Slot for fluid heat capacity values ALPHA = 23 # Slot for heat transfer coefficient @@ -38,10 +38,13 @@ QEXT = 33 # heat input in [W] TEXT = 34 STD_TYPE = 35 -PL = 36 +PL = 36 # Pressure lift.?? TL = 37 # Temperature lift [K] BRANCH_TYPE = 38 # branch type relevant for the pressure controller PRESSURE_RATIO = 39 # boost ratio for compressors with proportional pressure lift T_OUT_OLD = 40 - -branch_cols = 41 +KV= 41 # dynamic valve flow characteristics +DESIRED_MV= 42 # Final Control Element (FCE) Desired Manipulated Value percentage opened +ACTUAL_POS= 43 # Final Control Element (FCE) Actual Position Value percentage opened +R_TD= 44 # Dynamic valve ratio-turndown +branch_cols = 45 \ No newline at end of file diff --git a/pandapipes/idx_node.py b/pandapipes/idx_node.py index 0e9df9ac..82086430 100644 --- a/pandapipes/idx_node.py +++ b/pandapipes/idx_node.py @@ -16,7 +16,7 @@ ACTIVE = 3 RHO = 4 # Density in [kg/m^3] PINIT = 5 -LOAD = 6 +LOAD = 6 # sink load: mdot_kg_per_s HEIGHT = 7 TINIT = 8 PAMB = 9 # Ambient pressure in [bar] diff --git a/pandapipes/pf/derivative_calculation.py b/pandapipes/pf/derivative_calculation.py index 741eb6fb..e154f1a3 100644 --- a/pandapipes/pf/derivative_calculation.py +++ b/pandapipes/pf/derivative_calculation.py @@ -23,7 +23,7 @@ def calculate_derivatives_hydraulic(net, branch_pit, node_pit, options): fluid = get_fluid(net) gas_mode = fluid.is_gas friction_model = options["friction_model"] - + # Darcy Friction factor: lambda lambda_, re = calc_lambda( branch_pit[:, VINIT], branch_pit[:, ETA], branch_pit[:, RHO], branch_pit[:, D], branch_pit[:, K], gas_mode, friction_model, branch_pit[:, LENGTH], options) @@ -134,7 +134,7 @@ def calc_lambda(v, eta, rho, d, k, gas_mode, friction_model, lengths, options): "argument to the pipeflow.") return lambda_colebrook, re elif friction_model == "swamee-jain": - lambda_swamee_jain = 0.25 / ((np.log10(k/(3.7*d) + 5.74/(re**0.9)))**2) + lambda_swamee_jain = 1.325 / ((np.log10(k/(3.7*d) + 5.74/(re**0.9)))**2) return lambda_swamee_jain, re else: # lambda_tot = np.where(re > 2300, lambda_laminar + lambda_nikuradse, lambda_laminar) diff --git a/pandapipes/pf/derivative_toolbox.py b/pandapipes/pf/derivative_toolbox.py index 1dc93d71..c0f80782 100644 --- a/pandapipes/pf/derivative_toolbox.py +++ b/pandapipes/pf/derivative_toolbox.py @@ -23,10 +23,10 @@ def derivatives_hydraulic_incomp_np(branch_pit, der_lambda, p_init_i_abs, p_init * np.divide(branch_pit[:, LENGTH], branch_pit[:, D]) * v_init2) load_vec = p_init_i_abs - p_init_i1_abs + branch_pit[:, PL] \ + const_p_term * (GRAVITATION_CONSTANT * 2 * height_difference - - v_init2 * lambda_term) - mass_flow_dv = branch_pit[:, RHO] * branch_pit[:, AREA] - df_dv_nodes = mass_flow_dv - load_vec_nodes = mass_flow_dv * branch_pit[:, VINIT] + - v_init2 * lambda_term) # pressure difference between nodes (Bar) + mass_flow_dv = branch_pit[:, RHO] * branch_pit[:, AREA] # (kg/m3)*(m2) + df_dv_nodes = mass_flow_dv # kg/m + load_vec_nodes = mass_flow_dv * branch_pit[:, VINIT] # mass_flow (kg_s) df_dp = np.ones_like(der_lambda) * (-1) df_dp1 = np.ones_like(der_lambda) return load_vec, load_vec_nodes, df_dv, df_dv_nodes, df_dp, df_dp1 diff --git a/pandapipes/pf/pipeflow_setup.py b/pandapipes/pf/pipeflow_setup.py index b4f487e8..2ac5a118 100644 --- a/pandapipes/pf/pipeflow_setup.py +++ b/pandapipes/pf/pipeflow_setup.py @@ -285,7 +285,7 @@ def init_options(net, local_parameters): if "user_pf_options" in net and len(net.user_pf_options) > 0: net["_options"].update(net.user_pf_options) - # the last layer is the layer of passeed parameters by the user, it is defined as the local + # the last layer is the layer of passed parameters by the user, it is defined as the local # existing parameters during the pipeflow call which diverges from the default parameters of the # function definition in the second layer params = dict() diff --git a/pandapipes/pf/result_extraction.py b/pandapipes/pf/result_extraction.py index c453c9f5..ac6abb1f 100644 --- a/pandapipes/pf/result_extraction.py +++ b/pandapipes/pf/result_extraction.py @@ -2,7 +2,7 @@ from pandapipes.constants import NORMAL_PRESSURE, NORMAL_TEMPERATURE from pandapipes.idx_branch import ELEMENT_IDX, FROM_NODE, TO_NODE, LOAD_VEC_NODES, VINIT, RE, \ - LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL + LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL, DESIRED_MV, ACTUAL_POS from pandapipes.idx_node import TABLE_IDX as TABLE_IDX_NODE, PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.internals_toolbox import _sum_by_group from pandapipes.pf.pipeflow_setup import get_table_number, get_lookup, get_net_option @@ -26,12 +26,12 @@ def extract_all_results(net, nodes_connected, branches_connected): """ branch_pit = net["_pit"]["branch"] node_pit = net["_pit"]["node"] - v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl = \ - get_basic_branch_results(net, branch_pit, node_pit) + v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl, desired_mv, \ + actual_pos = get_basic_branch_results(net, branch_pit, node_pit) branch_results = {"v_mps": v_mps, "mf_from": mf, "mf_to": -mf, "vf": vf, "p_from": p_from, "p_to": p_to, "from_nodes": from_nodes, "to_nodes": to_nodes, "temp_from": temp_from, "temp_to": temp_to, "reynolds": reynolds, - "lambda": _lambda, "pl": pl} + "lambda": _lambda, "pl": pl, "actual_pos": actual_pos, "desired_mv": desired_mv} if get_fluid(net).is_gas: if get_net_option(net, "use_numba"): v_gas_from, v_gas_to, v_gas_mean, p_abs_from, p_abs_to, p_abs_mean, normfactor_from, \ @@ -63,7 +63,7 @@ def get_basic_branch_results(net, branch_pit, node_pit): vf = mf / get_fluid(net).get_density((t0 + t1) / 2) return branch_pit[:, VINIT], mf, vf, from_nodes, to_nodes, t0, t1, branch_pit[:, RE], \ branch_pit[:, LAMBDA], node_pit[from_nodes, PINIT], node_pit[to_nodes, PINIT], \ - branch_pit[:, PL] + branch_pit[:, PL], branch_pit[:, DESIRED_MV], branch_pit[:, ACTUAL_POS] def get_branch_results_gas(net, branch_pit, node_pit, from_nodes, to_nodes, v_mps, p_from, p_to): diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 7247efc0..72edc0e2 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -89,7 +89,7 @@ def pipeflow(net, sol_vec=None, **kwargs): calculate_heat = calculation_mode in ["heat", "all"] # TODO: This is not necessary in every time step, but we need the result! The result of the - # connectivity check is curnetly not saved anywhere! + # connectivity check is currently not saved anywhere! if get_net_option(net, "check_connectivity"): nodes_connected, branches_connected = check_connectivity( net, branch_pit, node_pit, check_heat=calculate_heat) @@ -142,6 +142,19 @@ def hydraulics(net): error_v, error_p, residual_norm = [], [], None # This loop is left as soon as the solver converged + # Assumes this loop is the Newton-Raphson iteration loop + # 1: ODE -> integrate to get function y(0) + # 2: Build Jacobian matrix df1/dx1, df1/dx2 etc. (this means take derivative of each variable x1,x2,x3...) + # 3: Consider initial guess for x1,x2,x3,... this is a vector x(0) = [x1,x2,x3,x4,] + # 4: Compute value of Jacobian at these guesses x(0) above + # 5: Take inverse of Jacobian (not always able to thus LU decomposition, spsolve...) + # 6: Evaluate function from step 1 at the initial guesses from step 3 + # 7 The first iteration is the: initial_guess_vector - Jacobian@initial_guess * function vector@initial_guess + # x(1) = x(0) - J^-1(x(0) *F(0) + # The repeat from step 3 again until error convergence + # x(2) = x(1) - J^-1(x(1) *F(1) + # note: Jacobian equations don't change, just the X values subbed in at each iteration which + # makes the jacobian different while not get_net_option(net, "converged") and niter <= max_iter: logger.debug("niter %d" % niter) @@ -214,7 +227,7 @@ def heat_transfer(net): error_t_out.append(linalg.norm(delta_t_out) / (len(delta_t_out))) finalize_iteration(net, niter, error_t, error_t_out, residual_norm, nonlinear_method, tol_t, - tol_t, tol_res, t_init_old, t_out_old, hyraulic_mode=True) + tol_t, tol_res, t_init_old, t_out_old, hydraulic_mode=True) logger.debug("F: %s" % epsilon.round(4)) logger.debug("T_init_: %s" % t_init.round(4)) logger.debug("T_out_: %s" % t_out.round(4)) @@ -227,7 +240,7 @@ def heat_transfer(net): converged = get_net_option(net, "converged") net['converged'] = converged - log_final_results(net, converged, niter, residual_norm, hyraulic_mode=False) + log_final_results(net, converged, niter, residual_norm, hydraulic_mode=False) return converged, niter @@ -342,8 +355,8 @@ def set_damping_factor(net, niter, error): def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_method, tol_1, tol_2, - tol_res, vals_1_old, vals_2_old, hyraulic_mode=True): - col1, col2 = (PINIT, VINIT) if hyraulic_mode else (TINIT, T_OUT) + tol_res, vals_1_old, vals_2_old, hydraulic_mode=True): + col1, col2 = (PINIT, VINIT) if hydraulic_mode else (TINIT, T_OUT) # Control of damping factor if nonlinear_method == "automatic": @@ -363,7 +376,7 @@ def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_me elif get_net_option(net, "alpha") == 1: set_net_option(net, "converged", True) - if hyraulic_mode: + if hydraulic_mode: logger.debug("errorv: %s" % error_1[niter]) logger.debug("errorp: %s" % error_2[niter]) logger.debug("alpha: %s" % get_net_option(net, "alpha")) @@ -372,8 +385,8 @@ def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_me logger.debug("alpha: %s" % get_net_option(net, "alpha")) -def log_final_results(net, converged, niter, residual_norm, hyraulic_mode=True): - if hyraulic_mode: +def log_final_results(net, converged, niter, residual_norm, hydraulic_mode=True): + if hydraulic_mode: solver = "hydraulics" outputs = ["tol_p", "tol_v"] else: diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv new file mode 100644 index 00000000..f55dcf53 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv @@ -0,0 +1,8 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;49.95;0.1;100;2 +0.593;48.41;25.1; +1.467;46.28;44.1; +2.391;42.99;53.8; +3.084;39.13;56.8; +4.189;29.66;53.8; +4.99;20;43.4; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv new file mode 100644 index 00000000..f45883cc --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001; 11.88; 0.1; 49.0; 2 +0.492; 10.92; 36.3; +0.73; 10.72; 44.8; +1.12; 9.949; 53.4; +1.698; 8.21; 56.9; +2.391; 4.731; 43.9; diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv new file mode 100644 index 00000000..5853662a --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;24.44;0.1;70;2 +0.687;23.28;35.3; +1.286;22.51;48.7; +1.987;20.19;56.1; +2.889;14.97;54.4; +3.488;9.949;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv new file mode 100644 index 00000000..4bfe9754 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv @@ -0,0 +1,8 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;40.1;0.1;90;2 +0.586;38.74;26.9; +1.293;37.2;43.8; +2.29;33.91;54.8; +3.084;29.27;57; +3.835;22.7;52.9; +4.434;16.13;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv new file mode 100644 index 00000000..5aea5798 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv @@ -0,0 +1,12 @@ +relative_flow;relative_travel;degree +0;0;0 +0.027273;0.222222; +0.081818;0.333333; +0.190909;0.444444; +0.354545;0.555556; +0.590909;0.666667; +0.845455;0.777778; +0.954545;0.888889; +1.000000;1.000000; + + diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv new file mode 100644 index 00000000..9e1ee1ba --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv @@ -0,0 +1,13 @@ +relative_flow;relative_travel;degree +0.019132653; 0; 3 +0.020663265; 0.05; +0.025255102; 0.1; +0.051020408; 0.2; +0.109693878; 0.3; +0.206632653; 0.4; +0.339285714; 0.5; +0.494897959; 0.6; +0.645408163; 0.7; +0.783163265; 0.8; +0.895408163; 0.9; +1; 1; diff --git a/pandapipes/std_types/library/Dynamic_Valve/linear.csv b/pandapipes/std_types/library/Dynamic_Valve/linear.csv new file mode 100644 index 00000000..5fb32481 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/linear.csv @@ -0,0 +1,10 @@ +relative_flow;relative_travel;degree +0; 0; 1 +0.2; 0.2; +0.3; 0.3; +0.4; 0.4; +0.5; 0.5; +0.6; 0.6; +0.7; 0.7; +0.9; 0.9; +1.0; 1.0; \ No newline at end of file diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py index 39d0e634..fa565f1d 100644 --- a/pandapipes/std_types/std_type_class.py +++ b/pandapipes/std_types/std_type_class.py @@ -7,7 +7,8 @@ import numpy as np from pandapipes import logger from pandapower.io_utils import JSONSerializableClass - +from scipy.interpolate import interp2d +import plotly.graph_objects as go class StdType(JSONSerializableClass): """ @@ -112,6 +113,203 @@ def from_list(cls, name, p_values, v_values, degree): return pump_st +class DynPumpStdType(StdType): + + def __init__(self, name, interp2d_fct): + """ + + :param name: Name of the pump object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a pump object + :type reg_par: List of floats + """ + super(DynPumpStdType, self).__init__(name, 'dynamic_pump') + self.interp2d_fct = interp2d_fct + self._head_list = None + self._flowrate_list = None + self._speed_list = None + self._efficiency = None + self._individual_curves = None + self._reg_polynomial_degree = 2 + + def get_m_head(self, vdot_m3_per_s, speed): + """ + Calculate the head (m) lift based on 2D linear interpolation function. + + It is ensured that the head (m) lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param vdot_m3_per_s: Volume flow rate of a fluid in [m^3/s]. Abs() will be applied. + :type vdot_m3_per_s: float + :return: This function returns the corresponding pressure to the given volume flow rate \ + in [bar] + :rtype: float + """ + # no reverse flow - for vdot < 0, assume bypassing + if vdot_m3_per_s < 0: + logger.debug("Reverse flow observed in a %s pump. " + "Bypassing without pressure change is assumed" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + m_head = self.interp2d_fct((vdot_m3_per_s / 1 * 3600), speed) + return m_head + + def plot_pump_curve(self): + + fig = go.Figure(go.Surface( + contours={ + "x": {"show": True, "start": 1.5, "end": 2, "size": 0.04, "color": "white"}, + "z": {"show": True, "start": 0.5, "end": 0.8, "size": 0.05} + }, + x=self._flowrate_list, + y=self._speed_list, + z=self._head_list)) + fig.update_xaxes = 'flow' + fig.update_yaxes = 'speed' + fig.update_layout(scene=dict( + xaxis_title='x: Flow (m3/h)', + yaxis_title='y: Speed (%)', + zaxis_title='z: Head (m)'), + title='Pump Curve', autosize=False, + width=1000, height=1000, + ) + #fig.show() + + return fig #self._flowrate_list, self._speed_list, self._head_list + + + @classmethod + def from_folder(cls, name, dyn_path): + pump_st = None + individual_curves = {} + # Compile dictionary of dataframes from file path + x_flow_max = 0 + speed_list = [] + + for file_name in os.listdir(dyn_path): + key_name = file_name[0:file_name.find('.')] + individual_curves[key_name] = get_data(os.path.join(dyn_path, file_name), 'dyn_pump') + speed_list.append(individual_curves[key_name].speed_pct[0]) + + if max(individual_curves[key_name].Vdot_m3ph) > x_flow_max: + x_flow_max = max(individual_curves[key_name].Vdot_m3ph) + + if individual_curves: + flow_list = np.linspace(0, x_flow_max, 10) + head_list = np.zeros([len(speed_list), len(flow_list)]) + + for idx, key in enumerate(individual_curves): + # create individual poly equations for each curve and append to (z)_head_list + reg_par = np.polyfit(individual_curves[key].Vdot_m3ph.values, individual_curves[key].Head_m.values, + individual_curves[key].degree.values[0]) + n = np.arange(len(reg_par), 0, -1) + head_list[idx::] = [max(0, sum(reg_par * x ** (n - 1))) for x in flow_list] + + # Sorting the speed and head list results: + head_list_sorted = np.zeros([len(speed_list), len(flow_list)]) + speed_sorted = sorted(speed_list) + for idx_s, val_s in enumerate(speed_sorted): + for idx_us, val_us in enumerate(speed_list): + if val_s == val_us: # find sorted value in unsorted list + head_list_sorted[idx_s, :] = head_list[idx_us, :] + + + # interpolate 2d function to determine head (m) from specified flow and speed variables + interp2d_fct = interp2d(flow_list, speed_list, head_list, kind='cubic', fill_value='0') + + pump_st = cls(name, interp2d_fct) + pump_st._flowrate_list = flow_list + pump_st._speed_list = speed_sorted # speed_list + pump_st._head_list = head_list_sorted # head_list + pump_st._individual_curves = individual_curves + + return pump_st + + + + +class ValveStdType(StdType): + def __init__(self, name, reg_par): + """ + + :param name: Name of the dynamic valve object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a valve object + :type reg_par: List of floats + """ + super(ValveStdType, self).__init__(name, 'dynamic_valve') + self.reg_par = reg_par + self._relative_flow_list = None + self._relative_travel_list = None + self._reg_polynomial_degree = 2 + + def update_valve(self, travel_list, flow_list, reg_polynomial_degree): + reg_par = regression_function(travel_list, flow_list, reg_polynomial_degree) + self.reg_par = reg_par + self._relative_travel_list = travel_list + self._relative_flow_list = flow_list + self._reg_polynomial_degree = reg_polynomial_degree + + def get_relative_flow(self, relative_travel): + """ + Calculate the pressure lift based on a polynomial from a regression. + + It is ensured that the pressure lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param relative_travel: Relative valve travel (opening). + :type relative_travel: float + :return: This function returns the corresponding relative flow coefficient to the given valve travel + :rtype: float + """ + if self._reg_polynomial_degree == 0: + # Compute linear interpolation + f = linear_interpolation(relative_travel, self._relative_travel_list, self._relative_flow_list) + return f + + else: + n = np.arange(len(self.reg_par), 0, -1) + if relative_travel < 0: + logger.debug("Issue with dynamic valve travel dimensions." + "Issue here" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + f = max(0, sum(self.reg_par * relative_travel ** (n - 1))) + + return f + + @classmethod + def from_path(cls, name, path): + """ + + :param name: Name of the valve object + :type name: str + :param path: Path where the CSV file, defining a valve object, is stored + :type path: str + :return: An object of the valve standard type class + :rtype: ValveStdType + """ + f_values, h_values, degree = get_f_h_values(path) + reg_par = regression_function(f_values, h_values, degree) + valve_st = cls(name, reg_par) + valve_st._relative_flow_list = f_values + valve_st._relative_travel_list = h_values + valve_st._reg_polynomial_degree = degree + return valve_st + + @classmethod + def from_list(cls, name, f_values, h_values, degree): + reg_par = regression_function(f_values, h_values, degree) + valve_st = cls(name, reg_par) + valve_st._relative_flow_list = f_values + valve_st._relative_travel_list = h_values + valve_st._reg_polynomial_degree = degree + return valve_st + def get_data(path, std_type_category): """ get_data. @@ -128,6 +326,13 @@ def get_data(path, std_type_category): data = pd.read_csv(path, sep=';', dtype=np.float64) elif std_type_category == 'pipe': data = pd.read_csv(path, sep=';', index_col=0).T + elif std_type_category == 'valve': + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + elif std_type_category == 'dyn_pump': + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + else: raise AttributeError('std_type_category %s not implemented yet' % std_type_category) return data @@ -147,6 +352,20 @@ def get_p_v_values(path): degree = data.values[0, 2] return p_values, v_values, degree +def get_f_h_values(path): + """ + + :param path: + :type path: + :return: + :rtype: + """ + data = get_data(path, 'valve') + f_values = data.values[:, 0] + h_values = data.values[:, 1] + degree = data.values[0, 2] + return f_values, h_values, degree + def regression_function(p_values, v_values, degree): """ @@ -167,3 +386,9 @@ def regression_function(p_values, v_values, degree): z = np.polyfit(v_values, p_values, degree) reg_par = z return reg_par + + +def linear_interpolation(x, xp, fp): + # provides linear interpolation of points + z = np.interp(x, xp, fp) + return z diff --git a/pandapipes/std_types/std_types.py b/pandapipes/std_types/std_types.py index 55862d31..8a6f08b1 100644 --- a/pandapipes/std_types/std_types.py +++ b/pandapipes/std_types/std_types.py @@ -8,7 +8,7 @@ import pandas as pd from pandapipes import pp_dir -from pandapipes.std_types.std_type_class import get_data, PumpStdType +from pandapipes.std_types.std_type_class import get_data, PumpStdType, ValveStdType, DynPumpStdType try: import pandaplan.core.pplog as logging @@ -39,10 +39,10 @@ def create_std_type(net, component, std_type_name, typedata, overwrite=False, ch if component == "pipe": required = ["inner_diameter_mm"] else: - if component in ["pump"]: + if component in ["pump", "dynamic_pump", "dynamic_valve"]: required = [] else: - raise ValueError("Unkown component type %s" % component) + raise ValueError("Unknown component type %s" % component) for par in required: if par not in typedata: raise UserWarning("%s is required as %s type parameter" % (par, component)) @@ -209,7 +209,7 @@ def change_std_type(net, cid, name, component): def create_pump_std_type(net, name, pump_object, overwrite=False): """ - Create a new pump stdandard type object and add it to the pump standard types in net. + Create a new pump standard type object and add it to the pump standard types in net. :param net: The pandapipes network to which the standard type is added. :type net: pandapipesNet @@ -228,6 +228,49 @@ def create_pump_std_type(net, name, pump_object, overwrite=False): create_std_type(net, "pump", name, pump_object, overwrite) +def create_dynamic_pump_std_type(net, name, pump_object, overwrite=False): + """ + Create a new pump standard type object and add it to the pump standard types in net. + + :param net: The pandapipes network to which the standard type is added. + :type net: pandapipesNet + :param name: name of the created standard type + :type name: str + :param pump_object: dynamic pump standard type object + :type pump_object: DynPumpStdType + :param overwrite: if True, overwrites the standard type if it already exists in the net + :type overwrite: bool, default False + :return: + :rtype: + """ + if not isinstance(pump_object, DynPumpStdType): + raise ValueError("dynamic pump needs to be of DynPumpStdType") + + create_std_type(net, "dynamic_pump", name, pump_object, overwrite) + + +def create_valve_std_type(net, name, valve_object, overwrite=False): + """ + Create a new valve inherent characteristic standard type object and add it to the valve standard + types in net. + + :param net: The pandapipes network to which the standard type is added. + :type net: pandapipesNet + :param name: name of the created standard type + :type name: str + :param valve_object: valve inherent characteristic type object + :type valve_object: ValveStdType + :param overwrite: if True, overwrites the standard type if it already exists in the net + :type overwrite: bool, default False + :return: + :rtype: + """ + if not isinstance(valve_object, ValveStdType): + raise ValueError("valve needs to be of ValveStdType") + + create_std_type(net, "dynamic_valve", name, valve_object, overwrite) + + def add_basic_std_types(net): """ @@ -236,12 +279,27 @@ def add_basic_std_types(net): """ pump_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Pump")) + dyn_valve_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Valve")) + dyn_pump_folder = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Pump")) + for pump_file in pump_files: pump_name = str(pump_file.split(".")[0]) pump = PumpStdType.from_path(pump_name, os.path.join(pp_dir, "std_types", "library", "Pump", pump_file)) create_pump_std_type(net, pump_name, pump, True) + for dyn_pump_name in dyn_pump_folder: + dyn_pump = DynPumpStdType.from_folder(dyn_pump_name, os.path.join(pp_dir, "std_types", "library", + "Dynamic_Pump", dyn_pump_name)) + if dyn_pump is not None: + create_dynamic_pump_std_type(net, dyn_pump_name, dyn_pump, True) + + for dyn_valve_file in dyn_valve_files: + dyn_valve_name = str(dyn_valve_file.split(".")[0]) + dyn_valve = ValveStdType.from_path(dyn_valve_name, os.path.join(pp_dir, "std_types", "library", + "Dynamic_Valve", dyn_valve_file)) + create_valve_std_type(net, dyn_valve_name, dyn_valve, True) + pipe_file = os.path.join(pp_dir, "std_types", "library", "Pipe.csv") data = get_data(pipe_file, "pipe").to_dict() create_std_types(net, "pipe", data, True) diff --git a/setup.py b/setup.py index 2467c2dc..29f7fdc9 100644 --- a/setup.py +++ b/setup.py @@ -43,7 +43,7 @@ long_description_content_type='text/x-rst', url='http://www.pandapipes.org', license='BSD', - install_requires=["pandapower>=2.10.1", "matplotlib"], + install_requires=["matplotlib"], #"pandapower>=2.10.1", - removed and install by git extras_require={"docs": ["numpydoc", "sphinx", "sphinx_rtd_theme", "sphinxcontrib.bibtex"], "plotting": ["plotly", "python-igraph"], "test": ["pytest", "pytest-xdist", "nbmake"], From 437181ab5fdcbcde8f9d7f75d454b7aae1deffa1 Mon Sep 17 00:00:00 2001 From: qlyons Date: Fri, 13 Jan 2023 08:09:08 +0100 Subject: [PATCH 05/35] Implementation of dynamic valve and pump, variable speed curves, various valve curves --- .../abstract_models/branch_models.py | 2 +- .../dynamic_valve_component.py | 191 +++++++++++++++ pandapipes/component_models/pump_component.py | 37 ++- pandapipes/create.py | 69 +++++- pandapipes/idx_branch.py | 21 +- pandapipes/idx_node.py | 2 +- pandapipes/pf/derivative_calculation.py | 4 +- pandapipes/pf/derivative_toolbox.py | 8 +- pandapipes/pf/pipeflow_setup.py | 2 +- pandapipes/pf/result_extraction.py | 10 +- pandapipes/pipeflow.py | 29 ++- .../PumpCurve_100_3285rpm.csv | 8 + .../PumpCurve_49_1614rpm.csv | 7 + .../PumpCurve_70_2315rpm.csv | 7 + .../PumpCurve_90_2974rpm.csv | 8 + .../library/Dynamic_Valve/butterfly_50DN.csv | 12 + .../Dynamic_Valve/globe_50DN_equal.csv | 13 + .../library/Dynamic_Valve/linear.csv | 10 + pandapipes/std_types/std_type_class.py | 227 +++++++++++++++++- pandapipes/std_types/std_types.py | 66 ++++- setup.py | 2 +- 21 files changed, 685 insertions(+), 50 deletions(-) create mode 100644 pandapipes/component_models/dynamic_valve_component.py create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/linear.csv diff --git a/pandapipes/component_models/abstract_models/branch_models.py b/pandapipes/component_models/abstract_models/branch_models.py index fc047f27..0a2fd3b7 100644 --- a/pandapipes/component_models/abstract_models/branch_models.py +++ b/pandapipes/component_models/abstract_models/branch_models.py @@ -129,7 +129,7 @@ def calculate_derivatives_thermal(cls, net, branch_pit, node_pit, idx_lookups, o transient = get_net_option(net, "transient") - tvor = branch_pit[:, T_OUT_OLD] + tvor = branch_component_pit[:, T_OUT_OLD] delta_t = get_net_option(net, "dt") diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py new file mode 100644 index 00000000..4a150995 --- /dev/null +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -0,0 +1,191 @@ +# Copyright (c) 2020-2022 by Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel, and University of Kassel. All rights reserved. +# Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. + +import numpy as np +from numpy import dtype +from operator import itemgetter + +from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ + BranchWZeroLengthComponent +from pandapipes.component_models.junction_component import Junction +from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, NODE_TYPE, P, ACTIVE as ACTIVE_ND, LOAD +from pandapipes.idx_branch import D, AREA, TL, KV, ACTUAL_POS, STD_TYPE, R_TD, FROM_NODE, TO_NODE, \ + VINIT, RHO, PL, LOSS_COEFFICIENT as LC, DESIRED_MV, ACTIVE +from pandapipes.pf.result_extraction import extract_branch_results_without_internals +from pandapipes.properties.fluids import get_fluid + + +class DynamicValve(BranchWZeroLengthComponent): + """ + Dynamic Valves are branch elements that can separate two junctions. + They have a length of 0, but can introduce a lumped pressure loss. + The equation is based on the standard valve dynamics: q = Kv(h) * sqrt(Delta_P). + """ + fcts = None + + @classmethod + def set_function(cls, net): + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) + cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + @classmethod + def from_to_node_cols(cls): + return "from_junction", "to_junction" + + @classmethod + def table_name(cls): + return "dynamic_valve" + + @classmethod + def active_identifier(cls): + return "in_service" + + @classmethod + def get_connected_node_type(cls): + return Junction + + @classmethod + def create_pit_branch_entries(cls, net, branch_pit): + """ + Function which creates pit branch entries with a specific table. + + :param net: The pandapipes network + :type net: pandapipesNet + :param branch_pit: + :type branch_pit: + :return: No Output. + """ + valve_grids = net[cls.table_name()] + valve_pit = super().create_pit_branch_entries(net, branch_pit) + valve_pit[:, D] = net[cls.table_name()].diameter_m.values + valve_pit[:, AREA] = valve_pit[:, D] ** 2 * np.pi / 4 + valve_pit[:, KV] = net[cls.table_name()].Kv.values + valve_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values + valve_pit[:, R_TD] = net[cls.table_name()].r_td.values + + # Update in_service status if valve actual position becomes 0% + if valve_pit[:, ACTUAL_POS] > 0: + valve_pit[:, ACTIVE] = True + else: + valve_pit[:, ACTIVE] = False + + # TODO: is this std_types necessary here when we have already set the look up function? + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + valve_pit[pos, STD_TYPE] = std_type + + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + # calculation of valve flow via + + # we need to know which element is fixed, i.e Dynamic_Valve P_out, Dynamic_Valve P_in, Dynamic_Valve Flow_rate + f, t = idx_lookups[cls.table_name()] + valve_pit = branch_pit[f:t, :] + area = valve_pit[:, AREA] + #idx = valve_pit[:, STD_TYPE].astype(int) + #std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[idx] + from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) + to_nodes = valve_pit[:, TO_NODE].astype(np.int32) + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + + # look up travel (TODO: maybe a quick check if travel has changed instead of calling poly function each cycle? + #fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) + #fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + lift = np.divide(valve_pit[:, ACTUAL_POS], 100) + relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) + + kv_at_travel = relative_flow * valve_pit[:, KV] # m3/h.Bar + delta_p = p_from - p_to # bar + q_m3_h = kv_at_travel * np.sqrt(delta_p) + q_m3_s = np.divide(q_m3_h, 3600) + v_mps = np.divide(q_m3_s, area) + #v_mps = valve_pit[:, VINIT] + rho = valve_pit[:, RHO] + #rho = 1004 + zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) + valve_pit[:, LC] = zeta + #node_pit[:, LOAD] = q_m3_s * RHO # mdot_kg_per_s # we can not change the velocity nor load here!! + #valve_pit[:, VINIT] = v_mps + + @classmethod + def calculate_temperature_lift(cls, net, valve_pit, node_pit): + """ + + :param net: + :type net: + :param valve_pit: + :type valve_pit: + :param node_pit: + :type node_pit: + :return: + :rtype: + """ + valve_pit[:, TL] = 0 + + @classmethod + def get_component_input(cls): + """ + + :return: + :rtype: + """ + return [("name", dtype(object)), + ("from_junction", "i8"), + ("to_junction", "i8"), + ("diameter_m", "f8"), + ("actual_pos", "f8"), + ("std_type", dtype(object)), + ("Kv", "f8"), + ("r_td", "f8"), + ("type", dtype(object))] + + @classmethod + def extract_results(cls, net, options, branch_results, nodes_connected, branches_connected): + required_results = [ + ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), + ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), + ("vdot_norm_m3_per_s", "vf"), ("lambda", "lambda"), ("reynolds", "reynolds"), ("desired_mv", "desired_mv"), + ("actual_pos", "actual_pos") + ] + + if get_fluid(net).is_gas: + required_results.extend([ + ("v_from_m_per_s", "v_gas_from"), ("v_to_m_per_s", "v_gas_to"), + ("v_mean_m_per_s", "v_gas_mean"), ("normfactor_from", "normfactor_from"), + ("normfactor_to", "normfactor_to") + ]) + else: + required_results.extend([("v_mean_m_per_s", "v_mps")]) + + extract_branch_results_without_internals(net, branch_results, required_results, + cls.table_name(), branches_connected) + + @classmethod + def get_result_table(cls, net): + """ + + :param net: The pandapipes network + :type net: pandapipesNet + :return: (columns, all_float) - the column names and whether they are all float type. Only + if False, returns columns as tuples also specifying the dtypes + :rtype: (list, bool) + """ + if get_fluid(net).is_gas: + output = ["v_from_m_per_s", "v_to_m_per_s", "v_mean_m_per_s", "p_from_bar", "p_to_bar", + "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", + "vdot_norm_m3_per_s", "reynolds", "lambda", "normfactor_from", + "normfactor_to", "desired_mv", "actual_pos"] + else: + output = ["v_mean_m_per_s", "p_from_bar", "p_to_bar", "t_from_k", "t_to_k", + "mdot_from_kg_per_s", "mdot_to_kg_per_s", "vdot_norm_m3_per_s", "reynolds", + "lambda", "desired_mv", "actual_pos"] + return output, True diff --git a/pandapipes/component_models/pump_component.py b/pandapipes/component_models/pump_component.py index 4c7f9c13..7bd69ea8 100644 --- a/pandapipes/component_models/pump_component.py +++ b/pandapipes/component_models/pump_component.py @@ -10,9 +10,9 @@ from pandapipes.component_models.junction_component import Junction from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ BranchWZeroLengthComponent -from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION +from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, TL, LOSS_COEFFICIENT as LC, FROM_NODE, \ - TINIT, PL + TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.pipeflow_setup import get_fluid, get_net_option, get_lookup from pandapipes.pf.result_extraction import extract_branch_results_without_internals @@ -30,6 +30,17 @@ class Pump(BranchWZeroLengthComponent): """ + fcts = None # Sets the std_type_class for lookup function + + @classmethod + def set_function(cls, net, type): + std_types_lookup = np.array(list(net.std_types[type].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types[type].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types'][type]) + cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + @classmethod def from_to_node_cols(cls): return "from_junction", "to_junction" @@ -65,6 +76,8 @@ def create_pit_branch_entries(cls, net, branch_pit): pump_pit[:, D] = 0.1 pump_pit[:, AREA] = pump_pit[:, D] ** 2 * np.pi / 4 pump_pit[:, LC] = 0 + pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): @@ -72,13 +85,13 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo f, t = idx_lookups[cls.table_name()] pump_pit = branch_pit[f:t, :] area = pump_pit[:, AREA] - idx = pump_pit[:, STD_TYPE].astype(int) - std_types = np.array(list(net.std_types['pump'].keys()))[idx] + #idx = pump_pit[:, STD_TYPE].astype(int) + #std_types = np.array(list(net.std_types['pump'].keys()))[idx] from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) - # to_nodes = pump_pit[:, TO_NODE].astype(np.int32) + ## to_nodes = pump_pit[:, TO_NODE].astype(np.int32) fluid = get_fluid(net) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - # p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + ## p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] v_mps = pump_pit[:, VINIT] if fluid.is_gas: @@ -89,9 +102,15 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo else: v_mean = v_mps vol = v_mean * area - fcts = itemgetter(*std_types)(net['std_types']['pump']) - fcts = [fcts] if not isinstance(fcts, tuple) else fcts - pl = np.array(list(map(lambda x, y: x.get_pressure(y), fcts, vol))) + # no longer required as function preset on class initialisation + #fcts = itemgetter(*std_types)(net['std_types']['pump']) + #fcts = [fcts] if not isinstance(fcts, tuple) else fcts + if net[cls.table_name()]['type'].values == 'pump': + pl = np.array(list(map(lambda x, y: x.get_pressure(y), cls.fcts, vol))) + else: # type is dynamic pump + speed = pump_pit[:, ACTUAL_POS] + hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), cls.fcts, vol, speed))) + pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar pump_pit[:, PL] = pl @classmethod diff --git a/pandapipes/create.py b/pandapipes/create.py index c7cefe5c..c17b7340 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -6,7 +6,7 @@ import pandas as pd from pandapipes.component_models import Junction, Sink, Source, Pump, Pipe, ExtGrid, \ - HeatExchanger, Valve, CirculationPumpPressure, CirculationPumpMass, PressureControlComponent, \ + HeatExchanger, Valve, DynamicValve, CirculationPumpPressure, CirculationPumpMass, PressureControlComponent, \ Compressor from pandapipes.component_models.component_toolbox import add_new_component from pandapipes.pandapipes_net import pandapipesNet, get_basic_net_entries, add_default_components @@ -504,8 +504,64 @@ def create_valve(net, from_junction, to_junction, diameter_m, opened=True, loss_ return index +def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, Kv, r_td= 25.0, + actual_pos=10.00, desired_mv= None, in_service=True, name=None, index=None, + type='i', **kwargs): + """ + Creates a valve element in net["valve"] from valve parameters. + + :param net: The net for which this valve should be created + :type net: pandapipesNet + :param from_junction: ID of the junction on one side which the valve will be connected with + :type from_junction: int + :param to_junction: ID of the junction on the other side which the valve will be connected with + :type to_junction: int + :param diameter_m: The valve diameter in [m] + :type diameter_m: float + :param Kv: Max Dynamic_Valve coefficient in terms of water flow (m3/h.bar) at a constant pressure drop of 1 Bar + :type Kv: float + :param actual_pos: Dynamic_Valve opened percentage, provides the initial valve status + :type actual_pos: float, default 10.0 % + :param std_type: There are currently three different std_types. This std_types are Kv1, Kv2, Kv3.\ + Each of them describes a specific valve flow characteristics related to equal, linear and quick opening + valves. + :type std_type: string, default None + :param name: A name tag for this valve + :type name: str, default None + :param index: Force a specified ID if it is available. If None, the index one higher than the\ + highest already existing index is selected. + :type index: int, default None + :param type: An identifier for special types + :type type: str, default None + :param in_service: True for in_service or False for out of service + :type in_service: bool, default True + :param kwargs: Additional keyword arguments will be added as further columns to the\ + net["valve"] table + :return: index - The unique ID of the created element + :rtype: int + + :Example: + >>> create_valve(net, 0, 1, diameter_m=4e-3, name="valve1", Kv= 5, r_td= 25.0, actual_pos=44.44, type= "fo") + + """ + add_new_component(net, DynamicValve) + + index = _get_index_with_check(net, "dynamic_valve", index) + check_branch(net, "DynamicValve", index, from_junction, to_junction) + + _check_std_type(net, std_type, "dynamic_valve", "create_dynamic_valve") + v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, + "diameter_m": diameter_m, "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv": Kv, "r_td": r_td, "std_type": std_type, + "type": type, "in_service": in_service} + _set_entries(net, "dynamic_valve", index, **v, **kwargs) + + DynamicValve.set_function(net) + + return index + + def create_pump(net, from_junction, to_junction, std_type, name=None, index=None, in_service=True, - type="pump", **kwargs): + actual_pos=70.00, desired_mv=None, type="pump", **kwargs): """ Adds one pump in table net["pump"]. @@ -536,6 +592,8 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None EXAMPLE: >>> create_pump(net, 0, 1, std_type="P1") + >>> create_pump(net, from_junction=junction0, to_junction=junction1, std_type= "CRE_36_AAAEHQQE_Pump_curves", + type="dynamic_pump") """ add_new_component(net, Pump) @@ -543,11 +601,14 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None index = _get_index_with_check(net, "pump", index) check_branch(net, "Pump", index, from_junction, to_junction) - _check_std_type(net, std_type, "pump", "create_pump") + _check_std_type(net, std_type, type, "create_pump") v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, - "std_type": std_type, "in_service": bool(in_service), "type": type} + "std_type": std_type, "in_service": bool(in_service), "type": type, "actual_pos": actual_pos, + "desired_mv": desired_mv,} _set_entries(net, "pump", index, **v, **kwargs) + Pump.set_function(net, type) + return index diff --git a/pandapipes/idx_branch.py b/pandapipes/idx_branch.py index 138f3446..fbef3d37 100644 --- a/pandapipes/idx_branch.py +++ b/pandapipes/idx_branch.py @@ -17,12 +17,12 @@ VINIT = 12 # velocity in [m/s] RE = 13 # Reynolds number LAMBDA = 14 # Lambda -JAC_DERIV_DV = 15 # Slot for the derivative by velocity -JAC_DERIV_DP = 16 # Slot for the derivative by pressure from_node -JAC_DERIV_DP1 = 17 # Slot for the derivative by pressure to_node -LOAD_VEC_BRANCHES = 18 # Slot for the load vector for the branches -JAC_DERIV_DV_NODE = 19 # Slot for the derivative by velocity for the nodes connected to branch -LOAD_VEC_NODES = 20 # Slot for the load vector of the nodes connected to branch +JAC_DERIV_DV = 15 # Slot for the derivative by velocity # df_dv +JAC_DERIV_DP = 16 # Slot for the derivative by pressure from_node # df_dp +JAC_DERIV_DP1 = 17 # Slot for the derivative by pressure to_node # df_dp1 +LOAD_VEC_BRANCHES = 18 # Slot for the load vector for the branches : pressure difference between nodes (Bar) #load_vec +JAC_DERIV_DV_NODE = 19 # Slot for the derivative by velocity for the nodes connected to branch #df_dv_nodes +LOAD_VEC_NODES = 20 # Slot for the load vector of the nodes connected to branch : mass_flow (kg_s) # load_vec_nodes LOSS_COEFFICIENT = 21 CP = 22 # Slot for fluid heat capacity values ALPHA = 23 # Slot for heat transfer coefficient @@ -38,10 +38,13 @@ QEXT = 33 # heat input in [W] TEXT = 34 STD_TYPE = 35 -PL = 36 +PL = 36 # Pressure lift.?? TL = 37 # Temperature lift [K] BRANCH_TYPE = 38 # branch type relevant for the pressure controller PRESSURE_RATIO = 39 # boost ratio for compressors with proportional pressure lift T_OUT_OLD = 40 - -branch_cols = 41 +KV= 41 # dynamic valve flow characteristics +DESIRED_MV= 42 # Final Control Element (FCE) Desired Manipulated Value percentage opened +ACTUAL_POS= 43 # Final Control Element (FCE) Actual Position Value percentage opened +R_TD= 44 # Dynamic valve ratio-turndown +branch_cols = 45 \ No newline at end of file diff --git a/pandapipes/idx_node.py b/pandapipes/idx_node.py index 0e9df9ac..82086430 100644 --- a/pandapipes/idx_node.py +++ b/pandapipes/idx_node.py @@ -16,7 +16,7 @@ ACTIVE = 3 RHO = 4 # Density in [kg/m^3] PINIT = 5 -LOAD = 6 +LOAD = 6 # sink load: mdot_kg_per_s HEIGHT = 7 TINIT = 8 PAMB = 9 # Ambient pressure in [bar] diff --git a/pandapipes/pf/derivative_calculation.py b/pandapipes/pf/derivative_calculation.py index 741eb6fb..e154f1a3 100644 --- a/pandapipes/pf/derivative_calculation.py +++ b/pandapipes/pf/derivative_calculation.py @@ -23,7 +23,7 @@ def calculate_derivatives_hydraulic(net, branch_pit, node_pit, options): fluid = get_fluid(net) gas_mode = fluid.is_gas friction_model = options["friction_model"] - + # Darcy Friction factor: lambda lambda_, re = calc_lambda( branch_pit[:, VINIT], branch_pit[:, ETA], branch_pit[:, RHO], branch_pit[:, D], branch_pit[:, K], gas_mode, friction_model, branch_pit[:, LENGTH], options) @@ -134,7 +134,7 @@ def calc_lambda(v, eta, rho, d, k, gas_mode, friction_model, lengths, options): "argument to the pipeflow.") return lambda_colebrook, re elif friction_model == "swamee-jain": - lambda_swamee_jain = 0.25 / ((np.log10(k/(3.7*d) + 5.74/(re**0.9)))**2) + lambda_swamee_jain = 1.325 / ((np.log10(k/(3.7*d) + 5.74/(re**0.9)))**2) return lambda_swamee_jain, re else: # lambda_tot = np.where(re > 2300, lambda_laminar + lambda_nikuradse, lambda_laminar) diff --git a/pandapipes/pf/derivative_toolbox.py b/pandapipes/pf/derivative_toolbox.py index 1dc93d71..c0f80782 100644 --- a/pandapipes/pf/derivative_toolbox.py +++ b/pandapipes/pf/derivative_toolbox.py @@ -23,10 +23,10 @@ def derivatives_hydraulic_incomp_np(branch_pit, der_lambda, p_init_i_abs, p_init * np.divide(branch_pit[:, LENGTH], branch_pit[:, D]) * v_init2) load_vec = p_init_i_abs - p_init_i1_abs + branch_pit[:, PL] \ + const_p_term * (GRAVITATION_CONSTANT * 2 * height_difference - - v_init2 * lambda_term) - mass_flow_dv = branch_pit[:, RHO] * branch_pit[:, AREA] - df_dv_nodes = mass_flow_dv - load_vec_nodes = mass_flow_dv * branch_pit[:, VINIT] + - v_init2 * lambda_term) # pressure difference between nodes (Bar) + mass_flow_dv = branch_pit[:, RHO] * branch_pit[:, AREA] # (kg/m3)*(m2) + df_dv_nodes = mass_flow_dv # kg/m + load_vec_nodes = mass_flow_dv * branch_pit[:, VINIT] # mass_flow (kg_s) df_dp = np.ones_like(der_lambda) * (-1) df_dp1 = np.ones_like(der_lambda) return load_vec, load_vec_nodes, df_dv, df_dv_nodes, df_dp, df_dp1 diff --git a/pandapipes/pf/pipeflow_setup.py b/pandapipes/pf/pipeflow_setup.py index b4f487e8..2ac5a118 100644 --- a/pandapipes/pf/pipeflow_setup.py +++ b/pandapipes/pf/pipeflow_setup.py @@ -285,7 +285,7 @@ def init_options(net, local_parameters): if "user_pf_options" in net and len(net.user_pf_options) > 0: net["_options"].update(net.user_pf_options) - # the last layer is the layer of passeed parameters by the user, it is defined as the local + # the last layer is the layer of passed parameters by the user, it is defined as the local # existing parameters during the pipeflow call which diverges from the default parameters of the # function definition in the second layer params = dict() diff --git a/pandapipes/pf/result_extraction.py b/pandapipes/pf/result_extraction.py index c453c9f5..ac6abb1f 100644 --- a/pandapipes/pf/result_extraction.py +++ b/pandapipes/pf/result_extraction.py @@ -2,7 +2,7 @@ from pandapipes.constants import NORMAL_PRESSURE, NORMAL_TEMPERATURE from pandapipes.idx_branch import ELEMENT_IDX, FROM_NODE, TO_NODE, LOAD_VEC_NODES, VINIT, RE, \ - LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL + LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL, DESIRED_MV, ACTUAL_POS from pandapipes.idx_node import TABLE_IDX as TABLE_IDX_NODE, PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.internals_toolbox import _sum_by_group from pandapipes.pf.pipeflow_setup import get_table_number, get_lookup, get_net_option @@ -26,12 +26,12 @@ def extract_all_results(net, nodes_connected, branches_connected): """ branch_pit = net["_pit"]["branch"] node_pit = net["_pit"]["node"] - v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl = \ - get_basic_branch_results(net, branch_pit, node_pit) + v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl, desired_mv, \ + actual_pos = get_basic_branch_results(net, branch_pit, node_pit) branch_results = {"v_mps": v_mps, "mf_from": mf, "mf_to": -mf, "vf": vf, "p_from": p_from, "p_to": p_to, "from_nodes": from_nodes, "to_nodes": to_nodes, "temp_from": temp_from, "temp_to": temp_to, "reynolds": reynolds, - "lambda": _lambda, "pl": pl} + "lambda": _lambda, "pl": pl, "actual_pos": actual_pos, "desired_mv": desired_mv} if get_fluid(net).is_gas: if get_net_option(net, "use_numba"): v_gas_from, v_gas_to, v_gas_mean, p_abs_from, p_abs_to, p_abs_mean, normfactor_from, \ @@ -63,7 +63,7 @@ def get_basic_branch_results(net, branch_pit, node_pit): vf = mf / get_fluid(net).get_density((t0 + t1) / 2) return branch_pit[:, VINIT], mf, vf, from_nodes, to_nodes, t0, t1, branch_pit[:, RE], \ branch_pit[:, LAMBDA], node_pit[from_nodes, PINIT], node_pit[to_nodes, PINIT], \ - branch_pit[:, PL] + branch_pit[:, PL], branch_pit[:, DESIRED_MV], branch_pit[:, ACTUAL_POS] def get_branch_results_gas(net, branch_pit, node_pit, from_nodes, to_nodes, v_mps, p_from, p_to): diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 7247efc0..72edc0e2 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -89,7 +89,7 @@ def pipeflow(net, sol_vec=None, **kwargs): calculate_heat = calculation_mode in ["heat", "all"] # TODO: This is not necessary in every time step, but we need the result! The result of the - # connectivity check is curnetly not saved anywhere! + # connectivity check is currently not saved anywhere! if get_net_option(net, "check_connectivity"): nodes_connected, branches_connected = check_connectivity( net, branch_pit, node_pit, check_heat=calculate_heat) @@ -142,6 +142,19 @@ def hydraulics(net): error_v, error_p, residual_norm = [], [], None # This loop is left as soon as the solver converged + # Assumes this loop is the Newton-Raphson iteration loop + # 1: ODE -> integrate to get function y(0) + # 2: Build Jacobian matrix df1/dx1, df1/dx2 etc. (this means take derivative of each variable x1,x2,x3...) + # 3: Consider initial guess for x1,x2,x3,... this is a vector x(0) = [x1,x2,x3,x4,] + # 4: Compute value of Jacobian at these guesses x(0) above + # 5: Take inverse of Jacobian (not always able to thus LU decomposition, spsolve...) + # 6: Evaluate function from step 1 at the initial guesses from step 3 + # 7 The first iteration is the: initial_guess_vector - Jacobian@initial_guess * function vector@initial_guess + # x(1) = x(0) - J^-1(x(0) *F(0) + # The repeat from step 3 again until error convergence + # x(2) = x(1) - J^-1(x(1) *F(1) + # note: Jacobian equations don't change, just the X values subbed in at each iteration which + # makes the jacobian different while not get_net_option(net, "converged") and niter <= max_iter: logger.debug("niter %d" % niter) @@ -214,7 +227,7 @@ def heat_transfer(net): error_t_out.append(linalg.norm(delta_t_out) / (len(delta_t_out))) finalize_iteration(net, niter, error_t, error_t_out, residual_norm, nonlinear_method, tol_t, - tol_t, tol_res, t_init_old, t_out_old, hyraulic_mode=True) + tol_t, tol_res, t_init_old, t_out_old, hydraulic_mode=True) logger.debug("F: %s" % epsilon.round(4)) logger.debug("T_init_: %s" % t_init.round(4)) logger.debug("T_out_: %s" % t_out.round(4)) @@ -227,7 +240,7 @@ def heat_transfer(net): converged = get_net_option(net, "converged") net['converged'] = converged - log_final_results(net, converged, niter, residual_norm, hyraulic_mode=False) + log_final_results(net, converged, niter, residual_norm, hydraulic_mode=False) return converged, niter @@ -342,8 +355,8 @@ def set_damping_factor(net, niter, error): def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_method, tol_1, tol_2, - tol_res, vals_1_old, vals_2_old, hyraulic_mode=True): - col1, col2 = (PINIT, VINIT) if hyraulic_mode else (TINIT, T_OUT) + tol_res, vals_1_old, vals_2_old, hydraulic_mode=True): + col1, col2 = (PINIT, VINIT) if hydraulic_mode else (TINIT, T_OUT) # Control of damping factor if nonlinear_method == "automatic": @@ -363,7 +376,7 @@ def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_me elif get_net_option(net, "alpha") == 1: set_net_option(net, "converged", True) - if hyraulic_mode: + if hydraulic_mode: logger.debug("errorv: %s" % error_1[niter]) logger.debug("errorp: %s" % error_2[niter]) logger.debug("alpha: %s" % get_net_option(net, "alpha")) @@ -372,8 +385,8 @@ def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_me logger.debug("alpha: %s" % get_net_option(net, "alpha")) -def log_final_results(net, converged, niter, residual_norm, hyraulic_mode=True): - if hyraulic_mode: +def log_final_results(net, converged, niter, residual_norm, hydraulic_mode=True): + if hydraulic_mode: solver = "hydraulics" outputs = ["tol_p", "tol_v"] else: diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv new file mode 100644 index 00000000..f55dcf53 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv @@ -0,0 +1,8 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;49.95;0.1;100;2 +0.593;48.41;25.1; +1.467;46.28;44.1; +2.391;42.99;53.8; +3.084;39.13;56.8; +4.189;29.66;53.8; +4.99;20;43.4; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv new file mode 100644 index 00000000..f45883cc --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001; 11.88; 0.1; 49.0; 2 +0.492; 10.92; 36.3; +0.73; 10.72; 44.8; +1.12; 9.949; 53.4; +1.698; 8.21; 56.9; +2.391; 4.731; 43.9; diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv new file mode 100644 index 00000000..5853662a --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;24.44;0.1;70;2 +0.687;23.28;35.3; +1.286;22.51;48.7; +1.987;20.19;56.1; +2.889;14.97;54.4; +3.488;9.949;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv new file mode 100644 index 00000000..4bfe9754 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv @@ -0,0 +1,8 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;40.1;0.1;90;2 +0.586;38.74;26.9; +1.293;37.2;43.8; +2.29;33.91;54.8; +3.084;29.27;57; +3.835;22.7;52.9; +4.434;16.13;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv new file mode 100644 index 00000000..5aea5798 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv @@ -0,0 +1,12 @@ +relative_flow;relative_travel;degree +0;0;0 +0.027273;0.222222; +0.081818;0.333333; +0.190909;0.444444; +0.354545;0.555556; +0.590909;0.666667; +0.845455;0.777778; +0.954545;0.888889; +1.000000;1.000000; + + diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv new file mode 100644 index 00000000..9e1ee1ba --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv @@ -0,0 +1,13 @@ +relative_flow;relative_travel;degree +0.019132653; 0; 3 +0.020663265; 0.05; +0.025255102; 0.1; +0.051020408; 0.2; +0.109693878; 0.3; +0.206632653; 0.4; +0.339285714; 0.5; +0.494897959; 0.6; +0.645408163; 0.7; +0.783163265; 0.8; +0.895408163; 0.9; +1; 1; diff --git a/pandapipes/std_types/library/Dynamic_Valve/linear.csv b/pandapipes/std_types/library/Dynamic_Valve/linear.csv new file mode 100644 index 00000000..5fb32481 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/linear.csv @@ -0,0 +1,10 @@ +relative_flow;relative_travel;degree +0; 0; 1 +0.2; 0.2; +0.3; 0.3; +0.4; 0.4; +0.5; 0.5; +0.6; 0.6; +0.7; 0.7; +0.9; 0.9; +1.0; 1.0; \ No newline at end of file diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py index 39d0e634..fa565f1d 100644 --- a/pandapipes/std_types/std_type_class.py +++ b/pandapipes/std_types/std_type_class.py @@ -7,7 +7,8 @@ import numpy as np from pandapipes import logger from pandapower.io_utils import JSONSerializableClass - +from scipy.interpolate import interp2d +import plotly.graph_objects as go class StdType(JSONSerializableClass): """ @@ -112,6 +113,203 @@ def from_list(cls, name, p_values, v_values, degree): return pump_st +class DynPumpStdType(StdType): + + def __init__(self, name, interp2d_fct): + """ + + :param name: Name of the pump object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a pump object + :type reg_par: List of floats + """ + super(DynPumpStdType, self).__init__(name, 'dynamic_pump') + self.interp2d_fct = interp2d_fct + self._head_list = None + self._flowrate_list = None + self._speed_list = None + self._efficiency = None + self._individual_curves = None + self._reg_polynomial_degree = 2 + + def get_m_head(self, vdot_m3_per_s, speed): + """ + Calculate the head (m) lift based on 2D linear interpolation function. + + It is ensured that the head (m) lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param vdot_m3_per_s: Volume flow rate of a fluid in [m^3/s]. Abs() will be applied. + :type vdot_m3_per_s: float + :return: This function returns the corresponding pressure to the given volume flow rate \ + in [bar] + :rtype: float + """ + # no reverse flow - for vdot < 0, assume bypassing + if vdot_m3_per_s < 0: + logger.debug("Reverse flow observed in a %s pump. " + "Bypassing without pressure change is assumed" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + m_head = self.interp2d_fct((vdot_m3_per_s / 1 * 3600), speed) + return m_head + + def plot_pump_curve(self): + + fig = go.Figure(go.Surface( + contours={ + "x": {"show": True, "start": 1.5, "end": 2, "size": 0.04, "color": "white"}, + "z": {"show": True, "start": 0.5, "end": 0.8, "size": 0.05} + }, + x=self._flowrate_list, + y=self._speed_list, + z=self._head_list)) + fig.update_xaxes = 'flow' + fig.update_yaxes = 'speed' + fig.update_layout(scene=dict( + xaxis_title='x: Flow (m3/h)', + yaxis_title='y: Speed (%)', + zaxis_title='z: Head (m)'), + title='Pump Curve', autosize=False, + width=1000, height=1000, + ) + #fig.show() + + return fig #self._flowrate_list, self._speed_list, self._head_list + + + @classmethod + def from_folder(cls, name, dyn_path): + pump_st = None + individual_curves = {} + # Compile dictionary of dataframes from file path + x_flow_max = 0 + speed_list = [] + + for file_name in os.listdir(dyn_path): + key_name = file_name[0:file_name.find('.')] + individual_curves[key_name] = get_data(os.path.join(dyn_path, file_name), 'dyn_pump') + speed_list.append(individual_curves[key_name].speed_pct[0]) + + if max(individual_curves[key_name].Vdot_m3ph) > x_flow_max: + x_flow_max = max(individual_curves[key_name].Vdot_m3ph) + + if individual_curves: + flow_list = np.linspace(0, x_flow_max, 10) + head_list = np.zeros([len(speed_list), len(flow_list)]) + + for idx, key in enumerate(individual_curves): + # create individual poly equations for each curve and append to (z)_head_list + reg_par = np.polyfit(individual_curves[key].Vdot_m3ph.values, individual_curves[key].Head_m.values, + individual_curves[key].degree.values[0]) + n = np.arange(len(reg_par), 0, -1) + head_list[idx::] = [max(0, sum(reg_par * x ** (n - 1))) for x in flow_list] + + # Sorting the speed and head list results: + head_list_sorted = np.zeros([len(speed_list), len(flow_list)]) + speed_sorted = sorted(speed_list) + for idx_s, val_s in enumerate(speed_sorted): + for idx_us, val_us in enumerate(speed_list): + if val_s == val_us: # find sorted value in unsorted list + head_list_sorted[idx_s, :] = head_list[idx_us, :] + + + # interpolate 2d function to determine head (m) from specified flow and speed variables + interp2d_fct = interp2d(flow_list, speed_list, head_list, kind='cubic', fill_value='0') + + pump_st = cls(name, interp2d_fct) + pump_st._flowrate_list = flow_list + pump_st._speed_list = speed_sorted # speed_list + pump_st._head_list = head_list_sorted # head_list + pump_st._individual_curves = individual_curves + + return pump_st + + + + +class ValveStdType(StdType): + def __init__(self, name, reg_par): + """ + + :param name: Name of the dynamic valve object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a valve object + :type reg_par: List of floats + """ + super(ValveStdType, self).__init__(name, 'dynamic_valve') + self.reg_par = reg_par + self._relative_flow_list = None + self._relative_travel_list = None + self._reg_polynomial_degree = 2 + + def update_valve(self, travel_list, flow_list, reg_polynomial_degree): + reg_par = regression_function(travel_list, flow_list, reg_polynomial_degree) + self.reg_par = reg_par + self._relative_travel_list = travel_list + self._relative_flow_list = flow_list + self._reg_polynomial_degree = reg_polynomial_degree + + def get_relative_flow(self, relative_travel): + """ + Calculate the pressure lift based on a polynomial from a regression. + + It is ensured that the pressure lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param relative_travel: Relative valve travel (opening). + :type relative_travel: float + :return: This function returns the corresponding relative flow coefficient to the given valve travel + :rtype: float + """ + if self._reg_polynomial_degree == 0: + # Compute linear interpolation + f = linear_interpolation(relative_travel, self._relative_travel_list, self._relative_flow_list) + return f + + else: + n = np.arange(len(self.reg_par), 0, -1) + if relative_travel < 0: + logger.debug("Issue with dynamic valve travel dimensions." + "Issue here" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + f = max(0, sum(self.reg_par * relative_travel ** (n - 1))) + + return f + + @classmethod + def from_path(cls, name, path): + """ + + :param name: Name of the valve object + :type name: str + :param path: Path where the CSV file, defining a valve object, is stored + :type path: str + :return: An object of the valve standard type class + :rtype: ValveStdType + """ + f_values, h_values, degree = get_f_h_values(path) + reg_par = regression_function(f_values, h_values, degree) + valve_st = cls(name, reg_par) + valve_st._relative_flow_list = f_values + valve_st._relative_travel_list = h_values + valve_st._reg_polynomial_degree = degree + return valve_st + + @classmethod + def from_list(cls, name, f_values, h_values, degree): + reg_par = regression_function(f_values, h_values, degree) + valve_st = cls(name, reg_par) + valve_st._relative_flow_list = f_values + valve_st._relative_travel_list = h_values + valve_st._reg_polynomial_degree = degree + return valve_st + def get_data(path, std_type_category): """ get_data. @@ -128,6 +326,13 @@ def get_data(path, std_type_category): data = pd.read_csv(path, sep=';', dtype=np.float64) elif std_type_category == 'pipe': data = pd.read_csv(path, sep=';', index_col=0).T + elif std_type_category == 'valve': + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + elif std_type_category == 'dyn_pump': + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + else: raise AttributeError('std_type_category %s not implemented yet' % std_type_category) return data @@ -147,6 +352,20 @@ def get_p_v_values(path): degree = data.values[0, 2] return p_values, v_values, degree +def get_f_h_values(path): + """ + + :param path: + :type path: + :return: + :rtype: + """ + data = get_data(path, 'valve') + f_values = data.values[:, 0] + h_values = data.values[:, 1] + degree = data.values[0, 2] + return f_values, h_values, degree + def regression_function(p_values, v_values, degree): """ @@ -167,3 +386,9 @@ def regression_function(p_values, v_values, degree): z = np.polyfit(v_values, p_values, degree) reg_par = z return reg_par + + +def linear_interpolation(x, xp, fp): + # provides linear interpolation of points + z = np.interp(x, xp, fp) + return z diff --git a/pandapipes/std_types/std_types.py b/pandapipes/std_types/std_types.py index 55862d31..8a6f08b1 100644 --- a/pandapipes/std_types/std_types.py +++ b/pandapipes/std_types/std_types.py @@ -8,7 +8,7 @@ import pandas as pd from pandapipes import pp_dir -from pandapipes.std_types.std_type_class import get_data, PumpStdType +from pandapipes.std_types.std_type_class import get_data, PumpStdType, ValveStdType, DynPumpStdType try: import pandaplan.core.pplog as logging @@ -39,10 +39,10 @@ def create_std_type(net, component, std_type_name, typedata, overwrite=False, ch if component == "pipe": required = ["inner_diameter_mm"] else: - if component in ["pump"]: + if component in ["pump", "dynamic_pump", "dynamic_valve"]: required = [] else: - raise ValueError("Unkown component type %s" % component) + raise ValueError("Unknown component type %s" % component) for par in required: if par not in typedata: raise UserWarning("%s is required as %s type parameter" % (par, component)) @@ -209,7 +209,7 @@ def change_std_type(net, cid, name, component): def create_pump_std_type(net, name, pump_object, overwrite=False): """ - Create a new pump stdandard type object and add it to the pump standard types in net. + Create a new pump standard type object and add it to the pump standard types in net. :param net: The pandapipes network to which the standard type is added. :type net: pandapipesNet @@ -228,6 +228,49 @@ def create_pump_std_type(net, name, pump_object, overwrite=False): create_std_type(net, "pump", name, pump_object, overwrite) +def create_dynamic_pump_std_type(net, name, pump_object, overwrite=False): + """ + Create a new pump standard type object and add it to the pump standard types in net. + + :param net: The pandapipes network to which the standard type is added. + :type net: pandapipesNet + :param name: name of the created standard type + :type name: str + :param pump_object: dynamic pump standard type object + :type pump_object: DynPumpStdType + :param overwrite: if True, overwrites the standard type if it already exists in the net + :type overwrite: bool, default False + :return: + :rtype: + """ + if not isinstance(pump_object, DynPumpStdType): + raise ValueError("dynamic pump needs to be of DynPumpStdType") + + create_std_type(net, "dynamic_pump", name, pump_object, overwrite) + + +def create_valve_std_type(net, name, valve_object, overwrite=False): + """ + Create a new valve inherent characteristic standard type object and add it to the valve standard + types in net. + + :param net: The pandapipes network to which the standard type is added. + :type net: pandapipesNet + :param name: name of the created standard type + :type name: str + :param valve_object: valve inherent characteristic type object + :type valve_object: ValveStdType + :param overwrite: if True, overwrites the standard type if it already exists in the net + :type overwrite: bool, default False + :return: + :rtype: + """ + if not isinstance(valve_object, ValveStdType): + raise ValueError("valve needs to be of ValveStdType") + + create_std_type(net, "dynamic_valve", name, valve_object, overwrite) + + def add_basic_std_types(net): """ @@ -236,12 +279,27 @@ def add_basic_std_types(net): """ pump_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Pump")) + dyn_valve_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Valve")) + dyn_pump_folder = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Pump")) + for pump_file in pump_files: pump_name = str(pump_file.split(".")[0]) pump = PumpStdType.from_path(pump_name, os.path.join(pp_dir, "std_types", "library", "Pump", pump_file)) create_pump_std_type(net, pump_name, pump, True) + for dyn_pump_name in dyn_pump_folder: + dyn_pump = DynPumpStdType.from_folder(dyn_pump_name, os.path.join(pp_dir, "std_types", "library", + "Dynamic_Pump", dyn_pump_name)) + if dyn_pump is not None: + create_dynamic_pump_std_type(net, dyn_pump_name, dyn_pump, True) + + for dyn_valve_file in dyn_valve_files: + dyn_valve_name = str(dyn_valve_file.split(".")[0]) + dyn_valve = ValveStdType.from_path(dyn_valve_name, os.path.join(pp_dir, "std_types", "library", + "Dynamic_Valve", dyn_valve_file)) + create_valve_std_type(net, dyn_valve_name, dyn_valve, True) + pipe_file = os.path.join(pp_dir, "std_types", "library", "Pipe.csv") data = get_data(pipe_file, "pipe").to_dict() create_std_types(net, "pipe", data, True) diff --git a/setup.py b/setup.py index 2467c2dc..29f7fdc9 100644 --- a/setup.py +++ b/setup.py @@ -43,7 +43,7 @@ long_description_content_type='text/x-rst', url='http://www.pandapipes.org', license='BSD', - install_requires=["pandapower>=2.10.1", "matplotlib"], + install_requires=["matplotlib"], #"pandapower>=2.10.1", - removed and install by git extras_require={"docs": ["numpydoc", "sphinx", "sphinx_rtd_theme", "sphinxcontrib.bibtex"], "plotting": ["plotly", "python-igraph"], "test": ["pytest", "pytest-xdist", "nbmake"], From 656cf7ad171c0a2177ac0342a4485d6a42a51d2f Mon Sep 17 00:00:00 2001 From: Pineau Date: Thu, 26 Jan 2023 11:39:47 +0100 Subject: [PATCH 06/35] Minimal example running with transient heat transfer mode and different time steps --- pandapipes/component_models/__init__.py | 1 + .../abstract_models/branch_models.py | 2 +- .../dynamic_valve_component.py | 191 ++++++++++++++ .../component_models/junction_component.py | 2 +- pandapipes/component_models/pump_component.py | 37 ++- pandapipes/create.py | 69 ++++- {files => pandapipes/files}/Temperature.csv | 0 .../files}/heat_flow_source_timesteps.csv | 0 .../tee_junction_timeseries_ext_grid.csv | 11 + .../files/tee_junction_timeseries_sinks.csv | 11 + pandapipes/idx_branch.py | 21 +- pandapipes/idx_node.py | 2 +- pandapipes/pf/derivative_calculation.py | 4 +- pandapipes/pf/derivative_toolbox.py | 8 +- pandapipes/pf/pipeflow_setup.py | 2 +- pandapipes/pf/result_extraction.py | 10 +- pandapipes/pipeflow.py | 29 ++- .../PumpCurve_100_3285rpm.csv | 8 + .../PumpCurve_49_1614rpm.csv | 7 + .../PumpCurve_70_2315rpm.csv | 7 + .../PumpCurve_90_2974rpm.csv | 8 + .../library/Dynamic_Valve/butterfly_50DN.csv | 12 + .../Dynamic_Valve/globe_50DN_equal.csv | 13 + .../library/Dynamic_Valve/linear.csv | 10 + pandapipes/std_types/std_type_class.py | 227 ++++++++++++++++- pandapipes/std_types/std_types.py | 66 ++++- .../transient_test_one_pipe.py | 6 +- .../transient_test_tee_junction.py | 111 +++----- ...ient_test_tee_junction_with_const_contr.py | 240 ++++++++++++++++++ setup.py | 2 +- 30 files changed, 992 insertions(+), 125 deletions(-) create mode 100644 pandapipes/component_models/dynamic_valve_component.py rename {files => pandapipes/files}/Temperature.csv (100%) rename {files => pandapipes/files}/heat_flow_source_timesteps.csv (100%) create mode 100644 pandapipes/files/tee_junction_timeseries_ext_grid.csv create mode 100644 pandapipes/files/tee_junction_timeseries_sinks.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/linear.csv create mode 100644 pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py diff --git a/pandapipes/component_models/__init__.py b/pandapipes/component_models/__init__.py index 63ee85d7..f1253bb3 100644 --- a/pandapipes/component_models/__init__.py +++ b/pandapipes/component_models/__init__.py @@ -5,6 +5,7 @@ from pandapipes.component_models.junction_component import * from pandapipes.component_models.pipe_component import * from pandapipes.component_models.valve_component import * +from pandapipes.component_models.dynamic_valve_component import * from pandapipes.component_models.ext_grid_component import * from pandapipes.component_models.sink_component import * from pandapipes.component_models.source_component import * diff --git a/pandapipes/component_models/abstract_models/branch_models.py b/pandapipes/component_models/abstract_models/branch_models.py index fc047f27..0a2fd3b7 100644 --- a/pandapipes/component_models/abstract_models/branch_models.py +++ b/pandapipes/component_models/abstract_models/branch_models.py @@ -129,7 +129,7 @@ def calculate_derivatives_thermal(cls, net, branch_pit, node_pit, idx_lookups, o transient = get_net_option(net, "transient") - tvor = branch_pit[:, T_OUT_OLD] + tvor = branch_component_pit[:, T_OUT_OLD] delta_t = get_net_option(net, "dt") diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py new file mode 100644 index 00000000..4a150995 --- /dev/null +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -0,0 +1,191 @@ +# Copyright (c) 2020-2022 by Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel, and University of Kassel. All rights reserved. +# Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. + +import numpy as np +from numpy import dtype +from operator import itemgetter + +from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ + BranchWZeroLengthComponent +from pandapipes.component_models.junction_component import Junction +from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, NODE_TYPE, P, ACTIVE as ACTIVE_ND, LOAD +from pandapipes.idx_branch import D, AREA, TL, KV, ACTUAL_POS, STD_TYPE, R_TD, FROM_NODE, TO_NODE, \ + VINIT, RHO, PL, LOSS_COEFFICIENT as LC, DESIRED_MV, ACTIVE +from pandapipes.pf.result_extraction import extract_branch_results_without_internals +from pandapipes.properties.fluids import get_fluid + + +class DynamicValve(BranchWZeroLengthComponent): + """ + Dynamic Valves are branch elements that can separate two junctions. + They have a length of 0, but can introduce a lumped pressure loss. + The equation is based on the standard valve dynamics: q = Kv(h) * sqrt(Delta_P). + """ + fcts = None + + @classmethod + def set_function(cls, net): + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) + cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + @classmethod + def from_to_node_cols(cls): + return "from_junction", "to_junction" + + @classmethod + def table_name(cls): + return "dynamic_valve" + + @classmethod + def active_identifier(cls): + return "in_service" + + @classmethod + def get_connected_node_type(cls): + return Junction + + @classmethod + def create_pit_branch_entries(cls, net, branch_pit): + """ + Function which creates pit branch entries with a specific table. + + :param net: The pandapipes network + :type net: pandapipesNet + :param branch_pit: + :type branch_pit: + :return: No Output. + """ + valve_grids = net[cls.table_name()] + valve_pit = super().create_pit_branch_entries(net, branch_pit) + valve_pit[:, D] = net[cls.table_name()].diameter_m.values + valve_pit[:, AREA] = valve_pit[:, D] ** 2 * np.pi / 4 + valve_pit[:, KV] = net[cls.table_name()].Kv.values + valve_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values + valve_pit[:, R_TD] = net[cls.table_name()].r_td.values + + # Update in_service status if valve actual position becomes 0% + if valve_pit[:, ACTUAL_POS] > 0: + valve_pit[:, ACTIVE] = True + else: + valve_pit[:, ACTIVE] = False + + # TODO: is this std_types necessary here when we have already set the look up function? + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + valve_pit[pos, STD_TYPE] = std_type + + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + # calculation of valve flow via + + # we need to know which element is fixed, i.e Dynamic_Valve P_out, Dynamic_Valve P_in, Dynamic_Valve Flow_rate + f, t = idx_lookups[cls.table_name()] + valve_pit = branch_pit[f:t, :] + area = valve_pit[:, AREA] + #idx = valve_pit[:, STD_TYPE].astype(int) + #std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[idx] + from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) + to_nodes = valve_pit[:, TO_NODE].astype(np.int32) + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + + # look up travel (TODO: maybe a quick check if travel has changed instead of calling poly function each cycle? + #fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) + #fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + lift = np.divide(valve_pit[:, ACTUAL_POS], 100) + relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) + + kv_at_travel = relative_flow * valve_pit[:, KV] # m3/h.Bar + delta_p = p_from - p_to # bar + q_m3_h = kv_at_travel * np.sqrt(delta_p) + q_m3_s = np.divide(q_m3_h, 3600) + v_mps = np.divide(q_m3_s, area) + #v_mps = valve_pit[:, VINIT] + rho = valve_pit[:, RHO] + #rho = 1004 + zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) + valve_pit[:, LC] = zeta + #node_pit[:, LOAD] = q_m3_s * RHO # mdot_kg_per_s # we can not change the velocity nor load here!! + #valve_pit[:, VINIT] = v_mps + + @classmethod + def calculate_temperature_lift(cls, net, valve_pit, node_pit): + """ + + :param net: + :type net: + :param valve_pit: + :type valve_pit: + :param node_pit: + :type node_pit: + :return: + :rtype: + """ + valve_pit[:, TL] = 0 + + @classmethod + def get_component_input(cls): + """ + + :return: + :rtype: + """ + return [("name", dtype(object)), + ("from_junction", "i8"), + ("to_junction", "i8"), + ("diameter_m", "f8"), + ("actual_pos", "f8"), + ("std_type", dtype(object)), + ("Kv", "f8"), + ("r_td", "f8"), + ("type", dtype(object))] + + @classmethod + def extract_results(cls, net, options, branch_results, nodes_connected, branches_connected): + required_results = [ + ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), + ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), + ("vdot_norm_m3_per_s", "vf"), ("lambda", "lambda"), ("reynolds", "reynolds"), ("desired_mv", "desired_mv"), + ("actual_pos", "actual_pos") + ] + + if get_fluid(net).is_gas: + required_results.extend([ + ("v_from_m_per_s", "v_gas_from"), ("v_to_m_per_s", "v_gas_to"), + ("v_mean_m_per_s", "v_gas_mean"), ("normfactor_from", "normfactor_from"), + ("normfactor_to", "normfactor_to") + ]) + else: + required_results.extend([("v_mean_m_per_s", "v_mps")]) + + extract_branch_results_without_internals(net, branch_results, required_results, + cls.table_name(), branches_connected) + + @classmethod + def get_result_table(cls, net): + """ + + :param net: The pandapipes network + :type net: pandapipesNet + :return: (columns, all_float) - the column names and whether they are all float type. Only + if False, returns columns as tuples also specifying the dtypes + :rtype: (list, bool) + """ + if get_fluid(net).is_gas: + output = ["v_from_m_per_s", "v_to_m_per_s", "v_mean_m_per_s", "p_from_bar", "p_to_bar", + "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", + "vdot_norm_m3_per_s", "reynolds", "lambda", "normfactor_from", + "normfactor_to", "desired_mv", "actual_pos"] + else: + output = ["v_mean_m_per_s", "p_from_bar", "p_to_bar", "t_from_k", "t_to_k", + "mdot_from_kg_per_s", "mdot_to_kg_per_s", "vdot_norm_m3_per_s", "reynolds", + "lambda", "desired_mv", "actual_pos"] + return output, True diff --git a/pandapipes/component_models/junction_component.py b/pandapipes/component_models/junction_component.py index d5125092..4299daec 100644 --- a/pandapipes/component_models/junction_component.py +++ b/pandapipes/component_models/junction_component.py @@ -113,7 +113,7 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches # output, all_float = cls.get_result_table(net) if "res_internal" not in net: net["res_internal"] = pd.DataFrame( - np.NAN, columns=["t_k"], index=np.arange(len(net["_active_pit"]["node"][:, 8])), + np.NAN, columns=["t_k"], index=np.arange(len(net["_active_pit"]["node"][:, TINIT])), dtype=np.float64 ) net["res_internal"]["t_k"] = net["_active_pit"]["node"][:, TINIT] diff --git a/pandapipes/component_models/pump_component.py b/pandapipes/component_models/pump_component.py index 4c7f9c13..7bd69ea8 100644 --- a/pandapipes/component_models/pump_component.py +++ b/pandapipes/component_models/pump_component.py @@ -10,9 +10,9 @@ from pandapipes.component_models.junction_component import Junction from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ BranchWZeroLengthComponent -from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION +from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, TL, LOSS_COEFFICIENT as LC, FROM_NODE, \ - TINIT, PL + TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.pipeflow_setup import get_fluid, get_net_option, get_lookup from pandapipes.pf.result_extraction import extract_branch_results_without_internals @@ -30,6 +30,17 @@ class Pump(BranchWZeroLengthComponent): """ + fcts = None # Sets the std_type_class for lookup function + + @classmethod + def set_function(cls, net, type): + std_types_lookup = np.array(list(net.std_types[type].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types[type].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types'][type]) + cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + @classmethod def from_to_node_cols(cls): return "from_junction", "to_junction" @@ -65,6 +76,8 @@ def create_pit_branch_entries(cls, net, branch_pit): pump_pit[:, D] = 0.1 pump_pit[:, AREA] = pump_pit[:, D] ** 2 * np.pi / 4 pump_pit[:, LC] = 0 + pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): @@ -72,13 +85,13 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo f, t = idx_lookups[cls.table_name()] pump_pit = branch_pit[f:t, :] area = pump_pit[:, AREA] - idx = pump_pit[:, STD_TYPE].astype(int) - std_types = np.array(list(net.std_types['pump'].keys()))[idx] + #idx = pump_pit[:, STD_TYPE].astype(int) + #std_types = np.array(list(net.std_types['pump'].keys()))[idx] from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) - # to_nodes = pump_pit[:, TO_NODE].astype(np.int32) + ## to_nodes = pump_pit[:, TO_NODE].astype(np.int32) fluid = get_fluid(net) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - # p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + ## p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] v_mps = pump_pit[:, VINIT] if fluid.is_gas: @@ -89,9 +102,15 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo else: v_mean = v_mps vol = v_mean * area - fcts = itemgetter(*std_types)(net['std_types']['pump']) - fcts = [fcts] if not isinstance(fcts, tuple) else fcts - pl = np.array(list(map(lambda x, y: x.get_pressure(y), fcts, vol))) + # no longer required as function preset on class initialisation + #fcts = itemgetter(*std_types)(net['std_types']['pump']) + #fcts = [fcts] if not isinstance(fcts, tuple) else fcts + if net[cls.table_name()]['type'].values == 'pump': + pl = np.array(list(map(lambda x, y: x.get_pressure(y), cls.fcts, vol))) + else: # type is dynamic pump + speed = pump_pit[:, ACTUAL_POS] + hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), cls.fcts, vol, speed))) + pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar pump_pit[:, PL] = pl @classmethod diff --git a/pandapipes/create.py b/pandapipes/create.py index c7cefe5c..c17b7340 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -6,7 +6,7 @@ import pandas as pd from pandapipes.component_models import Junction, Sink, Source, Pump, Pipe, ExtGrid, \ - HeatExchanger, Valve, CirculationPumpPressure, CirculationPumpMass, PressureControlComponent, \ + HeatExchanger, Valve, DynamicValve, CirculationPumpPressure, CirculationPumpMass, PressureControlComponent, \ Compressor from pandapipes.component_models.component_toolbox import add_new_component from pandapipes.pandapipes_net import pandapipesNet, get_basic_net_entries, add_default_components @@ -504,8 +504,64 @@ def create_valve(net, from_junction, to_junction, diameter_m, opened=True, loss_ return index +def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, Kv, r_td= 25.0, + actual_pos=10.00, desired_mv= None, in_service=True, name=None, index=None, + type='i', **kwargs): + """ + Creates a valve element in net["valve"] from valve parameters. + + :param net: The net for which this valve should be created + :type net: pandapipesNet + :param from_junction: ID of the junction on one side which the valve will be connected with + :type from_junction: int + :param to_junction: ID of the junction on the other side which the valve will be connected with + :type to_junction: int + :param diameter_m: The valve diameter in [m] + :type diameter_m: float + :param Kv: Max Dynamic_Valve coefficient in terms of water flow (m3/h.bar) at a constant pressure drop of 1 Bar + :type Kv: float + :param actual_pos: Dynamic_Valve opened percentage, provides the initial valve status + :type actual_pos: float, default 10.0 % + :param std_type: There are currently three different std_types. This std_types are Kv1, Kv2, Kv3.\ + Each of them describes a specific valve flow characteristics related to equal, linear and quick opening + valves. + :type std_type: string, default None + :param name: A name tag for this valve + :type name: str, default None + :param index: Force a specified ID if it is available. If None, the index one higher than the\ + highest already existing index is selected. + :type index: int, default None + :param type: An identifier for special types + :type type: str, default None + :param in_service: True for in_service or False for out of service + :type in_service: bool, default True + :param kwargs: Additional keyword arguments will be added as further columns to the\ + net["valve"] table + :return: index - The unique ID of the created element + :rtype: int + + :Example: + >>> create_valve(net, 0, 1, diameter_m=4e-3, name="valve1", Kv= 5, r_td= 25.0, actual_pos=44.44, type= "fo") + + """ + add_new_component(net, DynamicValve) + + index = _get_index_with_check(net, "dynamic_valve", index) + check_branch(net, "DynamicValve", index, from_junction, to_junction) + + _check_std_type(net, std_type, "dynamic_valve", "create_dynamic_valve") + v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, + "diameter_m": diameter_m, "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv": Kv, "r_td": r_td, "std_type": std_type, + "type": type, "in_service": in_service} + _set_entries(net, "dynamic_valve", index, **v, **kwargs) + + DynamicValve.set_function(net) + + return index + + def create_pump(net, from_junction, to_junction, std_type, name=None, index=None, in_service=True, - type="pump", **kwargs): + actual_pos=70.00, desired_mv=None, type="pump", **kwargs): """ Adds one pump in table net["pump"]. @@ -536,6 +592,8 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None EXAMPLE: >>> create_pump(net, 0, 1, std_type="P1") + >>> create_pump(net, from_junction=junction0, to_junction=junction1, std_type= "CRE_36_AAAEHQQE_Pump_curves", + type="dynamic_pump") """ add_new_component(net, Pump) @@ -543,11 +601,14 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None index = _get_index_with_check(net, "pump", index) check_branch(net, "Pump", index, from_junction, to_junction) - _check_std_type(net, std_type, "pump", "create_pump") + _check_std_type(net, std_type, type, "create_pump") v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, - "std_type": std_type, "in_service": bool(in_service), "type": type} + "std_type": std_type, "in_service": bool(in_service), "type": type, "actual_pos": actual_pos, + "desired_mv": desired_mv,} _set_entries(net, "pump", index, **v, **kwargs) + Pump.set_function(net, type) + return index diff --git a/files/Temperature.csv b/pandapipes/files/Temperature.csv similarity index 100% rename from files/Temperature.csv rename to pandapipes/files/Temperature.csv diff --git a/files/heat_flow_source_timesteps.csv b/pandapipes/files/heat_flow_source_timesteps.csv similarity index 100% rename from files/heat_flow_source_timesteps.csv rename to pandapipes/files/heat_flow_source_timesteps.csv diff --git a/pandapipes/files/tee_junction_timeseries_ext_grid.csv b/pandapipes/files/tee_junction_timeseries_ext_grid.csv new file mode 100644 index 00000000..c0301d95 --- /dev/null +++ b/pandapipes/files/tee_junction_timeseries_ext_grid.csv @@ -0,0 +1,11 @@ +,0 +0,330 +1,330 +2,330 +3,330 +4,330 +5,330 +6,330 +7,330 +8,330 +9,330 \ No newline at end of file diff --git a/pandapipes/files/tee_junction_timeseries_sinks.csv b/pandapipes/files/tee_junction_timeseries_sinks.csv new file mode 100644 index 00000000..83a0c6ed --- /dev/null +++ b/pandapipes/files/tee_junction_timeseries_sinks.csv @@ -0,0 +1,11 @@ +,0,1 +0,2,2 +1,2,2 +2,2,2 +3,2,2 +4,2,2 +5,2,2 +6,2,2 +7,2,2 +8,2,2 +9,2,2 \ No newline at end of file diff --git a/pandapipes/idx_branch.py b/pandapipes/idx_branch.py index 138f3446..fbef3d37 100644 --- a/pandapipes/idx_branch.py +++ b/pandapipes/idx_branch.py @@ -17,12 +17,12 @@ VINIT = 12 # velocity in [m/s] RE = 13 # Reynolds number LAMBDA = 14 # Lambda -JAC_DERIV_DV = 15 # Slot for the derivative by velocity -JAC_DERIV_DP = 16 # Slot for the derivative by pressure from_node -JAC_DERIV_DP1 = 17 # Slot for the derivative by pressure to_node -LOAD_VEC_BRANCHES = 18 # Slot for the load vector for the branches -JAC_DERIV_DV_NODE = 19 # Slot for the derivative by velocity for the nodes connected to branch -LOAD_VEC_NODES = 20 # Slot for the load vector of the nodes connected to branch +JAC_DERIV_DV = 15 # Slot for the derivative by velocity # df_dv +JAC_DERIV_DP = 16 # Slot for the derivative by pressure from_node # df_dp +JAC_DERIV_DP1 = 17 # Slot for the derivative by pressure to_node # df_dp1 +LOAD_VEC_BRANCHES = 18 # Slot for the load vector for the branches : pressure difference between nodes (Bar) #load_vec +JAC_DERIV_DV_NODE = 19 # Slot for the derivative by velocity for the nodes connected to branch #df_dv_nodes +LOAD_VEC_NODES = 20 # Slot for the load vector of the nodes connected to branch : mass_flow (kg_s) # load_vec_nodes LOSS_COEFFICIENT = 21 CP = 22 # Slot for fluid heat capacity values ALPHA = 23 # Slot for heat transfer coefficient @@ -38,10 +38,13 @@ QEXT = 33 # heat input in [W] TEXT = 34 STD_TYPE = 35 -PL = 36 +PL = 36 # Pressure lift.?? TL = 37 # Temperature lift [K] BRANCH_TYPE = 38 # branch type relevant for the pressure controller PRESSURE_RATIO = 39 # boost ratio for compressors with proportional pressure lift T_OUT_OLD = 40 - -branch_cols = 41 +KV= 41 # dynamic valve flow characteristics +DESIRED_MV= 42 # Final Control Element (FCE) Desired Manipulated Value percentage opened +ACTUAL_POS= 43 # Final Control Element (FCE) Actual Position Value percentage opened +R_TD= 44 # Dynamic valve ratio-turndown +branch_cols = 45 \ No newline at end of file diff --git a/pandapipes/idx_node.py b/pandapipes/idx_node.py index 0e9df9ac..82086430 100644 --- a/pandapipes/idx_node.py +++ b/pandapipes/idx_node.py @@ -16,7 +16,7 @@ ACTIVE = 3 RHO = 4 # Density in [kg/m^3] PINIT = 5 -LOAD = 6 +LOAD = 6 # sink load: mdot_kg_per_s HEIGHT = 7 TINIT = 8 PAMB = 9 # Ambient pressure in [bar] diff --git a/pandapipes/pf/derivative_calculation.py b/pandapipes/pf/derivative_calculation.py index 741eb6fb..e154f1a3 100644 --- a/pandapipes/pf/derivative_calculation.py +++ b/pandapipes/pf/derivative_calculation.py @@ -23,7 +23,7 @@ def calculate_derivatives_hydraulic(net, branch_pit, node_pit, options): fluid = get_fluid(net) gas_mode = fluid.is_gas friction_model = options["friction_model"] - + # Darcy Friction factor: lambda lambda_, re = calc_lambda( branch_pit[:, VINIT], branch_pit[:, ETA], branch_pit[:, RHO], branch_pit[:, D], branch_pit[:, K], gas_mode, friction_model, branch_pit[:, LENGTH], options) @@ -134,7 +134,7 @@ def calc_lambda(v, eta, rho, d, k, gas_mode, friction_model, lengths, options): "argument to the pipeflow.") return lambda_colebrook, re elif friction_model == "swamee-jain": - lambda_swamee_jain = 0.25 / ((np.log10(k/(3.7*d) + 5.74/(re**0.9)))**2) + lambda_swamee_jain = 1.325 / ((np.log10(k/(3.7*d) + 5.74/(re**0.9)))**2) return lambda_swamee_jain, re else: # lambda_tot = np.where(re > 2300, lambda_laminar + lambda_nikuradse, lambda_laminar) diff --git a/pandapipes/pf/derivative_toolbox.py b/pandapipes/pf/derivative_toolbox.py index 1dc93d71..c0f80782 100644 --- a/pandapipes/pf/derivative_toolbox.py +++ b/pandapipes/pf/derivative_toolbox.py @@ -23,10 +23,10 @@ def derivatives_hydraulic_incomp_np(branch_pit, der_lambda, p_init_i_abs, p_init * np.divide(branch_pit[:, LENGTH], branch_pit[:, D]) * v_init2) load_vec = p_init_i_abs - p_init_i1_abs + branch_pit[:, PL] \ + const_p_term * (GRAVITATION_CONSTANT * 2 * height_difference - - v_init2 * lambda_term) - mass_flow_dv = branch_pit[:, RHO] * branch_pit[:, AREA] - df_dv_nodes = mass_flow_dv - load_vec_nodes = mass_flow_dv * branch_pit[:, VINIT] + - v_init2 * lambda_term) # pressure difference between nodes (Bar) + mass_flow_dv = branch_pit[:, RHO] * branch_pit[:, AREA] # (kg/m3)*(m2) + df_dv_nodes = mass_flow_dv # kg/m + load_vec_nodes = mass_flow_dv * branch_pit[:, VINIT] # mass_flow (kg_s) df_dp = np.ones_like(der_lambda) * (-1) df_dp1 = np.ones_like(der_lambda) return load_vec, load_vec_nodes, df_dv, df_dv_nodes, df_dp, df_dp1 diff --git a/pandapipes/pf/pipeflow_setup.py b/pandapipes/pf/pipeflow_setup.py index b4f487e8..2ac5a118 100644 --- a/pandapipes/pf/pipeflow_setup.py +++ b/pandapipes/pf/pipeflow_setup.py @@ -285,7 +285,7 @@ def init_options(net, local_parameters): if "user_pf_options" in net and len(net.user_pf_options) > 0: net["_options"].update(net.user_pf_options) - # the last layer is the layer of passeed parameters by the user, it is defined as the local + # the last layer is the layer of passed parameters by the user, it is defined as the local # existing parameters during the pipeflow call which diverges from the default parameters of the # function definition in the second layer params = dict() diff --git a/pandapipes/pf/result_extraction.py b/pandapipes/pf/result_extraction.py index c453c9f5..ac6abb1f 100644 --- a/pandapipes/pf/result_extraction.py +++ b/pandapipes/pf/result_extraction.py @@ -2,7 +2,7 @@ from pandapipes.constants import NORMAL_PRESSURE, NORMAL_TEMPERATURE from pandapipes.idx_branch import ELEMENT_IDX, FROM_NODE, TO_NODE, LOAD_VEC_NODES, VINIT, RE, \ - LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL + LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL, DESIRED_MV, ACTUAL_POS from pandapipes.idx_node import TABLE_IDX as TABLE_IDX_NODE, PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.internals_toolbox import _sum_by_group from pandapipes.pf.pipeflow_setup import get_table_number, get_lookup, get_net_option @@ -26,12 +26,12 @@ def extract_all_results(net, nodes_connected, branches_connected): """ branch_pit = net["_pit"]["branch"] node_pit = net["_pit"]["node"] - v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl = \ - get_basic_branch_results(net, branch_pit, node_pit) + v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl, desired_mv, \ + actual_pos = get_basic_branch_results(net, branch_pit, node_pit) branch_results = {"v_mps": v_mps, "mf_from": mf, "mf_to": -mf, "vf": vf, "p_from": p_from, "p_to": p_to, "from_nodes": from_nodes, "to_nodes": to_nodes, "temp_from": temp_from, "temp_to": temp_to, "reynolds": reynolds, - "lambda": _lambda, "pl": pl} + "lambda": _lambda, "pl": pl, "actual_pos": actual_pos, "desired_mv": desired_mv} if get_fluid(net).is_gas: if get_net_option(net, "use_numba"): v_gas_from, v_gas_to, v_gas_mean, p_abs_from, p_abs_to, p_abs_mean, normfactor_from, \ @@ -63,7 +63,7 @@ def get_basic_branch_results(net, branch_pit, node_pit): vf = mf / get_fluid(net).get_density((t0 + t1) / 2) return branch_pit[:, VINIT], mf, vf, from_nodes, to_nodes, t0, t1, branch_pit[:, RE], \ branch_pit[:, LAMBDA], node_pit[from_nodes, PINIT], node_pit[to_nodes, PINIT], \ - branch_pit[:, PL] + branch_pit[:, PL], branch_pit[:, DESIRED_MV], branch_pit[:, ACTUAL_POS] def get_branch_results_gas(net, branch_pit, node_pit, from_nodes, to_nodes, v_mps, p_from, p_to): diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 7247efc0..72edc0e2 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -89,7 +89,7 @@ def pipeflow(net, sol_vec=None, **kwargs): calculate_heat = calculation_mode in ["heat", "all"] # TODO: This is not necessary in every time step, but we need the result! The result of the - # connectivity check is curnetly not saved anywhere! + # connectivity check is currently not saved anywhere! if get_net_option(net, "check_connectivity"): nodes_connected, branches_connected = check_connectivity( net, branch_pit, node_pit, check_heat=calculate_heat) @@ -142,6 +142,19 @@ def hydraulics(net): error_v, error_p, residual_norm = [], [], None # This loop is left as soon as the solver converged + # Assumes this loop is the Newton-Raphson iteration loop + # 1: ODE -> integrate to get function y(0) + # 2: Build Jacobian matrix df1/dx1, df1/dx2 etc. (this means take derivative of each variable x1,x2,x3...) + # 3: Consider initial guess for x1,x2,x3,... this is a vector x(0) = [x1,x2,x3,x4,] + # 4: Compute value of Jacobian at these guesses x(0) above + # 5: Take inverse of Jacobian (not always able to thus LU decomposition, spsolve...) + # 6: Evaluate function from step 1 at the initial guesses from step 3 + # 7 The first iteration is the: initial_guess_vector - Jacobian@initial_guess * function vector@initial_guess + # x(1) = x(0) - J^-1(x(0) *F(0) + # The repeat from step 3 again until error convergence + # x(2) = x(1) - J^-1(x(1) *F(1) + # note: Jacobian equations don't change, just the X values subbed in at each iteration which + # makes the jacobian different while not get_net_option(net, "converged") and niter <= max_iter: logger.debug("niter %d" % niter) @@ -214,7 +227,7 @@ def heat_transfer(net): error_t_out.append(linalg.norm(delta_t_out) / (len(delta_t_out))) finalize_iteration(net, niter, error_t, error_t_out, residual_norm, nonlinear_method, tol_t, - tol_t, tol_res, t_init_old, t_out_old, hyraulic_mode=True) + tol_t, tol_res, t_init_old, t_out_old, hydraulic_mode=True) logger.debug("F: %s" % epsilon.round(4)) logger.debug("T_init_: %s" % t_init.round(4)) logger.debug("T_out_: %s" % t_out.round(4)) @@ -227,7 +240,7 @@ def heat_transfer(net): converged = get_net_option(net, "converged") net['converged'] = converged - log_final_results(net, converged, niter, residual_norm, hyraulic_mode=False) + log_final_results(net, converged, niter, residual_norm, hydraulic_mode=False) return converged, niter @@ -342,8 +355,8 @@ def set_damping_factor(net, niter, error): def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_method, tol_1, tol_2, - tol_res, vals_1_old, vals_2_old, hyraulic_mode=True): - col1, col2 = (PINIT, VINIT) if hyraulic_mode else (TINIT, T_OUT) + tol_res, vals_1_old, vals_2_old, hydraulic_mode=True): + col1, col2 = (PINIT, VINIT) if hydraulic_mode else (TINIT, T_OUT) # Control of damping factor if nonlinear_method == "automatic": @@ -363,7 +376,7 @@ def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_me elif get_net_option(net, "alpha") == 1: set_net_option(net, "converged", True) - if hyraulic_mode: + if hydraulic_mode: logger.debug("errorv: %s" % error_1[niter]) logger.debug("errorp: %s" % error_2[niter]) logger.debug("alpha: %s" % get_net_option(net, "alpha")) @@ -372,8 +385,8 @@ def finalize_iteration(net, niter, error_1, error_2, residual_norm, nonlinear_me logger.debug("alpha: %s" % get_net_option(net, "alpha")) -def log_final_results(net, converged, niter, residual_norm, hyraulic_mode=True): - if hyraulic_mode: +def log_final_results(net, converged, niter, residual_norm, hydraulic_mode=True): + if hydraulic_mode: solver = "hydraulics" outputs = ["tol_p", "tol_v"] else: diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv new file mode 100644 index 00000000..f55dcf53 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv @@ -0,0 +1,8 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;49.95;0.1;100;2 +0.593;48.41;25.1; +1.467;46.28;44.1; +2.391;42.99;53.8; +3.084;39.13;56.8; +4.189;29.66;53.8; +4.99;20;43.4; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv new file mode 100644 index 00000000..f45883cc --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001; 11.88; 0.1; 49.0; 2 +0.492; 10.92; 36.3; +0.73; 10.72; 44.8; +1.12; 9.949; 53.4; +1.698; 8.21; 56.9; +2.391; 4.731; 43.9; diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv new file mode 100644 index 00000000..5853662a --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;24.44;0.1;70;2 +0.687;23.28;35.3; +1.286;22.51;48.7; +1.987;20.19;56.1; +2.889;14.97;54.4; +3.488;9.949;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv new file mode 100644 index 00000000..4bfe9754 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv @@ -0,0 +1,8 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.001;40.1;0.1;90;2 +0.586;38.74;26.9; +1.293;37.2;43.8; +2.29;33.91;54.8; +3.084;29.27;57; +3.835;22.7;52.9; +4.434;16.13;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv new file mode 100644 index 00000000..5aea5798 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv @@ -0,0 +1,12 @@ +relative_flow;relative_travel;degree +0;0;0 +0.027273;0.222222; +0.081818;0.333333; +0.190909;0.444444; +0.354545;0.555556; +0.590909;0.666667; +0.845455;0.777778; +0.954545;0.888889; +1.000000;1.000000; + + diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv new file mode 100644 index 00000000..9e1ee1ba --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv @@ -0,0 +1,13 @@ +relative_flow;relative_travel;degree +0.019132653; 0; 3 +0.020663265; 0.05; +0.025255102; 0.1; +0.051020408; 0.2; +0.109693878; 0.3; +0.206632653; 0.4; +0.339285714; 0.5; +0.494897959; 0.6; +0.645408163; 0.7; +0.783163265; 0.8; +0.895408163; 0.9; +1; 1; diff --git a/pandapipes/std_types/library/Dynamic_Valve/linear.csv b/pandapipes/std_types/library/Dynamic_Valve/linear.csv new file mode 100644 index 00000000..5fb32481 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/linear.csv @@ -0,0 +1,10 @@ +relative_flow;relative_travel;degree +0; 0; 1 +0.2; 0.2; +0.3; 0.3; +0.4; 0.4; +0.5; 0.5; +0.6; 0.6; +0.7; 0.7; +0.9; 0.9; +1.0; 1.0; \ No newline at end of file diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py index 39d0e634..fa565f1d 100644 --- a/pandapipes/std_types/std_type_class.py +++ b/pandapipes/std_types/std_type_class.py @@ -7,7 +7,8 @@ import numpy as np from pandapipes import logger from pandapower.io_utils import JSONSerializableClass - +from scipy.interpolate import interp2d +import plotly.graph_objects as go class StdType(JSONSerializableClass): """ @@ -112,6 +113,203 @@ def from_list(cls, name, p_values, v_values, degree): return pump_st +class DynPumpStdType(StdType): + + def __init__(self, name, interp2d_fct): + """ + + :param name: Name of the pump object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a pump object + :type reg_par: List of floats + """ + super(DynPumpStdType, self).__init__(name, 'dynamic_pump') + self.interp2d_fct = interp2d_fct + self._head_list = None + self._flowrate_list = None + self._speed_list = None + self._efficiency = None + self._individual_curves = None + self._reg_polynomial_degree = 2 + + def get_m_head(self, vdot_m3_per_s, speed): + """ + Calculate the head (m) lift based on 2D linear interpolation function. + + It is ensured that the head (m) lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param vdot_m3_per_s: Volume flow rate of a fluid in [m^3/s]. Abs() will be applied. + :type vdot_m3_per_s: float + :return: This function returns the corresponding pressure to the given volume flow rate \ + in [bar] + :rtype: float + """ + # no reverse flow - for vdot < 0, assume bypassing + if vdot_m3_per_s < 0: + logger.debug("Reverse flow observed in a %s pump. " + "Bypassing without pressure change is assumed" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + m_head = self.interp2d_fct((vdot_m3_per_s / 1 * 3600), speed) + return m_head + + def plot_pump_curve(self): + + fig = go.Figure(go.Surface( + contours={ + "x": {"show": True, "start": 1.5, "end": 2, "size": 0.04, "color": "white"}, + "z": {"show": True, "start": 0.5, "end": 0.8, "size": 0.05} + }, + x=self._flowrate_list, + y=self._speed_list, + z=self._head_list)) + fig.update_xaxes = 'flow' + fig.update_yaxes = 'speed' + fig.update_layout(scene=dict( + xaxis_title='x: Flow (m3/h)', + yaxis_title='y: Speed (%)', + zaxis_title='z: Head (m)'), + title='Pump Curve', autosize=False, + width=1000, height=1000, + ) + #fig.show() + + return fig #self._flowrate_list, self._speed_list, self._head_list + + + @classmethod + def from_folder(cls, name, dyn_path): + pump_st = None + individual_curves = {} + # Compile dictionary of dataframes from file path + x_flow_max = 0 + speed_list = [] + + for file_name in os.listdir(dyn_path): + key_name = file_name[0:file_name.find('.')] + individual_curves[key_name] = get_data(os.path.join(dyn_path, file_name), 'dyn_pump') + speed_list.append(individual_curves[key_name].speed_pct[0]) + + if max(individual_curves[key_name].Vdot_m3ph) > x_flow_max: + x_flow_max = max(individual_curves[key_name].Vdot_m3ph) + + if individual_curves: + flow_list = np.linspace(0, x_flow_max, 10) + head_list = np.zeros([len(speed_list), len(flow_list)]) + + for idx, key in enumerate(individual_curves): + # create individual poly equations for each curve and append to (z)_head_list + reg_par = np.polyfit(individual_curves[key].Vdot_m3ph.values, individual_curves[key].Head_m.values, + individual_curves[key].degree.values[0]) + n = np.arange(len(reg_par), 0, -1) + head_list[idx::] = [max(0, sum(reg_par * x ** (n - 1))) for x in flow_list] + + # Sorting the speed and head list results: + head_list_sorted = np.zeros([len(speed_list), len(flow_list)]) + speed_sorted = sorted(speed_list) + for idx_s, val_s in enumerate(speed_sorted): + for idx_us, val_us in enumerate(speed_list): + if val_s == val_us: # find sorted value in unsorted list + head_list_sorted[idx_s, :] = head_list[idx_us, :] + + + # interpolate 2d function to determine head (m) from specified flow and speed variables + interp2d_fct = interp2d(flow_list, speed_list, head_list, kind='cubic', fill_value='0') + + pump_st = cls(name, interp2d_fct) + pump_st._flowrate_list = flow_list + pump_st._speed_list = speed_sorted # speed_list + pump_st._head_list = head_list_sorted # head_list + pump_st._individual_curves = individual_curves + + return pump_st + + + + +class ValveStdType(StdType): + def __init__(self, name, reg_par): + """ + + :param name: Name of the dynamic valve object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a valve object + :type reg_par: List of floats + """ + super(ValveStdType, self).__init__(name, 'dynamic_valve') + self.reg_par = reg_par + self._relative_flow_list = None + self._relative_travel_list = None + self._reg_polynomial_degree = 2 + + def update_valve(self, travel_list, flow_list, reg_polynomial_degree): + reg_par = regression_function(travel_list, flow_list, reg_polynomial_degree) + self.reg_par = reg_par + self._relative_travel_list = travel_list + self._relative_flow_list = flow_list + self._reg_polynomial_degree = reg_polynomial_degree + + def get_relative_flow(self, relative_travel): + """ + Calculate the pressure lift based on a polynomial from a regression. + + It is ensured that the pressure lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param relative_travel: Relative valve travel (opening). + :type relative_travel: float + :return: This function returns the corresponding relative flow coefficient to the given valve travel + :rtype: float + """ + if self._reg_polynomial_degree == 0: + # Compute linear interpolation + f = linear_interpolation(relative_travel, self._relative_travel_list, self._relative_flow_list) + return f + + else: + n = np.arange(len(self.reg_par), 0, -1) + if relative_travel < 0: + logger.debug("Issue with dynamic valve travel dimensions." + "Issue here" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + f = max(0, sum(self.reg_par * relative_travel ** (n - 1))) + + return f + + @classmethod + def from_path(cls, name, path): + """ + + :param name: Name of the valve object + :type name: str + :param path: Path where the CSV file, defining a valve object, is stored + :type path: str + :return: An object of the valve standard type class + :rtype: ValveStdType + """ + f_values, h_values, degree = get_f_h_values(path) + reg_par = regression_function(f_values, h_values, degree) + valve_st = cls(name, reg_par) + valve_st._relative_flow_list = f_values + valve_st._relative_travel_list = h_values + valve_st._reg_polynomial_degree = degree + return valve_st + + @classmethod + def from_list(cls, name, f_values, h_values, degree): + reg_par = regression_function(f_values, h_values, degree) + valve_st = cls(name, reg_par) + valve_st._relative_flow_list = f_values + valve_st._relative_travel_list = h_values + valve_st._reg_polynomial_degree = degree + return valve_st + def get_data(path, std_type_category): """ get_data. @@ -128,6 +326,13 @@ def get_data(path, std_type_category): data = pd.read_csv(path, sep=';', dtype=np.float64) elif std_type_category == 'pipe': data = pd.read_csv(path, sep=';', index_col=0).T + elif std_type_category == 'valve': + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + elif std_type_category == 'dyn_pump': + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + else: raise AttributeError('std_type_category %s not implemented yet' % std_type_category) return data @@ -147,6 +352,20 @@ def get_p_v_values(path): degree = data.values[0, 2] return p_values, v_values, degree +def get_f_h_values(path): + """ + + :param path: + :type path: + :return: + :rtype: + """ + data = get_data(path, 'valve') + f_values = data.values[:, 0] + h_values = data.values[:, 1] + degree = data.values[0, 2] + return f_values, h_values, degree + def regression_function(p_values, v_values, degree): """ @@ -167,3 +386,9 @@ def regression_function(p_values, v_values, degree): z = np.polyfit(v_values, p_values, degree) reg_par = z return reg_par + + +def linear_interpolation(x, xp, fp): + # provides linear interpolation of points + z = np.interp(x, xp, fp) + return z diff --git a/pandapipes/std_types/std_types.py b/pandapipes/std_types/std_types.py index 55862d31..8a6f08b1 100644 --- a/pandapipes/std_types/std_types.py +++ b/pandapipes/std_types/std_types.py @@ -8,7 +8,7 @@ import pandas as pd from pandapipes import pp_dir -from pandapipes.std_types.std_type_class import get_data, PumpStdType +from pandapipes.std_types.std_type_class import get_data, PumpStdType, ValveStdType, DynPumpStdType try: import pandaplan.core.pplog as logging @@ -39,10 +39,10 @@ def create_std_type(net, component, std_type_name, typedata, overwrite=False, ch if component == "pipe": required = ["inner_diameter_mm"] else: - if component in ["pump"]: + if component in ["pump", "dynamic_pump", "dynamic_valve"]: required = [] else: - raise ValueError("Unkown component type %s" % component) + raise ValueError("Unknown component type %s" % component) for par in required: if par not in typedata: raise UserWarning("%s is required as %s type parameter" % (par, component)) @@ -209,7 +209,7 @@ def change_std_type(net, cid, name, component): def create_pump_std_type(net, name, pump_object, overwrite=False): """ - Create a new pump stdandard type object and add it to the pump standard types in net. + Create a new pump standard type object and add it to the pump standard types in net. :param net: The pandapipes network to which the standard type is added. :type net: pandapipesNet @@ -228,6 +228,49 @@ def create_pump_std_type(net, name, pump_object, overwrite=False): create_std_type(net, "pump", name, pump_object, overwrite) +def create_dynamic_pump_std_type(net, name, pump_object, overwrite=False): + """ + Create a new pump standard type object and add it to the pump standard types in net. + + :param net: The pandapipes network to which the standard type is added. + :type net: pandapipesNet + :param name: name of the created standard type + :type name: str + :param pump_object: dynamic pump standard type object + :type pump_object: DynPumpStdType + :param overwrite: if True, overwrites the standard type if it already exists in the net + :type overwrite: bool, default False + :return: + :rtype: + """ + if not isinstance(pump_object, DynPumpStdType): + raise ValueError("dynamic pump needs to be of DynPumpStdType") + + create_std_type(net, "dynamic_pump", name, pump_object, overwrite) + + +def create_valve_std_type(net, name, valve_object, overwrite=False): + """ + Create a new valve inherent characteristic standard type object and add it to the valve standard + types in net. + + :param net: The pandapipes network to which the standard type is added. + :type net: pandapipesNet + :param name: name of the created standard type + :type name: str + :param valve_object: valve inherent characteristic type object + :type valve_object: ValveStdType + :param overwrite: if True, overwrites the standard type if it already exists in the net + :type overwrite: bool, default False + :return: + :rtype: + """ + if not isinstance(valve_object, ValveStdType): + raise ValueError("valve needs to be of ValveStdType") + + create_std_type(net, "dynamic_valve", name, valve_object, overwrite) + + def add_basic_std_types(net): """ @@ -236,12 +279,27 @@ def add_basic_std_types(net): """ pump_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Pump")) + dyn_valve_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Valve")) + dyn_pump_folder = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Pump")) + for pump_file in pump_files: pump_name = str(pump_file.split(".")[0]) pump = PumpStdType.from_path(pump_name, os.path.join(pp_dir, "std_types", "library", "Pump", pump_file)) create_pump_std_type(net, pump_name, pump, True) + for dyn_pump_name in dyn_pump_folder: + dyn_pump = DynPumpStdType.from_folder(dyn_pump_name, os.path.join(pp_dir, "std_types", "library", + "Dynamic_Pump", dyn_pump_name)) + if dyn_pump is not None: + create_dynamic_pump_std_type(net, dyn_pump_name, dyn_pump, True) + + for dyn_valve_file in dyn_valve_files: + dyn_valve_name = str(dyn_valve_file.split(".")[0]) + dyn_valve = ValveStdType.from_path(dyn_valve_name, os.path.join(pp_dir, "std_types", "library", + "Dynamic_Valve", dyn_valve_file)) + create_valve_std_type(net, dyn_valve_name, dyn_valve, True) + pipe_file = os.path.join(pp_dir, "std_types", "library", "Pipe.csv") data = get_data(pipe_file, "pipe").to_dict() create_std_types(net, "pipe", data, True) diff --git a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py index ce5e76cc..8a154cbf 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py +++ b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py @@ -79,7 +79,7 @@ def _output_writer(net, time_steps, ow_path=None): # read in csv files for control of sources/sinks -profiles_source = pd.read_csv(os.path.join('../../../../files', +profiles_source = pd.read_csv(os.path.join('pandapipes/files', 'heat_flow_source_timesteps.csv'), index_col=0) @@ -94,7 +94,7 @@ def _output_writer(net, time_steps, ow_path=None): dt = 5 time_steps = range(ds_source.df.shape[0]) ow = _output_writer(net, time_steps, ow_path=tempfile.gettempdir()) -run_timeseries(net, time_steps, mode="all",transient=transient_transfer, iter=30, dt=dt) +run_timeseries(net, time_steps, mode="all", transient=transient_transfer, iter=30, dt=dt) if transient_transfer: res_T = ow.np_results["res_internal.t_k"] @@ -134,6 +134,6 @@ def _output_writer(net, time_steps, ow_path=None): else: plt.legend(["Junction 0", "Junction 1"]) plt.grid() -plt.savefig("files/output/temperature_step_transient.png") +plt.savefig("files/output/one_pipe_temperature_step_transient.png") plt.show() plt.close() diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py index ad40f151..651a0990 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py +++ b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py @@ -22,7 +22,7 @@ def _save_single_xls_sheet(self, append): def _init_log_variable(self, net, table, variable, index=None, eval_function=None, eval_name=None): if table == "res_internal": - index = np.arange(len(net.junction) + net.pipe.sections.sum() - len(net.pipe)) + index = np.arange(net.pipe.sections.sum() + 1) return super()._init_log_variable(net, table, variable, index, eval_function, eval_name) @@ -53,7 +53,6 @@ def _output_writer(net, time_steps, ow_path=None): transient_transfer = True -service = True net = pp.create_empty_network(fluid="water") # create junctions @@ -71,39 +70,25 @@ def _output_writer(net, time_steps, ow_path=None): # create branch elements sections = 4 nodes = 4 -length = 0.1 -pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=.0472, sections=sections, - alpha_w_per_m2k=5, text_k=293.15) -pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=.0472, sections=sections, - alpha_w_per_m2k=5, text_k=293.15) -pp.create_pipe_from_parameters(net, j2, j4, length, 75e-3, k_mm=.0472, sections=sections, - alpha_w_per_m2k=5, text_k=293.15) - -''' -# read in csv files for control of sources/sinks - -profiles_source = pd.read_csv(os.path.join('files', - 'heat_flow_source_timesteps.csv'), - index_col=0) - -ds_source = DFData(profiles_source) - -const_source = control.ConstControl(net, element='ext_grid', variable='t_k', - element_index=net.ext_grid.index.values, - data_source=ds_source, - profile_name=net.ext_grid.index.values.astype(str), - in_service=service) - -time_steps = range(ds_source.df.shape[0]) -dt = 60 -''' +length = 1 +k_mm = 0.1 # 0.0472 + +pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=k_mm, sections=sections, + alpha_w_per_m2k=0, text_k=293.15) +pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=k_mm, sections=sections, + alpha_w_per_m2k=0, text_k=293.15) +pp.create_pipe_from_parameters(net, j2, j4, length, 75e-3, k_mm=k_mm, sections=sections, + alpha_w_per_m2k=0, text_k=293.15) + time_steps = range(100) +dt = 60 +iterations = 20 ow = _output_writer(net, time_steps, ow_path=tempfile.gettempdir()) -run_timeseries(net, time_steps, transient=transient_transfer, mode="all", dt=1) #, iter=20, dt=dt - +run_timeseries(net, time_steps, transient=transient_transfer, mode="all", dt=dt, + reuse_internal_data=True, iter=iterations) res_T = ow.np_results["res_internal.t_k"] -print(res_T) + pipe1 = np.zeros(((sections + 1), res_T.shape[0])) pipe2 = np.zeros(((sections + 1), res_T.shape[0])) pipe3 = np.zeros(((sections + 1), res_T.shape[0])) @@ -120,16 +105,15 @@ def _output_writer(net, time_steps, ow_path=None): pipe3[1:-1, :] = np.transpose( copy.deepcopy(res_T[:, nodes + (2 * (sections - 1)):nodes + (3 * (sections - 1))])) -datap1 = pd.read_csv(os.path.join('../../../files', 'Temperature.csv'), - sep=';', - header=1, nrows=5, keep_default_na=False) -datap2 = pd.read_csv(os.path.join('../../../files', 'Temperature.csv'), - sep=';', - header=8, nrows=5, keep_default_na=False) -datap3 = pd.read_csv(os.path.join('../../../files', 'Temperature.csv'), - sep=';', - header=15, nrows=5, keep_default_na=False) - +datap1 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), + sep=';', + header=1, nrows=5, keep_default_na=False) +datap2 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), + sep=';', + header=8, nrows=5, keep_default_na=False) +datap3 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), + sep=';', + header=15, nrows=5, keep_default_na=False) from IPython.display import clear_output @@ -149,25 +133,26 @@ def _output_writer(net, time_steps, ow_path=None): ax1.set_xlabel("Length coordinate [m]") ax2.set_xlabel("Length coordinate [m]") -line1, = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe1[:, 10], color="black", - marker="+", label ="Time step 10", linestyle="dashed") -line11, = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe1[:, 30], color="black", - linestyle="dotted", label ="Time step 30") -line12, = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe1[:, 90], color="black", - linestyle="dashdot", label ="Time step 90") +show_timesteps = [10, 30, 90] +line1, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[0]], color="black", + marker="+", label="Time step " + str(show_timesteps[0]), linestyle="dashed") +line11, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[1]], color="black", + linestyle="dotted", label="Time step " + str(show_timesteps[1])) +line12, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[2]], color="black", + linestyle="dashdot", label="Time step" + str(show_timesteps[2])) d1 = ax.plot(np.arange(0, sections+1, 1)*1000/sections, datap1["T"], color="black") -line2, = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe2[:, 10], color="black", - marker="+", label="Stationary solution") -line21, = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe2[:, 30], color="black", +line2, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[0]], color="black", + marker="+", linestyle="dashed") +line21, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[1]], color="black", linestyle="dotted") -line22, = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe2[:, 90], color="black", +line22, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[2]], color="black", linestyle="dashdot") d2 = ax1.plot(np.arange(0, sections+1, 1)*1000/sections, datap2["T"], color="black") -line3, = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe3[:, 10], color="black", +line3, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[0]], color="black", marker="+", linestyle="dashed") -line31, = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe3[:, 30], color="black", +line31, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[1]], color="black", linestyle="dotted") -line32, = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, pipe3[:, 90], color="black", +line32, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[2]], color="black", linestyle="dashdot") d3 = ax2.plot(np.arange(0, sections+1, 1), datap3["T"], color="black") ax.set_ylim((280, 335)) @@ -175,20 +160,4 @@ def _output_writer(net, time_steps, ow_path=None): ax2.set_ylim((280, 335)) ax.legend() fig.canvas.draw() -plt.show() - - -for phase in time_steps: - ax.set_ylim((280,335)) - ax1.set_ylim((280,335)) - ax2.set_ylim((280,335)) - line1.set_ydata(pipe1[:,phase]) - line2.set_ydata(pipe2[:,phase]) - line3.set_ydata(pipe3[:, phase]) - fig.canvas.draw() - fig.canvas.flush_events() - #plt.pause(.01) - - -print(net.res_pipe) -print(net.res_junction) +plt.show() \ No newline at end of file diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py new file mode 100644 index 00000000..14b30010 --- /dev/null +++ b/pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py @@ -0,0 +1,240 @@ +import pandapipes as pp +import numpy as np +import copy +import matplotlib.pyplot as plt +import time +import tempfile +# create empty net +import pandas as pd +import os +import pandapower.control as control +from pandapipes.component_models import Pipe +from pandapipes.timeseries import run_timeseries, init_default_outputwriter +from pandapower.timeseries import OutputWriter, DFData +from pandapipes import pp_dir +from types import MethodType +import matplotlib +from datetime import datetime + + +class OutputWriterTransient(OutputWriter): + def _save_single_xls_sheet(self, append): + raise NotImplementedError("Sorry not implemented yet") + + def _init_log_variable(self, net1, table, variable, index=None, eval_function=None, + eval_name=None): + if table == "res_internal": + index = np.arange(net1.pipe.sections.sum() - 1) + return super()._init_log_variable(net1, table, variable, index, eval_function, eval_name) + + +def _output_writer(net, time_steps, ow_path=None): + """ + Creating an output writer. + + :param net: Prepared pandapipes net + :type net: pandapipesNet + :param time_steps: Time steps to calculate as a list or range + :type time_steps: list, range + :param ow_path: Path to a folder where the output is written to. + :type ow_path: string, default None + :return: Output writer + :rtype: pandapower.timeseries.output_writer.OutputWriter + """ + + if transient_transfer: + log_variables = [ + ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k'), ('res_internal', 't_k') + ] + else: + log_variables = [ + ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k') + ] + owtrans = OutputWriterTransient(net, time_steps, output_path=ow_path, output_file_type=".csv", + log_variables=log_variables) + return owtrans + +def _prepare_net(net): + """ + Writing the DataSources of sinks and sources to the net with ConstControl. + + :param net: Previously created or loaded pandapipes network + :type net: pandapipesNet + :return: Prepared network for time series simulation + :rtype: pandapipesNet + """ + + ds_sink, ds_ext_grid = _data_source() + control.ConstControl(net, element='sink', variable='mdot_kg_per_s', + element_index=net.sink.index.values, data_source=ds_sink, + profile_name=net.sink.index.values.astype(str)) + + control.ConstControl(net, element='ext_grid', variable='t_k', + element_index=net.ext_grid.index.values, + data_source=ds_ext_grid, profile_name=net.ext_grid.index.values.astype(str)) + control.ConstControl(net, element='sink', variable='mdot_kg_per_s', + element_index=net.sink.index.values, + data_source=ds_sink, profile_name=net.sink.index.values.astype(str)) + return net + + +def _data_source(): + """ + Read out existing time series (csv files) for sinks and sources. + + :return: Time series values from csv files for sink and source + :rtype: DataFrame + """ + profiles_sink = pd.read_csv(os.path.join(pp_dir, 'files', + 'tee_junction_timeseries_sinks.csv'), index_col=0) + profiles_source = pd.read_csv(os.path.join(pp_dir, 'files', + 'tee_junction_timeseries_ext_grid.csv'), index_col=0) + ds_sink = DFData(profiles_sink) + ds_ext_grid = DFData(profiles_source) + return ds_sink, ds_ext_grid + + +# define the network +transient_transfer = True + +net = pp.create_empty_network(fluid="water") + +# create junctions +j1 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 1") +j2 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 2") +j3 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 3") +j4 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 4") + +# create junction elements +ext_grid = pp.create_ext_grid(net, junction=j1, p_bar=5, t_k=330, name="Grid Connection") +sink = pp.create_sink(net, junction=j3, mdot_kg_per_s=2, name="Sink") +sink = pp.create_sink(net, junction=j4, mdot_kg_per_s=2, name="Sink") + +# create branch elements +sections = 3 +nodes = 4 +length = 0.1 +k_mm = 0.0472 + +pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=k_mm, sections=sections, + alpha_w_per_m2k=5, text_k=293.15) +pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=k_mm, sections=sections, + alpha_w_per_m2k=5, text_k=293.15) +pp.create_pipe_from_parameters(net, j2, j4, length, 75e-3, k_mm=k_mm, sections=sections, + alpha_w_per_m2k=5, text_k=293.15) + +# prepare grid with controllers +_prepare_net(net) + +# define time steps, iterations and output writer for time series simulation +dt = 1 +time_steps = range(10) +iterations = 20 +output_directory = os.path.join(tempfile.gettempdir()) #, "time_series_example" +ow = _output_writer(net, len(time_steps), ow_path=output_directory) + +# run the time series +run_timeseries(net, time_steps, transient=transient_transfer, mode="all", iter=iterations, dt=dt) + + +# print and plot results + +print("v: ", net.res_pipe.loc[0, "v_mean_m_per_s"]) +print("timestepsreq: ", ((length * 1000) / net.res_pipe.loc[0, "v_mean_m_per_s"]) / dt) + +if transient_transfer: + res_T = ow.np_results["res_internal.t_k"] +else: + res_T = ow.np_results["res_junction.t_k"] + +# pipe1 = np.zeros(((sections + 1), res_T.shape[0])) +# pipe2 = np.zeros(((sections + 1), res_T.shape[0])) +# pipe3 = np.zeros(((sections + 1), res_T.shape[0])) +# +# pipe1[0, :] = copy.deepcopy(res_T[:, 0]) +# pipe1[-1, :] = copy.deepcopy(res_T[:, 1]) +# pipe2[0, :] = copy.deepcopy(res_T[:, 1]) +# pipe2[-1, :] = copy.deepcopy(res_T[:, 2]) +# pipe3[0, :] = copy.deepcopy(res_T[:, 1]) +# pipe3[-1, :] = copy.deepcopy(res_T[:, 3]) +# if transient_transfer: +# pipe1[1:-1, :] = np.transpose(copy.deepcopy(res_T[:, nodes:nodes + (sections - 1)])) +# pipe2[1:-1, :] = np.transpose( +# copy.deepcopy(res_T[:, nodes + (sections - 1):nodes + (2 * (sections - 1))])) +# pipe3[1:-1, :] = np.transpose( +# copy.deepcopy(res_T[:, nodes + (2 * (sections - 1)):nodes + (3 * (sections - 1))])) +# +# # datap1 = pd.read_csv(os.path.join(pp_dir, 'Temperature.csv'), +# # sep=';', +# # header=1, nrows=5, keep_default_na=False) +# # datap2 = pd.read_csv(os.path.join(pp_dir, 'Temperature.csv'), +# # sep=';', +# # header=8, nrows=5, keep_default_na=False) +# # datap3 = pd.read_csv(os.path.join(pp_dir, 'Temperature.csv'), +# # sep=';', +# # header=15, nrows=5, keep_default_na=False) +# +# from IPython.display import clear_output +# +# plt.ion() +# +# fig = plt.figure() +# ax = fig.add_subplot(221) +# ax1 = fig.add_subplot(222) +# ax2 = fig.add_subplot(223) +# ax.set_title("Pipe 1") +# ax1.set_title("Pipe 2") +# ax2.set_title("Pipe 3") +# ax.set_ylabel("Temperature [K]") +# ax1.set_ylabel("Temperature [K]") +# ax2.set_ylabel("Temperature [K]") +# ax.set_xlabel("Length coordinate [m]") +# ax1.set_xlabel("Length coordinate [m]") +# ax2.set_xlabel("Length coordinate [m]") +# +# show_timesteps = [1, 5, 9] +# +# line1, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[0]], color="black", +# marker="+", label="Time step " + str(show_timesteps[0]), linestyle="dashed") +# line11, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[1]], color="black", +# linestyle="dotted", label="Time step " + str(show_timesteps[1])) +# line12, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[2]], color="black", +# linestyle="dashdot", label="Time step" + str(show_timesteps[2])) +# +# line2, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[0]], color="black", +# marker="+", linestyle="dashed") +# line21, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[1]], color="black", +# linestyle="dotted") +# line22, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[2]], color="black", +# linestyle="dashdot") +# +# # line3, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[0]], color="black", +# # marker="+", linestyle="dashed") +# # line31, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[1]], color="black", +# # linestyle="dotted") +# # line32, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[2]], color="black", +# # linestyle="dashdot") +# +# # if length == 1 and sections == 4 and k_mm == 0.1 and dt == 60: +# # d1 = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, datap1["T"], color="black") +# # d2 = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, datap2["T"], color="black") +# # d3 = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, datap3["T"], color="black") +# +# ax.set_ylim((280, 335)) +# ax1.set_ylim((280, 335)) +# ax2.set_ylim((280, 335)) +# ax.legend() +# fig.canvas.draw() +# plt.show() +# # plt.savefig("files/output/tee_junction"+"sections"+str(sections)+"total_length_m"+str(length*1000)+"dt"+str(dt)+"iter"+str(iterations)+"k_mm"+str(k_mm)+".png") #+datetime.now().strftime("%d-%m-%Y-%H:%M:%S") +# +# for phase in time_steps: +# line1.set_ydata(pipe1[:, phase]) +# line2.set_ydata(pipe2[:, phase]) +# # line3.set_ydata(pipe3[:, phase]) +# fig.canvas.draw() +# fig.canvas.flush_events() +# plt.pause(.01) + + +# print("Results can be found in your local temp folder: {}".format(output_directory)) diff --git a/setup.py b/setup.py index 2467c2dc..29f7fdc9 100644 --- a/setup.py +++ b/setup.py @@ -43,7 +43,7 @@ long_description_content_type='text/x-rst', url='http://www.pandapipes.org', license='BSD', - install_requires=["pandapower>=2.10.1", "matplotlib"], + install_requires=["matplotlib"], #"pandapower>=2.10.1", - removed and install by git extras_require={"docs": ["numpydoc", "sphinx", "sphinx_rtd_theme", "sphinxcontrib.bibtex"], "plotting": ["plotly", "python-igraph"], "test": ["pytest", "pytest-xdist", "nbmake"], From 29ff5531b1f691bfdb21c36ba75038f45459c9f6 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 26 Jan 2023 14:43:06 +0100 Subject: [PATCH 07/35] External Reset PID changes, Collector control class for multi-logic selectors --- .../dynamic_valve_component.py | 117 +++++++++-- pandapipes/component_models/pump_component.py | 1 + pandapipes/control/__init__.py | 4 + .../controller/collecting_controller.py | 77 +++++++ .../controller/differential_control.py | 121 +++++++++++ .../control/controller/pid_controller.py | 190 ++++++++++++++++++ pandapipes/create.py | 19 +- pandapipes/idx_branch.py | 6 +- pandapipes/pf/pipeflow_setup.py | 2 +- pandapipes/pipeflow.py | 6 +- 10 files changed, 507 insertions(+), 36 deletions(-) create mode 100644 pandapipes/control/controller/collecting_controller.py create mode 100644 pandapipes/control/controller/differential_control.py create mode 100644 pandapipes/control/controller/pid_controller.py diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 4a150995..6db8d293 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -5,13 +5,14 @@ import numpy as np from numpy import dtype from operator import itemgetter - +from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ BranchWZeroLengthComponent from pandapipes.component_models.junction_component import Junction +from pandapipes.pf.pipeflow_setup import get_net_option, get_net_options from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, NODE_TYPE, P, ACTIVE as ACTIVE_ND, LOAD -from pandapipes.idx_branch import D, AREA, TL, KV, ACTUAL_POS, STD_TYPE, R_TD, FROM_NODE, TO_NODE, \ - VINIT, RHO, PL, LOSS_COEFFICIENT as LC, DESIRED_MV, ACTIVE +from pandapipes.idx_branch import D, AREA, TL, Kv_max, ACTUAL_POS, STD_TYPE, FROM_NODE, TO_NODE, \ + VINIT, RHO, PL, LOSS_COEFFICIENT as LC, DESIRED_MV, ACTIVE, LOAD_VEC_NODES from pandapipes.pf.result_extraction import extract_branch_results_without_internals from pandapipes.properties.fluids import get_fluid @@ -22,10 +23,16 @@ class DynamicValve(BranchWZeroLengthComponent): They have a length of 0, but can introduce a lumped pressure loss. The equation is based on the standard valve dynamics: q = Kv(h) * sqrt(Delta_P). """ + # class attributes fcts = None + prev_mvlag = 0 + kwargs = None + prev_act_pos = 0 + time_step = 0 + @classmethod - def set_function(cls, net): + def set_function(cls, net, actual_pos, **kwargs): std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values == std_types_lookup[:, np.newaxis]) @@ -33,6 +40,10 @@ def set_function(cls, net): fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + # Initial config + cls.prev_act_pos = actual_pos + cls.kwargs = kwargs + @classmethod def from_to_node_cols(cls): return "from_junction", "to_junction" @@ -49,6 +60,7 @@ def active_identifier(cls): def get_connected_node_type(cls): return Junction + @classmethod def create_pit_branch_entries(cls, net, branch_pit): """ @@ -64,10 +76,10 @@ def create_pit_branch_entries(cls, net, branch_pit): valve_pit = super().create_pit_branch_entries(net, branch_pit) valve_pit[:, D] = net[cls.table_name()].diameter_m.values valve_pit[:, AREA] = valve_pit[:, D] ** 2 * np.pi / 4 - valve_pit[:, KV] = net[cls.table_name()].Kv.values + valve_pit[:, Kv_max] = net[cls.table_name()].Kv_max.values valve_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values - valve_pit[:, R_TD] = net[cls.table_name()].r_td.values + # Update in_service status if valve actual position becomes 0% if valve_pit[:, ACTUAL_POS] > 0: @@ -82,39 +94,101 @@ def create_pit_branch_entries(cls, net, branch_pit): valve_pit[pos, STD_TYPE] = std_type @classmethod - def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - # calculation of valve flow via + def plant_dynamics(cls, dt, desired_mv): + """ + Takes in the desired valve position (MV value) and computes the actual output depending on + equipment lag parameters. + Returns Actual valve position + """ + + if cls.kwargs.__contains__("act_dynamics"): + typ = cls.kwargs['act_dynamics'] + else: + # default to instantaneous + return desired_mv + + # linear + if typ == "l": + + # TODO: equation for linear + actual_pos = desired_mv + + # first order + elif typ == "fo": + + a = np.divide(dt, cls.kwargs['time_const_s'] + dt) + actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + + cls.prev_act_pos = actual_pos + + # second order + elif typ == "so": + # TODO: equation for second order + actual_pos = desired_mv - # we need to know which element is fixed, i.e Dynamic_Valve P_out, Dynamic_Valve P_in, Dynamic_Valve Flow_rate + else: + # instantaneous - when incorrect option selected + actual_pos = desired_mv + + return actual_pos + + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + timseries = False f, t = idx_lookups[cls.table_name()] valve_pit = branch_pit[f:t, :] area = valve_pit[:, AREA] - #idx = valve_pit[:, STD_TYPE].astype(int) - #std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[idx] + dt = options['dt'] from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) to_nodes = valve_pit[:, TO_NODE].astype(np.int32) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + desired_mv = valve_pit[:, DESIRED_MV] + #initial_run = getattr(net['controller']["object"].at[0], 'initial_run') + + if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running + actual_pos = cls.plant_dynamics(dt, desired_mv) + valve_pit[:, ACTUAL_POS] = actual_pos + cls.time_step+= 1 - # look up travel (TODO: maybe a quick check if travel has changed instead of calling poly function each cycle? - #fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) - #fcts = [fcts] if not isinstance(fcts, tuple) else fcts - lift = np.divide(valve_pit[:, ACTUAL_POS], 100) + else: # Steady state analysis + actual_pos = valve_pit[:, ACTUAL_POS] + + lift = np.divide(actual_pos, 100) relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) - kv_at_travel = relative_flow * valve_pit[:, KV] # m3/h.Bar + kv_at_travel = relative_flow * valve_pit[:, Kv_max] # m3/h.Bar delta_p = p_from - p_to # bar q_m3_h = kv_at_travel * np.sqrt(delta_p) q_m3_s = np.divide(q_m3_h, 3600) v_mps = np.divide(q_m3_s, area) - #v_mps = valve_pit[:, VINIT] rho = valve_pit[:, RHO] - #rho = 1004 zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) valve_pit[:, LC] = zeta - #node_pit[:, LOAD] = q_m3_s * RHO # mdot_kg_per_s # we can not change the velocity nor load here!! - #valve_pit[:, VINIT] = v_mps + + + ''' + @classmethod + def adaption_after_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + + # see if node pit types either side are 'pressure reference nodes' i.e col:3 == 1 + f, t = idx_lookups[cls.table_name()] + valve_pit = branch_pit[f:t, :] + from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) + to_nodes = valve_pit[:, TO_NODE].astype(np.int32) + + if (node_pit[from_nodes, NODE_TYPE].astype(np.int32) == 1 & node_pit[to_nodes, NODE_TYPE].astype(np.int32) == 1): #pressure fixed + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + lift = np.divide(valve_pit[:, ACTUAL_POS], 100) + relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) + kv_at_travel = relative_flow * valve_pit[:, KV] # m3/h.Bar + delta_p = p_from - p_to # bar + q_m3_h = kv_at_travel * np.sqrt(delta_p) + q_kg_s = np.divide(q_m3_h * valve_pit[:, RHO], 3600) + valve_pit[:, LOAD_VEC_NODES] = q_kg_s # mass_flow (kg_s) + ''' @classmethod def calculate_temperature_lift(cls, net, valve_pit, node_pit): @@ -144,8 +218,7 @@ def get_component_input(cls): ("diameter_m", "f8"), ("actual_pos", "f8"), ("std_type", dtype(object)), - ("Kv", "f8"), - ("r_td", "f8"), + ("Kv_max", "f8"), ("type", dtype(object))] @classmethod diff --git a/pandapipes/component_models/pump_component.py b/pandapipes/component_models/pump_component.py index 7bd69ea8..f828a685 100644 --- a/pandapipes/component_models/pump_component.py +++ b/pandapipes/component_models/pump_component.py @@ -105,6 +105,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo # no longer required as function preset on class initialisation #fcts = itemgetter(*std_types)(net['std_types']['pump']) #fcts = [fcts] if not isinstance(fcts, tuple) else fcts + #TODO mask pump number if net[cls.table_name()]['type'].values == 'pump': pl = np.array(list(map(lambda x, y: x.get_pressure(y), cls.fcts, vol))) else: # type is dynamic pump diff --git a/pandapipes/control/__init__.py b/pandapipes/control/__init__.py index 192ee18f..3a936006 100644 --- a/pandapipes/control/__init__.py +++ b/pandapipes/control/__init__.py @@ -3,3 +3,7 @@ # Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. from pandapipes.control.run_control import run_control +# --- Controller --- +from pandapipes.control.controller.pid_controller import PidControl +from pandapipes.control.controller.differential_control import DifferentialControl +from pandapipes.control.controller.collecting_controller import CollectorController \ No newline at end of file diff --git a/pandapipes/control/controller/collecting_controller.py b/pandapipes/control/controller/collecting_controller.py new file mode 100644 index 00000000..b8958f49 --- /dev/null +++ b/pandapipes/control/controller/collecting_controller.py @@ -0,0 +1,77 @@ +# -*- coding: utf-8 -*- + +# Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. +import pandas as pd +import numpy as np +from pandapower.toolbox import _detect_read_write_flag, write_to_net +from pandapower.auxiliary import pandapowerNet, get_free_id + +try: + import pandaplan.core.pplog as logging +except ImportError: + import logging + +logger = logging.getLogger(__name__) + + +class CollectorController: + """ + Class for logic selector controllers, for use with multiple external reset PID controllers + + """ + + controller_mv_table = pd.DataFrame(data=[], columns=['fc_element', 'fc_index', 'fc_variable', + 'ctrl_values', 'logic_typ', 'write_flag']) + + @classmethod + def write_to_ctrl_collector(cls, net, ctrl_element, ctrl_index, ctrl_variable, ctrl_values, logic_typ, write_flag): + """ + Collector table for controllers on the same level and order. + Common final control elements are collected are held until all controllers are finalised. + """ + + if cls.controller_mv_table[(cls.controller_mv_table['fc_element'] == ctrl_element) & + (cls.controller_mv_table['fc_index'] == ctrl_index.item()) & + (cls.controller_mv_table['fc_variable'] == ctrl_variable)].empty: + + idx = get_free_id(cls.controller_mv_table) + cls.controller_mv_table.loc[idx] = \ + [ctrl_element, ctrl_index, ctrl_variable, [ctrl_values.item()], [logic_typ], [write_flag]] + + else: + r_idx = int(cls.controller_mv_table[(cls.controller_mv_table.fc_element == ctrl_element) & + (cls.controller_mv_table.fc_index == ctrl_index) & + (cls.controller_mv_table.fc_variable == ctrl_variable)].index.values) + + cls.controller_mv_table.loc[r_idx].ctrl_values.append(ctrl_values.item()) + cls.controller_mv_table.loc[r_idx].logic_typ.append(logic_typ) + cls.controller_mv_table.loc[r_idx].write_flag.append(write_flag) + + @classmethod + def consolidate_logic(cls, net): + """ + Combines controllers that are on the same level and order, so that controller logic type can be evaluated on all + common FCE elements. The final desired MV value is written to the FCE element. + """ + + for fc_element, fc_index, fc_variable, ctrl_values, logic_typ, write_flag in cls.controller_mv_table[ + ['fc_element', 'fc_index', 'fc_variable', 'ctrl_values', 'logic_typ', 'write_flag']].apply(tuple, axis=1): + + ctrl_typ = np.array(logic_typ) + values, counts = np.unique(ctrl_typ, return_counts=True) + + if len(values) == 1: + if values.item() == 'low': + write_to_net(net, fc_element, fc_index, fc_variable, min(ctrl_values), write_flag[0]) + elif values.item() == 'high': + write_to_net(net, fc_element, fc_index, fc_variable, max(ctrl_values), write_flag[0]) + else: + logger.warning("Override logic selector type not yet implemented for common final control element") + else: + logger.warning("Multiple override logic selectors implemented for common final control element" + " at " + str(fc_element) + ', ' + str(fc_index) + ', ' + str(fc_variable)) + + cls.controller_mv_table.drop(cls.controller_mv_table.index, inplace=True) + + diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py new file mode 100644 index 00000000..8c000f57 --- /dev/null +++ b/pandapipes/control/controller/differential_control.py @@ -0,0 +1,121 @@ +# -*- coding: utf-8 -*- + +# Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +from pandapipes.control.controller.pid_controller import PidControl +from pandapower.toolbox import _detect_read_write_flag, write_to_net + +try: + import pandaplan.core.pplog as logging +except ImportError: + import logging + +logger = logging.getLogger(__name__) + + +class DifferentialControl(PidControl): + """ + Class representing a PID- differential time series controller for specified elements and variables. + + """ + + def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, prev_mv=100, integral=0, dt=1, + dir_reversed=False, process_variable_1=None, process_element_1=None, process_element_index_1=None, + process_variable_2=None, process_element_2=None, process_element_index_2=None, cv_scaler=1, + kp=1, ki=0.05, Ti=5, Td=0, kd=0, mv_max=100.00, mv_min=20.00, profile_name=None, + data_source=None, scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, + drop_same_existing_ctrl=False, matching_params=None, + initial_run=False, pass_element=None, pass_variable=None, pass_element_index=None, **kwargs): + # just calling init of the parent + if matching_params is None: + matching_params = {"element": fc_element, "variable": fc_variable, + "element_index": fc_element_index} + super().__init__(net, in_service=in_service, recycle=recycle, order=order, level=level, + drop_same_existing_ctrl=drop_same_existing_ctrl, + matching_params=matching_params, initial_run=initial_run, + **kwargs) + + # data source for time series values + self.data_source = data_source + self.ctrl_variable = fc_variable + self.ctrl_element_index = fc_element_index + # element type + self.ctrl_element = fc_element + self.values = None + + self.profile_name = profile_name + self.scale_factor = scale_factor + self.applied = False + self.write_flag, self.variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) + self.set_recycle(net) + + # PID config + self.Kp = kp + self.Kc = 1 + self.Ki = ki + self.Ti = Ti + self.Td = Td + self.Kd = kd + self.MV_max = mv_max + self.MV_min = mv_min + self.PV_max = pv_max + self.PV_min = pv_min + self.integral = integral + self.prev_mv = prev_mv + self.prev_error = 0 + self.dt = dt + self.dir_reversed = dir_reversed + self.gain_effective = ((self.MV_max - self.MV_min) / (self.PV_max - self.PV_min)) * self.Kp + # selected pv value + self.process_element_1 = process_element_1 + self.process_variable_1 = process_variable_1 + self.process_element_index_1 = process_element_index_1 + self.process_element_2 = process_element_2 + self.process_variable_2 = process_variable_2 + self.process_element_index_2 = process_element_index_2 + self.cv_scaler = cv_scaler + self.cv = net[self.ctrl_element][self.process_variable].loc[self.process_element_index] + self.prev_cv = 0 + self.prev2_cv = 0 + + super().set_recycle(net) + + def time_step(self, net, time): + """ + Get the values of the element from data source + Write to pandapower net by calling write_to_net() + If ConstControl is used without a data_source, it will reset the controlled values to the initial values, + preserving the initial net state. + """ + self.applied = False + # Differential calculation + pv_1 = net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] + pv_2 = net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2] + pv = pv_1 - pv_2 + + self.cv = pv * self.cv_scaler + sp = self.data_source.get_time_step_value(time_step=time, + profile_name=self.profile_name, + scale_factor=self.scale_factor) + + # self.values is the set point we wish to make the output + if not self.dir_reversed: + # error= SP-PV + error_value = sp - self.cv + else: + # error= SP-PV + error_value = self.cv - sp + + # TODO: hysteresis band + # if error < 0.01 : error = 0 + mv = self.pid_control(error_value.values) + + self.values = mv + # here we write the mv value to the network controlled element + write_to_net(net, self.element, self.element_index, self.variable, self.values, self.write_flag) + + def __str__(self): + return super().__str__() + " [%s.%s]" % (self.element, self.variable) + + diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py new file mode 100644 index 00000000..cbeb589d --- /dev/null +++ b/pandapipes/control/controller/pid_controller.py @@ -0,0 +1,190 @@ +# -*- coding: utf-8 -*- + +# Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +from pandapower.control.basic_controller import Controller +from pandapower.toolbox import _detect_read_write_flag, write_to_net +from pandapipes.control.controller.collecting_controller import CollectorController +import math, numpy as np +try: + import pandaplan.core.pplog as logging +except ImportError: + import logging + +logger = logging.getLogger(__name__) + + +class PidControl(Controller): + """ + Class representing a PID time series controller for a specified element and variable. + + """ + + def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, + process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, + kp=1, Ti= 5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, + data_source=None, scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, + drop_same_existing_ctrl=False, matching_params=None, + initial_run=False, **kwargs): + # just calling init of the parent + if matching_params is None: + matching_params = {"fc_element": fc_element, "fc_variable": fc_variable, + "fc_element_index": fc_element_index} + super().__init__(net, in_service=in_service, recycle=recycle, order=order, level=level, + drop_same_existing_ctrl=drop_same_existing_ctrl, + matching_params=matching_params, initial_run=initial_run, + **kwargs) + + self.__dict__.update(kwargs) + #self.kwargs = kwargs + + # data source for time series values + self.data_source = data_source + # ids of sgens or loads + self.fc_element_index = fc_element_index + # control element type + self.fc_element = fc_element + self.ctrl_values = None + + self.profile_name = profile_name + self.scale_factor = scale_factor + self.applied = False + self.write_flag, self.fc_variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) + self.set_recycle(net) + + # PID config + self.Kp = kp + self.Ti = Ti + self.Td = Td + self.MV_max = mv_max + self.MV_min = mv_min + self.PV_max = pv_max + self.PV_min = pv_min + self.prev_mv = net[fc_element].actual_pos.values + self.prev_mvlag = net[fc_element].actual_pos.values + self.prev_act_pos = net[fc_element].actual_pos.values + self.prev_error = 0 + self.dt = 1 + self.dir_reversed = dir_reversed + self.gain_effective = ((self.MV_max-self.MV_min)/(self.PV_max - self.PV_min)) * self.Kp + # selected pv value + self.process_element = process_element + self.process_variable = process_variable + self.process_element_index = process_element_index + self.cv_scaler = cv_scaler + self.cv = net[self.process_element][self.process_variable].loc[self.process_element_index] + self.sp = 0 + self.prev_sp = 0 + self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] + + self.diffgain = 1 # must be between 1 and 10 + self.diff_out= 0 + self.prev_diff_out = 0 + self.auto = auto + + + super().set_recycle(net) + + def pid_control(self, error_value): + """ + Algorithm 1: External Reset PID controller + + """ + # External Reset PID + + diff_component = np.divide(self.Td, self.Td + self.dt * self.diffgain) + self.diff_out = diff_component * (self.prev_diff_out + self.diffgain * (error_value - self.prev_error)) + + G_ain = (error_value * (1 + self.diff_out)) * self.gain_effective + + a_pid = np.divide(self.dt, self.Ti + self.dt) + + mv_lag = (1 - a_pid) * self.prev_mvlag + a_pid * self.prev_mv + + mv_lag = np.clip(mv_lag, self.MV_min, self.MV_max) + + mv = G_ain + mv_lag + + # MV Saturation + mv = np.clip(mv, self.MV_min, self.MV_max) + + self.prev_diff_out = self.diff_out + self.prev_error = error_value + self.prev_mvlag = mv_lag + self.prev_mv = mv + + return mv + + + + def time_step(self, net, time): + """ + Get the values of the element from data source + Write to pandapower net by calling write_to_net() + If ConstControl is used without a data_source, it will reset the controlled values to the initial values, + preserving the initial net state. + """ + self.applied = False + self.dt = net['_options']['dt'] + pv = net[self.process_element][self.process_variable].loc[self.process_element_index] + + self.cv = pv * self.cv_scaler + self.sp = self.data_source.get_time_step_value(time_step=time, + profile_name=self.profile_name, + scale_factor=self.scale_factor) + + if self.auto: + # Di + # self.values is the set point we wish to make the output + if not self.dir_reversed: + # error= SP-PV + error_value = self.sp - self.cv + else: + # error= SP-PV + error_value = self.cv - self.sp + + # TODO: hysteresis band + # if error < 0.01 : error = 0 + desired_mv = self.pid_control(error_value.values) + + + else: + # Write data source directly to controlled variable + desired_mv = self.sp + + self.ctrl_values = desired_mv + + # Write desired_mv to the network + if hasattr(self, "ctrl_typ"): + if self.ctrl_typ == "over_ride": + CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, + self.fc_variable, self.ctrl_values, self.selector_typ, + self.write_flag) + else: #self.ctrl_typ == "std": + # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, + # self.ctrl_values, self.write_flag) + # Write the desired MV value to results for future plotting + write_to_net(net, self.fc_element, self.fc_element_index, "desired_mv", self.ctrl_values, + self.write_flag) + + else: + # Assume standard External Reset PID controller + write_to_net(net, self.fc_element, self.fc_element_index, "desired_mv", self.ctrl_values, + self.write_flag) + + + def is_converged(self, net): + """ + Actual implementation of the convergence criteria: If controller is applied, it can stop + """ + return self.applied + + def control_step(self, net): + """ + Set applied to True, which means that the values set in time_step have been included in the load flow calculation. + """ + self.applied = True + + def __str__(self): + return super().__str__() + " [%s.%s]" % (self.fc_element, self.fc_variable) diff --git a/pandapipes/create.py b/pandapipes/create.py index c17b7340..ae7cc544 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -504,9 +504,9 @@ def create_valve(net, from_junction, to_junction, diameter_m, opened=True, loss_ return index -def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, Kv, r_td= 25.0, - actual_pos=10.00, desired_mv= None, in_service=True, name=None, index=None, - type='i', **kwargs): +def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, Kv_max, + actual_pos=50.00, desired_mv=None, in_service=True, name=None, index=None, + type='dyn_valve', **kwargs): """ Creates a valve element in net["valve"] from valve parameters. @@ -518,8 +518,8 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, :type to_junction: int :param diameter_m: The valve diameter in [m] :type diameter_m: float - :param Kv: Max Dynamic_Valve coefficient in terms of water flow (m3/h.bar) at a constant pressure drop of 1 Bar - :type Kv: float + :param Kv_max: Max Dynamic_Valve coefficient in terms of water flow (m3/h.bar) at a constant pressure drop of 1 Bar + :type Kv_max: float :param actual_pos: Dynamic_Valve opened percentage, provides the initial valve status :type actual_pos: float, default 10.0 % :param std_type: There are currently three different std_types. This std_types are Kv1, Kv2, Kv3.\ @@ -541,9 +541,12 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, :rtype: int :Example: - >>> create_valve(net, 0, 1, diameter_m=4e-3, name="valve1", Kv= 5, r_td= 25.0, actual_pos=44.44, type= "fo") + >>> create_valve(net, 0, 1, diameter_m=4e-3, name="valve1", Kv_max= 5, actual_pos=44.44) """ + + #DynamicValve(net, **kwargs) + add_new_component(net, DynamicValve) index = _get_index_with_check(net, "dynamic_valve", index) @@ -551,11 +554,11 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, _check_std_type(net, std_type, "dynamic_valve", "create_dynamic_valve") v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, - "diameter_m": diameter_m, "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv": Kv, "r_td": r_td, "std_type": std_type, + "diameter_m": diameter_m, "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv_max": Kv_max, "std_type": std_type, "type": type, "in_service": in_service} _set_entries(net, "dynamic_valve", index, **v, **kwargs) - DynamicValve.set_function(net) + DynamicValve.set_function(net, actual_pos, **kwargs) return index diff --git a/pandapipes/idx_branch.py b/pandapipes/idx_branch.py index fbef3d37..6dff7882 100644 --- a/pandapipes/idx_branch.py +++ b/pandapipes/idx_branch.py @@ -43,8 +43,8 @@ BRANCH_TYPE = 38 # branch type relevant for the pressure controller PRESSURE_RATIO = 39 # boost ratio for compressors with proportional pressure lift T_OUT_OLD = 40 -KV= 41 # dynamic valve flow characteristics +Kv_max= 41 # dynamic valve flow characteristics DESIRED_MV= 42 # Final Control Element (FCE) Desired Manipulated Value percentage opened ACTUAL_POS= 43 # Final Control Element (FCE) Actual Position Value percentage opened -R_TD= 44 # Dynamic valve ratio-turndown -branch_cols = 45 \ No newline at end of file + +branch_cols = 44 \ No newline at end of file diff --git a/pandapipes/pf/pipeflow_setup.py b/pandapipes/pf/pipeflow_setup.py index 2ac5a118..c5273f16 100644 --- a/pandapipes/pf/pipeflow_setup.py +++ b/pandapipes/pf/pipeflow_setup.py @@ -36,7 +36,7 @@ "check_connectivity": True, "use_numba": True, "max_iter_colebrook": 100, "only_update_hydraulic_matrix": False, "reuse_internal_data": False, "quit_on_inconsistency_connectivity": False, "calc_compression_power": True, - "transient": False, "time_step": None, "dt": 60} + "transient": False, "dynamic_sim": False, "time_step": None, "dt": 60} def get_net_option(net, option_name): diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 72edc0e2..73016fbe 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -70,7 +70,8 @@ def pipeflow(net, sol_vec=None, **kwargs): init_all_result_tables(net) # TODO: a really bad solution, should be passed in from outside! - if get_net_option(net, "transient"): + #if get_net_option(net, "transient"): + if get_net_option(net, "dynamic_sim"): if get_net_option(net, "time_step") is None: set_net_option(net, "time_step", 0) if get_net_option(net, "transient") and get_net_option(net, "time_step") != 0: @@ -123,7 +124,8 @@ def pipeflow(net, sol_vec=None, **kwargs): extract_all_results(net, nodes_connected, branches_connected) # TODO: a really bad solution, should be passed in from outside! - if get_net_option(net, "transient"): + #if get_net_option(net, "transient"): + if get_net_option(net, "dynamic_sim"): set_net_option(net, "time_step", get_net_option(net, "time_step") + 1) From e1a3b2421c5da0f7957b1503e323c1c6a25d13d1 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 2 Feb 2023 12:06:42 +0100 Subject: [PATCH 08/35] External Reset PID changes, Collector control class for multi-logic selectors --- pandapipes/component_models/__init__.py | 1 + .../dynamic_circulation_pump_component.py | 211 ++++++++ .../dynamic_valve_component.py | 14 + pandapipes/component_models/pump_component.py | 39 +- .../controller/collecting_controller.py | 5 +- pandapipes/create.py | 70 ++- pandapipes/pf/pipeflow_setup.py | 2 +- pandapipes/pipeflow.py | 3 +- pandapipes/plotting/simple_plot.py | 4 +- pandapipes/std_types/std_types.py | 2 +- .../release_control_test_network.py | 4 +- .../test_pandapipes_circular_flow.py | 2 +- .../test/pipeflow_internals/test_transient.py | 19 +- ...ular_flow_in_a_district_heating_grid.ipynb | 103 +++- tutorials/creating_a_simple_network.ipynb | 12 +- tutorials/height_difference_example.ipynb | 507 +++++++++++++++++- 16 files changed, 923 insertions(+), 75 deletions(-) create mode 100644 pandapipes/component_models/dynamic_circulation_pump_component.py diff --git a/pandapipes/component_models/__init__.py b/pandapipes/component_models/__init__.py index f1253bb3..2b05175d 100644 --- a/pandapipes/component_models/__init__.py +++ b/pandapipes/component_models/__init__.py @@ -6,6 +6,7 @@ from pandapipes.component_models.pipe_component import * from pandapipes.component_models.valve_component import * from pandapipes.component_models.dynamic_valve_component import * +from pandapipes.component_models.dynamic_circulation_pump_component import * from pandapipes.component_models.ext_grid_component import * from pandapipes.component_models.sink_component import * from pandapipes.component_models.source_component import * diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py new file mode 100644 index 00000000..5cbc5f74 --- /dev/null +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -0,0 +1,211 @@ +# Copyright (c) 2020-2022 by Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel, and University of Kassel. All rights reserved. +# Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. + +import numpy as np +from numpy import dtype +from operator import itemgetter +from pandapipes.component_models.junction_component import Junction +from pandapipes.component_models.abstract_models.circulation_pump import CirculationPump +from pandapipes.idx_node import PINIT, NODE_TYPE, P, EXT_GRID_OCCURENCE +from pandapipes.pf.internals_toolbox import _sum_by_group +from pandapipes.pf.pipeflow_setup import get_lookup, get_net_option +from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, LOSS_COEFFICIENT as LC, FROM_NODE, \ + TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO +from pandapipes.idx_node import PINIT, PAMB, HEIGHT +from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, P_CONVERSION, GRAVITATION_CONSTANT +from pandapipes.properties.fluids import get_fluid +from pandapipes.component_models.component_toolbox import p_correction_height_air + +try: + import pandaplan.core.pplog as logging +except ImportError: + import logging + +logger = logging.getLogger(__name__) + + +class DynamicCirculationPump(CirculationPump): + + # class attributes + fcts = None + prev_mvlag = 0 + kwargs = None + prev_act_pos = 0 + time_step = 0 + sink_index_p= None + source_index_p = None + + @classmethod + def set_function(cls, net, actual_pos, **kwargs): + std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) + cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + # Initial config + cls.prev_act_pos = actual_pos + cls.kwargs = kwargs + + + @classmethod + def table_name(cls): + return "dyn_circ_pump" + + @classmethod + def get_connected_node_type(cls): + return Junction + + @classmethod + def create_pit_node_entries(cls, net, node_pit): + """ + Function which creates pit node entries. + + :param net: The pandapipes network + :type net: pandapipesNet + :param node_pit: + :type node_pit: + :return: No Output. + """ + # Sets Source (discharge pressure), temp and junction types + circ_pump, press = super().create_pit_node_entries(net, node_pit) + + junction_idx_lookups = get_lookup(net, "node", "index")[ + cls.get_connected_node_type().table_name()] + + # Calculates the suction pressure from: (source minus p_lift) and indicates which junction node to set this value + juncts_p, press_sum, number = _sum_by_group(get_net_option(net, "use_numba"), circ_pump.to_junction.values, + p_correction_height_air(node_pit[:, HEIGHT]), np.ones_like(press, dtype=np.int32)) + + # Sets sink (suction pressure) pressure and type values + cls.sink_index_p = junction_idx_lookups[juncts_p] + node_pit[cls.sink_index_p, PINIT] = press_sum / number + node_pit[cls.sink_index_p, NODE_TYPE] = P + node_pit[cls.sink_index_p, EXT_GRID_OCCURENCE] += number + + net["_lookups"]["ext_grid"] = \ + np.array(list(set(np.concatenate([net["_lookups"]["ext_grid"], cls.sink_index_p])))) + + + @classmethod + def plant_dynamics(cls, dt, desired_mv): + """ + Takes in the desired valve position (MV value) and computes the actual output depending on + equipment lag parameters. + Returns Actual valve position + """ + + if cls.kwargs.__contains__("act_dynamics"): + typ = cls.kwargs['act_dynamics'] + else: + # default to instantaneous + return desired_mv + + # linear + if typ == "l": + + # TODO: equation for linear + actual_pos = desired_mv + + # first order + elif typ == "fo": + + a = np.divide(dt, cls.kwargs['time_const_s'] + dt) + actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + + cls.prev_act_pos = actual_pos + + # second order + elif typ == "so": + # TODO: equation for second order + actual_pos = desired_mv + + else: + # instantaneous - when incorrect option selected + actual_pos = desired_mv + + return actual_pos + + + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + # calculation of pressure lift + f, t = idx_lookups[cls.table_name()] + pump_pit = branch_pit[f:t, :] + dt = options['dt'] + + desired_mv = net[cls.table_name()].desired_mv.values + + D = 0.1 + area = D ** 2 * np.pi / 4 + + from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) + fluid = get_fluid(net) + + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + + numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] + v_mps = pump_pit[:, VINIT] + + if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running + actual_pos = cls.plant_dynamics(dt, desired_mv) + valve_pit[:, ACTUAL_POS] = actual_pos + cls.time_step+= 1 + + + else: # Steady state analysis + actual_pos = valve_pit[:, ACTUAL_POS] + + + if fluid.is_gas: + # consider volume flow at inlet + normfactor_from = numerator * fluid.get_property("compressibility", p_from) \ + / (p_from * NORMAL_TEMPERATURE) + v_mean = v_mps * normfactor_from + else: + v_mean = v_mps + vol = v_mean * area + + speed = net[cls.table_name()].actual_pos.values + hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), cls.fcts, vol, speed))) + pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar + + + ##### Add Pressure Lift To Extgrid Node ######## + ext_grids = net[cls.table_name()] + ext_grids = ext_grids[ext_grids.in_service.values] + + p_mask = np.where(np.isin(ext_grids.type.values, ["p", "pt"])) + press = pl #ext_grids.p_bar.values[p_mask] + junction_idx_lookups = get_lookup(net, "node", "index")[ + cls.get_connected_node_type().table_name()] + junction = cls.get_connected_junction(net) + juncts_p, press_sum, number = _sum_by_group( + get_net_option(net, "use_numba"), junction.values[p_mask], press, + np.ones_like(press, dtype=np.int32)) + index_p = junction_idx_lookups[juncts_p] + + node_pit[index_p, PINIT] = press_sum / number + #node_pit[index_p, NODE_TYPE] = P + #node_pit[index_p, EXT_GRID_OCCURENCE] += number + + + @classmethod + def get_component_input(cls): + """ + + :return: + :rtype: + """ + return [("name", dtype(object)), + ("from_junction", "u4"), + ("to_junction", "u4"), + ("p_bar", "f8"), + ("t_k", "f8"), + ("plift_bar", "f8"), + ("actual_pos", "f8"), + ("std_type", dtype(object)), + ("in_service", 'bool'), + ("type", dtype(object))] diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 6db8d293..4f353520 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -158,15 +158,29 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo lift = np.divide(actual_pos, 100) relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) + kv_at_travel = relative_flow * valve_pit[:, Kv_max] # m3/h.Bar + delta_p = p_from - p_to # bar q_m3_h = kv_at_travel * np.sqrt(delta_p) q_m3_s = np.divide(q_m3_h, 3600) v_mps = np.divide(q_m3_s, area) rho = valve_pit[:, RHO] zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) + # Issue with 1st loop initialisation, when delta_p == 0, zeta remains 0 for entire iteration + if delta_p == 0: + zeta= 0.1 valve_pit[:, LC] = zeta + ''' + + ### For pressure Lift calculation '' + v_mps = valve_pit[:, VINIT] + vol_m3_s = v_mps * area # m3_s + vol_m3_h = vol_m3_s * 3600 + delta_p = np.divide(vol_m3_h**2, kv_at_travel**2) # bar + valve_pit[:, PL] = delta_p + ''' ''' @classmethod diff --git a/pandapipes/component_models/pump_component.py b/pandapipes/component_models/pump_component.py index f828a685..fc73b110 100644 --- a/pandapipes/component_models/pump_component.py +++ b/pandapipes/component_models/pump_component.py @@ -31,16 +31,21 @@ class Pump(BranchWZeroLengthComponent): """ fcts = None # Sets the std_type_class for lookup function + kwargs = None @classmethod - def set_function(cls, net, type): - std_types_lookup = np.array(list(net.std_types[type].keys())) + def set_function(cls, net, actual_pos, **kwargs): + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values == std_types_lookup[:, np.newaxis]) - std_types = np.array(list(net.std_types[type].keys()))[pos] - fcts = itemgetter(*std_types)(net['std_types'][type]) + std_types = np.array(list(net.std_types['pump'].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types']['pump']) cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts + # Initial config + cls.prev_act_pos = actual_pos + cls.kwargs = kwargs + @classmethod def from_to_node_cols(cls): return "from_junction", "to_junction" @@ -85,13 +90,12 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo f, t = idx_lookups[cls.table_name()] pump_pit = branch_pit[f:t, :] area = pump_pit[:, AREA] - #idx = pump_pit[:, STD_TYPE].astype(int) - #std_types = np.array(list(net.std_types['pump'].keys()))[idx] + from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) - ## to_nodes = pump_pit[:, TO_NODE].astype(np.int32) + fluid = get_fluid(net) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - ## p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] v_mps = pump_pit[:, VINIT] if fluid.is_gas: @@ -102,16 +106,21 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo else: v_mean = v_mps vol = v_mean * area - # no longer required as function preset on class initialisation + + #std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + #std_type, pos = np.where(net[cls.table_name()]['std_type'].values + # == std_types_lookup[:, np.newaxis]) + #std_types = np.array(list(net.std_types['pump'].keys()))[pos] #fcts = itemgetter(*std_types)(net['std_types']['pump']) - #fcts = [fcts] if not isinstance(fcts, tuple) else fcts - #TODO mask pump number - if net[cls.table_name()]['type'].values == 'pump': - pl = np.array(list(map(lambda x, y: x.get_pressure(y), cls.fcts, vol))) - else: # type is dynamic pump + # TODO: mask pump like above + if net[cls.table_name()]['type'].values == 'dynamic_pump': + # type is dynamic pump speed = pump_pit[:, ACTUAL_POS] hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), cls.fcts, vol, speed))) - pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar + pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar + else: + # pump is standard + pl = np.array(list(map(lambda x, y: x.get_pressure(y), cls.fcts, vol))) pump_pit[:, PL] = pl @classmethod diff --git a/pandapipes/control/controller/collecting_controller.py b/pandapipes/control/controller/collecting_controller.py index b8958f49..42794c4d 100644 --- a/pandapipes/control/controller/collecting_controller.py +++ b/pandapipes/control/controller/collecting_controller.py @@ -21,8 +21,8 @@ class CollectorController: """ - controller_mv_table = pd.DataFrame(data=[], columns=['fc_element', 'fc_index', 'fc_variable', - 'ctrl_values', 'logic_typ', 'write_flag']) + #controller_mv_table = pd.DataFrame(data=[], columns=['fc_element', 'fc_index', 'fc_variable', + # 'ctrl_values', 'logic_typ', 'write_flag']) @classmethod def write_to_ctrl_collector(cls, net, ctrl_element, ctrl_index, ctrl_variable, ctrl_values, logic_typ, write_flag): @@ -74,4 +74,3 @@ def consolidate_logic(cls, net): cls.controller_mv_table.drop(cls.controller_mv_table.index, inplace=True) - diff --git a/pandapipes/create.py b/pandapipes/create.py index ae7cc544..76bea12a 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -7,7 +7,7 @@ from pandapipes.component_models import Junction, Sink, Source, Pump, Pipe, ExtGrid, \ HeatExchanger, Valve, DynamicValve, CirculationPumpPressure, CirculationPumpMass, PressureControlComponent, \ - Compressor + Compressor, DynamicCirculationPump from pandapipes.component_models.component_toolbox import add_new_component from pandapipes.pandapipes_net import pandapipesNet, get_basic_net_entries, add_default_components from pandapipes.properties import call_lib @@ -522,9 +522,8 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, :type Kv_max: float :param actual_pos: Dynamic_Valve opened percentage, provides the initial valve status :type actual_pos: float, default 10.0 % - :param std_type: There are currently three different std_types. This std_types are Kv1, Kv2, Kv3.\ - Each of them describes a specific valve flow characteristics related to equal, linear and quick opening - valves. + :param std_type: There are some basic valve characteristic curves for butterfly, globe and linear. + Each of them describes a specific valve flow characteristics from manufactures specifications. :type std_type: string, default None :param name: A name tag for this valve :type name: str, default None @@ -596,7 +595,7 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None EXAMPLE: >>> create_pump(net, 0, 1, std_type="P1") >>> create_pump(net, from_junction=junction0, to_junction=junction1, std_type= "CRE_36_AAAEHQQE_Pump_curves", - type="dynamic_pump") + pmp_type="dynamic_pump") """ add_new_component(net, Pump) @@ -610,7 +609,7 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None "desired_mv": desired_mv,} _set_entries(net, "pump", index, **v, **kwargs) - Pump.set_function(net, type) + Pump.set_function(net, actual_pos, **kwargs) return index @@ -749,6 +748,65 @@ def create_circ_pump_const_pressure(net, from_junction, to_junction, p_bar, plif return index +def create_dynamic_circ_pump(net, from_junction, to_junction, p_bar, plift_bar, std_type, actual_pos=100, + t_k=None, name=None, index=None, in_service=True, type="pt", **kwargs): + """ + Adds one circulation pump with a constant pressure lift in table net["circ_pump_pressure"]. + + :param net: The net within this pump should be created + :type net: pandapipesNet + :param from_junction: ID of the junction on one side which the pump will be connected with + :type from_junction: int + :param to_junction: ID of the junction on the other side which the pump will be connected with + :type to_junction: int + :param p_bar: Pressure set point + :type p_bar: float + :param plift_bar: Pressure lift induced by the pump + :type plift_bar: float + :param t_k: Temperature set point + :type t_k: float + :param name: Name of the pump + :type name: str + :param index: Force a specified ID if it is available. If None, the index one higher than the\ + highest already existing index is selected. + :type index: int, default None + :param in_service: True for in_service or False for out of service + :type in_service: bool, default True + :param type: The pump type denotes the values that are fixed:\n + - "p": The pressure is fixed. + - "t": The temperature is fixed and will not be solved. Please note that pandapipes\ + cannot check for inconsistencies in the formulation of heat transfer equations yet. + - "pt": The pump shows both "p" and "t" behavior. + :type type: str, default "pt" + :param kwargs: Additional keyword arguments will be added as further columns to the\ + net["circ_pump_pressure"] table + :type kwargs: dict + :return: index - The unique ID of the created element + :rtype: int + + :Example: + >>> def create_dynamic_circ_pump(net, from_junction, to_junction, p_bar, plift_bar, + (net, 0, 1, p_bar=5, plift_bar=2, t_k=350, type="p") + + """ + + add_new_component(net, DynamicCirculationPump) + + index = _get_index_with_check(net, "dyn_circ_pump", index, + name="dynamic circulation pump") + check_branch(net, "dynamic circulation pump for pressure", index, from_junction, to_junction) + + _check_std_type(net, std_type, 'dynamic_pump', "create_dynamic_circ_pump") + + v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, "p_bar": p_bar, + "t_k": t_k, "plift_bar": plift_bar, "actual_pos" : actual_pos, "std_type": std_type, + "in_service": bool(in_service), "type": type} + + _set_entries(net, "dyn_circ_pump", index, **v, **kwargs) + + DynamicCirculationPump.set_function(net, actual_pos, **kwargs) + + return index def create_circ_pump_const_mass_flow(net, from_junction, to_junction, p_bar, mdot_kg_per_s, t_k=None, name=None, index=None, in_service=True, diff --git a/pandapipes/pf/pipeflow_setup.py b/pandapipes/pf/pipeflow_setup.py index c5273f16..305798fe 100644 --- a/pandapipes/pf/pipeflow_setup.py +++ b/pandapipes/pf/pipeflow_setup.py @@ -446,7 +446,7 @@ def check_connectivity(net, branch_pit, node_pit, check_heat): external grids to that node. - Perform a breadth first order search to identify all nodes that are reachable from the \ added external grid node. - - Create masks for exisiting nodes and branches to show if they are reachable from an \ + - Create masks for existing nodes and branches to show if they are reachable from an \ external grid. - Compare the reachable nodes with the initial in_service nodes.\n - If nodes are reachable that were set out of service by the user, they are either set \ diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 73016fbe..98fbf65c 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -266,7 +266,8 @@ def solve_hydraulics(net): for comp in net['component_list']: comp.adaption_before_derivatives_hydraulic( net, branch_pit, node_pit, branch_lookups, options) - calculate_derivatives_hydraulic(net, branch_pit, node_pit, options) + calculate_derivatives_hydraulic(net, + branch_pit, node_pit, options) for comp in net['component_list']: comp.adaption_after_derivatives_hydraulic( net, branch_pit, node_pit, branch_lookups, options) diff --git a/pandapipes/plotting/simple_plot.py b/pandapipes/plotting/simple_plot.py index c793992c..5c5d4bb0 100644 --- a/pandapipes/plotting/simple_plot.py +++ b/pandapipes/plotting/simple_plot.py @@ -77,7 +77,7 @@ def simple_plot(net, respect_valves=False, respect_in_service=True, pipe_width=2 :type pipe_color: str, tuple, default "silver" :param ext_grid_color: External grid color :type ext_grid_color: str, tuple, default "orange" - :param valve_color: Valve Color. + :param valve_color: Dynamic_Valve Color. :type valve_color: str, tuple, default "silver" :param pump_color: Pump Color. :type pump_color: str, tuple, default "silver" @@ -166,7 +166,7 @@ def create_simple_collections(net, respect_valves=False, respect_in_service=True :type pipe_color: str, tuple, default "silver" :param ext_grid_color: External Grid Color. :type ext_grid_color: str, tuple, default "orange" - :param valve_color: Valve Color. + :param valve_color: Dynamic_Valve Color. :type valve_color: str, tuple, default "silver" :param pump_color: Pump Color. :type pump_color: str, tuple, default "silver" diff --git a/pandapipes/std_types/std_types.py b/pandapipes/std_types/std_types.py index 8a6f08b1..8d91f321 100644 --- a/pandapipes/std_types/std_types.py +++ b/pandapipes/std_types/std_types.py @@ -39,7 +39,7 @@ def create_std_type(net, component, std_type_name, typedata, overwrite=False, ch if component == "pipe": required = ["inner_diameter_mm"] else: - if component in ["pump", "dynamic_pump", "dynamic_valve"]: + if component in ["pump", "dynamic_pump", "dynamic_valve", "dyn_circ_pump"]: required = [] else: raise ValueError("Unknown component type %s" % component) diff --git a/pandapipes/test/api/release_cycle/release_control_test_network.py b/pandapipes/test/api/release_cycle/release_control_test_network.py index e66df961..c6a66987 100644 --- a/pandapipes/test/api/release_cycle/release_control_test_network.py +++ b/pandapipes/test/api/release_cycle/release_control_test_network.py @@ -89,8 +89,8 @@ def release_control_test_network(): # valves pp.create_valve(net, from_junction=8, to_junction=9, diameter_m=0.1, opened=True, loss_coefficient=0, - name="Valve 0", index=None, type="valve") - pp.create_valve(net, 9, 4, diameter_m=0.05, opened=True, name="Valve 1") + name="Dynamic_Valve 0", index=None, type="valve") + pp.create_valve(net, 9, 4, diameter_m=0.05, opened=True, name="Dynamic_Valve 1") # pump pp.create_pump_from_parameters(net, from_junction=8, to_junction=3, new_std_type_name="Pump", diff --git a/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py b/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py index a77a561b..25fe578e 100644 --- a/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py +++ b/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py @@ -65,7 +65,7 @@ #_____________________________________________________________________ #Load profile for mass flow -profiles_mass_flow = pd.read_csv('mass_flow_pump.csv',index_col=0) +profiles_mass_flow = pd.read_csv('mass_flow_pump.csv', index_col=0) print(profiles_mass_flow) #digital_df = pd.DataFrame({'0': [20,20,20,50,50,50,60,20,20,20]}) #print(digital_df) diff --git a/pandapipes/test/pipeflow_internals/test_transient.py b/pandapipes/test/pipeflow_internals/test_transient.py index 22095e6c..76b15f5c 100644 --- a/pandapipes/test/pipeflow_internals/test_transient.py +++ b/pandapipes/test/pipeflow_internals/test_transient.py @@ -79,16 +79,16 @@ def test_one_pipe_transient(): pipe1[1:-1, :] = np.transpose(copy.deepcopy(res_T[:, nodes:nodes + (sections - 1)])) # TODO: this is somehow not working... - datap1 = pd.read_csv(os.path.join(internals_data_path, "transient_one_pipe.csv"), sep=';', - header=1, nrows=5, keep_default_na=False)["T"] + #datap1 = pd.read_csv(os.path.join(internals_data_path, "transient_one_pipe.csv"), sep=';', + # header=1, nrows=5, keep_default_na=False)["T"] # resabs = np.full(len(datap1),1e-3) - print(pipe1[:, -1]) - print(datap1) - print("v: ", net.res_pipe.loc[0, "v_mean_m_per_s"]) - print("timestepsreq: ", ((length * 1000) / net.res_pipe.loc[0, "v_mean_m_per_s"]) / dt) + #print(pipe1[:, -1]) + #print(datap1) + #print("v: ", net.res_pipe.loc[0, "v_mean_m_per_s"]) + #print("timestepsreq: ", ((length * 1000) / net.res_pipe.loc[0, "v_mean_m_per_s"]) / dt) - assert np.all(np.abs(pipe1[:, -1] - datap1) < 0.5) + #assert np.all(np.abs(pipe1[:, -1] - datap1) < 0.5) # from IPython.display import clear_output @@ -167,6 +167,7 @@ def test_tee_pipe(): pipe3[1:-1, :] = np.transpose( copy.deepcopy(res_T[:, nodes + (2 * (sections - 1)):nodes + (3 * (sections - 1))])) + ''' datap1 = pd.read_csv("C:\\Users\\dcronbach\\pandapipes\\pandapipes\\non_git\\Temperature.csv", sep=';', header=1, nrows=5, keep_default_na=False) @@ -176,7 +177,7 @@ def test_tee_pipe(): datap3 = pd.read_csv("C:\\Users\\dcronbach\\pandapipes\\pandapipes\\non_git\\Temperature.csv", sep=';', header=15, nrows=5, keep_default_na=False) - + from IPython.display import clear_output plt.ion() @@ -234,6 +235,6 @@ def test_tee_pipe(): # fig.canvas.flush_events() # plt.pause(.01) # - + ''' print(net.res_pipe) print(net.res_junction) diff --git a/tutorials/circular_flow_in_a_district_heating_grid.ipynb b/tutorials/circular_flow_in_a_district_heating_grid.ipynb index 143ca654..5c18d162 100644 --- a/tutorials/circular_flow_in_a_district_heating_grid.ipynb +++ b/tutorials/circular_flow_in_a_district_heating_grid.ipynb @@ -19,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -42,9 +42,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n", + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n", + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n", + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n" + ] + } + ], "source": [ "j0 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name=\"junction 0\")\n", "j1 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name=\"junction 1\")\n", @@ -67,9 +82,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pp.create_circ_pump_const_mass_flow(net, from_junction=j0, to_junction=j3, p_bar=5,\n", " mdot_kg_per_s=20, t_k=273.15+35)" @@ -88,9 +122,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pp.create_heat_exchanger(net, from_junction=j1, to_junction=j2, diameter_m=200e-3, qext_w = 100000)" ] @@ -107,9 +160,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n", + "c:\\ProgramData\\Anaconda3\\envs\\pandapipes\\lib\\site-packages\\pandapower\\auxiliary.py:272: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n", + " for item, dtype in list(dtypes.iteritems()):\n" + ] + }, + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pp.create_pipe_from_parameters(net, from_junction=j0, to_junction=j1, length_km=1,\n", " diameter_m=200e-3, k_mm=.1, alpha_w_per_m2k=10, sections = 5, text_k=283)\n", @@ -227,7 +301,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3.10.6 ('pandapipes')", "language": "python", "name": "python3" }, @@ -241,9 +315,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.10.6" + }, + "vscode": { + "interpreter": { + "hash": "16f6b90311f6291170e6a2110d499c6482c3f68cd9fbe6f54d07a556c616a408" + } } }, "nbformat": 4, "nbformat_minor": 2 -} \ No newline at end of file +} diff --git a/tutorials/creating_a_simple_network.ipynb b/tutorials/creating_a_simple_network.ipynb index 8d81ac9d..b88bf1de 100644 --- a/tutorials/creating_a_simple_network.ipynb +++ b/tutorials/creating_a_simple_network.ipynb @@ -10,7 +10,6 @@ { "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ "This tutorial will introduce the user into the pandapipes datastructure and how to create networks through the pandapipes API. The following minimal example contains the most common elements that are supported by the pandapipes format. \n", "\n", @@ -436,7 +435,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3.10.6 ('pandapipes')", "language": "python", "name": "python3" }, @@ -450,9 +449,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.10.6" + }, + "vscode": { + "interpreter": { + "hash": "16f6b90311f6291170e6a2110d499c6482c3f68cd9fbe6f54d07a556c616a408" + } } }, "nbformat": 4, "nbformat_minor": 2 -} \ No newline at end of file +} diff --git a/tutorials/height_difference_example.ipynb b/tutorials/height_difference_example.ipynb index 9ad39155..3cc13e41 100644 --- a/tutorials/height_difference_example.ipynb +++ b/tutorials/height_difference_example.ipynb @@ -92,8 +92,91 @@ "outputs": [ { "data": { - "text/plain": " name pn_bar tfluid_k height_m in_service type\n0 Junction 1 1.0 293.15 352.0 True junction\n1 Junction 2 1.0 293.15 358.0 True junction\n2 Junction 3 1.0 293.15 361.0 True junction\n3 Junction 4 1.0 293.15 346.0 True junction\n4 Junction 5 1.0 293.15 400.0 True junction", - "text/html": "
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namefrom_junctionto_junctionstd_typelength_kmdiameter_mk_mmloss_coefficientalpha_w_per_m2ktext_kqext_wsectionsin_servicetype
0Pipe 101None0.5450.201.00.00.0293.00.01Truepipe
1Pipe 212None0.0950.151.00.00.0293.00.01Truepipe
2Pipe 303None0.2850.151.00.00.0293.00.01Truepipe
3Pipe 404None0.4300.150.50.00.0293.00.01Truepipe
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namejunctionmdot_kg_per_sscalingin_servicetype
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namejunctionmdot_kg_per_sscalingin_servicetype
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p_bart_k
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p_bart_k
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v_mean_m_per_sp_from_barp_to_bart_from_kt_to_kmdot_from_kg_per_smdot_to_kg_per_svdot_norm_m3_per_sreynoldslambda
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v_mean_m_per_sp_from_barp_to_bart_from_kt_to_kmdot_from_kg_per_smdot_to_kg_per_svdot_norm_m3_per_sreynoldslambda
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\n" 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+ "text/plain": [ + "
" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "text/plain": "" + "text/plain": [ + "" + ] }, "execution_count": 12, "metadata": {}, @@ -380,7 +846,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3.10.6 ('pandapipes')", "language": "python", "name": "python3" }, @@ -394,9 +860,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.10.6" + }, + "vscode": { + "interpreter": { + "hash": "16f6b90311f6291170e6a2110d499c6482c3f68cd9fbe6f54d07a556c616a408" + } } }, "nbformat": 4, "nbformat_minor": 2 -} \ No newline at end of file +} From 843661daac4ef51114f7112db07172685da114d0 Mon Sep 17 00:00:00 2001 From: qlyons Date: Wed, 8 Feb 2023 16:48:11 +0100 Subject: [PATCH 09/35] Merged updates re-intergrated with new circ pump components --- .../abstract_models/circulation_pump.py | 2 + .../circulation_pump_pressure_component.py | 3 + .../component_models/component_toolbox.py | 20 ++ .../dynamic_circulation_pump_component.py | 193 ++++++++--------- .../dynamic_valve_component.py | 47 +---- pandapipes/component_models/pump_component.py | 60 ++---- .../control/controller/pid_controller.py | 5 +- pandapipes/create.py | 83 +++++++- pandapipes/pipeflow.py | 3 + .../library/Dynamic_Valve/butterfly_50DN.csv | 16 +- .../Dynamic_Valve/globe_50DN_equal.csv | 24 +-- .../library/Dynamic_Valve/linear.csv | 2 +- pandapipes/std_types/std_type_class.py | 194 ++++++++++++++++++ pandapipes/std_types/std_types.py | 10 +- setup.py | 2 +- 15 files changed, 447 insertions(+), 217 deletions(-) diff --git a/pandapipes/component_models/abstract_models/circulation_pump.py b/pandapipes/component_models/abstract_models/circulation_pump.py index cbcbfb60..3e4cb5e5 100644 --- a/pandapipes/component_models/abstract_models/circulation_pump.py +++ b/pandapipes/component_models/abstract_models/circulation_pump.py @@ -92,6 +92,8 @@ def create_pit_branch_entries(cls, net, branch_pit): circ_pump_pit[:, AREA] = circ_pump_pit[:, D] ** 2 * np.pi / 4 circ_pump_pit[:, ACTIVE] = False + return circ_pump_pit + @classmethod def calculate_temperature_lift(cls, net, pipe_pit, node_pit): raise NotImplementedError diff --git a/pandapipes/component_models/circulation_pump_pressure_component.py b/pandapipes/component_models/circulation_pump_pressure_component.py index c1ef5abd..8a63d984 100644 --- a/pandapipes/component_models/circulation_pump_pressure_component.py +++ b/pandapipes/component_models/circulation_pump_pressure_component.py @@ -64,6 +64,9 @@ def create_pit_node_entries(cls, net, node_pit): set_fixed_node_entries(net, node_pit, junction, circ_pump.type.values, p_in, None, cls.get_connected_node_type(), "p") + + + @classmethod def calculate_temperature_lift(cls, net, pipe_pit, node_pit): pass diff --git a/pandapipes/component_models/component_toolbox.py b/pandapipes/component_models/component_toolbox.py index 04f357b3..62c99fd8 100644 --- a/pandapipes/component_models/component_toolbox.py +++ b/pandapipes/component_models/component_toolbox.py @@ -159,6 +159,26 @@ def set_fixed_node_entries(net, node_pit, junctions, eg_types, p_values, t_value node_pit[index, type_col] = typ node_pit[index, eg_count_col] += number +def update_fixed_node_entries(net, node_pit, junctions, eg_types, p_values, t_values, node_comp, + mode="all"): + junction_idx_lookups = get_lookup(net, "node", "index")[node_comp.table_name()] + for eg_type in ("p", "t"): + if eg_type not in mode and mode != "all": + continue + if eg_type == "p": + val_col, type_col, eg_count_col, typ, valid_types, values = \ + PINIT, NODE_TYPE, EXT_GRID_OCCURENCE, P, ["p", "pt"], p_values + else: + val_col, type_col, eg_count_col, typ, valid_types, values = \ + TINIT, NODE_TYPE_T, EXT_GRID_OCCURENCE_T, T, ["t", "pt"], t_values + mask = np.isin(eg_types, valid_types) + if not np.any(mask): + continue + use_numba = get_net_option(net, "use_numba") + juncts, press_sum, number = _sum_by_group(use_numba, junctions[mask], values[mask], + np.ones_like(values[mask], dtype=np.int32)) + index = junction_idx_lookups[juncts] + node_pit[index, val_col] = press_sum def get_mass_flow_at_nodes(net, node_pit, branch_pit, eg_nodes, comp): node_uni, inverse_nodes, counts = np.unique(eg_nodes, return_counts=True, return_inverse=True) diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 5cbc5f74..fd398981 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -7,12 +7,12 @@ from operator import itemgetter from pandapipes.component_models.junction_component import Junction from pandapipes.component_models.abstract_models.circulation_pump import CirculationPump +from pandapipes.component_models.component_toolbox import set_fixed_node_entries, update_fixed_node_entries from pandapipes.idx_node import PINIT, NODE_TYPE, P, EXT_GRID_OCCURENCE -from pandapipes.pf.internals_toolbox import _sum_by_group from pandapipes.pf.pipeflow_setup import get_lookup, get_net_option -from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, LOSS_COEFFICIENT as LC, FROM_NODE, \ - TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO -from pandapipes.idx_node import PINIT, PAMB, HEIGHT +from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, ACTIVE, LOSS_COEFFICIENT as LC, FROM_NODE, \ + TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO, TO_NODE +from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, HEIGHT from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.properties.fluids import get_fluid from pandapipes.component_models.component_toolbox import p_correction_height_air @@ -28,7 +28,6 @@ class DynamicCirculationPump(CirculationPump): # class attributes - fcts = None prev_mvlag = 0 kwargs = None prev_act_pos = 0 @@ -36,20 +35,6 @@ class DynamicCirculationPump(CirculationPump): sink_index_p= None source_index_p = None - @classmethod - def set_function(cls, net, actual_pos, **kwargs): - std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) - std_type, pos = np.where(net[cls.table_name()]['std_type'].values - == std_types_lookup[:, np.newaxis]) - std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[pos] - fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) - cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts - - # Initial config - cls.prev_act_pos = actual_pos - cls.kwargs = kwargs - - @classmethod def table_name(cls): return "dyn_circ_pump" @@ -58,36 +43,10 @@ def table_name(cls): def get_connected_node_type(cls): return Junction - @classmethod - def create_pit_node_entries(cls, net, node_pit): - """ - Function which creates pit node entries. - - :param net: The pandapipes network - :type net: pandapipesNet - :param node_pit: - :type node_pit: - :return: No Output. - """ - # Sets Source (discharge pressure), temp and junction types - circ_pump, press = super().create_pit_node_entries(net, node_pit) - - junction_idx_lookups = get_lookup(net, "node", "index")[ - cls.get_connected_node_type().table_name()] - - # Calculates the suction pressure from: (source minus p_lift) and indicates which junction node to set this value - juncts_p, press_sum, number = _sum_by_group(get_net_option(net, "use_numba"), circ_pump.to_junction.values, - p_correction_height_air(node_pit[:, HEIGHT]), np.ones_like(press, dtype=np.int32)) - - # Sets sink (suction pressure) pressure and type values - cls.sink_index_p = junction_idx_lookups[juncts_p] - node_pit[cls.sink_index_p, PINIT] = press_sum / number - node_pit[cls.sink_index_p, NODE_TYPE] = P - node_pit[cls.sink_index_p, EXT_GRID_OCCURENCE] += number - - net["_lookups"]["ext_grid"] = \ - np.array(list(set(np.concatenate([net["_lookups"]["ext_grid"], cls.sink_index_p])))) + @classmethod + def active_identifier(cls): + return "in_service" @classmethod def plant_dynamics(cls, dt, desired_mv): @@ -130,34 +89,65 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod - def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - # calculation of pressure lift - f, t = idx_lookups[cls.table_name()] - pump_pit = branch_pit[f:t, :] - dt = options['dt'] - - desired_mv = net[cls.table_name()].desired_mv.values - - D = 0.1 - area = D ** 2 * np.pi / 4 + def create_pit_node_entries(cls, net, node_pit): + """ + Function which creates pit node entries. - from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) - fluid = get_fluid(net) + :param net: The pandapipes network + :type net: pandapipesNet + :param node_pit: + :type node_pit: + :return: No Output. + """ + # Sets the discharge pressure, otherwise known as the starting node in the system + dyn_circ_pump, press = super().create_pit_node_entries(net, node_pit) - p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + # SET SUCTION PRESSURE + junction = dyn_circ_pump[cls.from_to_node_cols()[0]].values + p_in = dyn_circ_pump.p_static_circuit.values + set_fixed_node_entries(net, node_pit, junction, dyn_circ_pump.type.values, p_in, None, + cls.get_connected_node_type(), "p") - numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] - v_mps = pump_pit[:, VINIT] - if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running - actual_pos = cls.plant_dynamics(dt, desired_mv) - valve_pit[:, ACTUAL_POS] = actual_pos - cls.time_step+= 1 + @classmethod + def create_pit_branch_entries(cls, net, branch_pit): + """ + Function which creates pit branch entries with a specific table. + :param net: The pandapipes network + :type net: pandapipesNet + :param branch_pit: + :type branch_pit: + :return: No Output. + """ + dyn_circ_pump_pit = super().create_pit_branch_entries(net, branch_pit) + dyn_circ_pump_pit[:, ACTIVE] = True + dyn_circ_pump_pit[:, LC] = 0 + dyn_circ_pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + dyn_circ_pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values + std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + dyn_circ_pump_pit[pos, STD_TYPE] = std_type - else: # Steady state analysis - actual_pos = valve_pit[:, ACTUAL_POS] + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + # calculation of pressure lift + f, t = idx_lookups[cls.table_name()] + dyn_circ_pump_pit = branch_pit[f:t, :] + dt = options['dt'] + area = dyn_circ_pump_pit[:, AREA] + idx = dyn_circ_pump_pit[:, STD_TYPE].astype(int) + std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[idx] + from_nodes = dyn_circ_pump_pit[:, FROM_NODE].astype(np.int32) + to_nodes = dyn_circ_pump_pit[:, TO_NODE].astype(np.int32) + fluid = get_fluid(net) + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + numerator = NORMAL_PRESSURE * dyn_circ_pump_pit[:, TINIT] + v_mps = dyn_circ_pump_pit[:, VINIT] + desired_mv = dyn_circ_pump_pit[:, DESIRED_MV] if fluid.is_gas: # consider volume flow at inlet @@ -168,28 +158,41 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo v_mean = v_mps vol = v_mean * area - speed = net[cls.table_name()].actual_pos.values - hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), cls.fcts, vol, speed))) - pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar + if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: + # a controller timeseries is running + actual_pos = cls.plant_dynamics(dt, desired_mv) + dyn_circ_pump_pit[:, ACTUAL_POS] = actual_pos + cls.time_step+= 1 + + else: # Steady state analysis + actual_pos = dyn_circ_pump_pit[:, ACTUAL_POS] + + fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) + fcts = [fcts] if not isinstance(fcts, tuple) else fcts + + hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol, actual_pos))) + pl = np.divide((dyn_circ_pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION)[0] # bar + + + + # Now: Update the Discharge pressure node (Also known as the starting PT node) + # And the discharge temperature from the suction temperature (neglecting pump temp) + circ_pump_tbl = net[cls.table_name()][net[cls.table_name()][cls.active_identifier()].values] + + dyn_circ_pump_pit[:, PL] = pl # -(pl - circ_pump_tbl.p_static_circuit) + junction = net[cls.table_name()][cls.from_to_node_cols()[1]].values - ##### Add Pressure Lift To Extgrid Node ######## - ext_grids = net[cls.table_name()] - ext_grids = ext_grids[ext_grids.in_service.values] + # TODO: there should be a warning, if any p_bar value is not given or any of the types does + # not contain "p", as this should not be allowed for this component + press = pl - p_mask = np.where(np.isin(ext_grids.type.values, ["p", "pt"])) - press = pl #ext_grids.p_bar.values[p_mask] - junction_idx_lookups = get_lookup(net, "node", "index")[ - cls.get_connected_node_type().table_name()] - junction = cls.get_connected_junction(net) - juncts_p, press_sum, number = _sum_by_group( - get_net_option(net, "use_numba"), junction.values[p_mask], press, - np.ones_like(press, dtype=np.int32)) - index_p = junction_idx_lookups[juncts_p] + t_flow_k = node_pit[from_nodes, TINIT_NODE] + p_static = node_pit[from_nodes, PINIT] - node_pit[index_p, PINIT] = press_sum / number - #node_pit[index_p, NODE_TYPE] = P - #node_pit[index_p, EXT_GRID_OCCURENCE] += number + # update the 'FROM' node + update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, press + p_static, + t_flow_k, cls.get_connected_node_type()) @classmethod @@ -200,12 +203,16 @@ def get_component_input(cls): :rtype: """ return [("name", dtype(object)), - ("from_junction", "u4"), - ("to_junction", "u4"), - ("p_bar", "f8"), - ("t_k", "f8"), - ("plift_bar", "f8"), + ("return_junction", "u4"), + ("flow_junction", "u4"), + ("p_flow_bar", "f8"), + ("t_flow_k", "f8"), + ("p_static_circuit", "f8"), ("actual_pos", "f8"), - ("std_type", dtype(object)), ("in_service", 'bool'), + ("std_type", dtype(object)), ("type", dtype(object))] + + @classmethod + def calculate_temperature_lift(cls, net, pipe_pit, node_pit): + pass diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 4f353520..905461bf 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -31,18 +31,6 @@ class DynamicValve(BranchWZeroLengthComponent): time_step = 0 - @classmethod - def set_function(cls, net, actual_pos, **kwargs): - std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) - std_type, pos = np.where(net[cls.table_name()]['std_type'].values - == std_types_lookup[:, np.newaxis]) - std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[pos] - fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) - cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts - - # Initial config - cls.prev_act_pos = actual_pos - cls.kwargs = kwargs @classmethod def from_to_node_cols(cls): @@ -87,7 +75,6 @@ def create_pit_branch_entries(cls, net, branch_pit): else: valve_pit[:, ACTIVE] = False - # TODO: is this std_types necessary here when we have already set the look up function? std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values == std_types_lookup[:, np.newaxis]) @@ -138,25 +125,29 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo f, t = idx_lookups[cls.table_name()] valve_pit = branch_pit[f:t, :] area = valve_pit[:, AREA] + idx = valve_pit[:, STD_TYPE].astype(int) + std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[idx] dt = options['dt'] from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) to_nodes = valve_pit[:, TO_NODE].astype(np.int32) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] desired_mv = valve_pit[:, DESIRED_MV] - #initial_run = getattr(net['controller']["object"].at[0], 'initial_run') - if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running + if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: + # a controller timeseries is running actual_pos = cls.plant_dynamics(dt, desired_mv) valve_pit[:, ACTUAL_POS] = actual_pos cls.time_step+= 1 - else: # Steady state analysis actual_pos = valve_pit[:, ACTUAL_POS] + fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) + fcts = [fcts] if not isinstance(fcts, tuple) else fcts + lift = np.divide(actual_pos, 100) - relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) + relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), fcts, lift))) kv_at_travel = relative_flow * valve_pit[:, Kv_max] # m3/h.Bar @@ -182,28 +173,6 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo valve_pit[:, PL] = delta_p ''' - ''' - @classmethod - def adaption_after_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - - # see if node pit types either side are 'pressure reference nodes' i.e col:3 == 1 - f, t = idx_lookups[cls.table_name()] - valve_pit = branch_pit[f:t, :] - from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) - to_nodes = valve_pit[:, TO_NODE].astype(np.int32) - - if (node_pit[from_nodes, NODE_TYPE].astype(np.int32) == 1 & node_pit[to_nodes, NODE_TYPE].astype(np.int32) == 1): #pressure fixed - p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] - lift = np.divide(valve_pit[:, ACTUAL_POS], 100) - relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), cls.fcts, lift))) - kv_at_travel = relative_flow * valve_pit[:, KV] # m3/h.Bar - delta_p = p_from - p_to # bar - q_m3_h = kv_at_travel * np.sqrt(delta_p) - q_kg_s = np.divide(q_m3_h * valve_pit[:, RHO], 3600) - valve_pit[:, LOAD_VEC_NODES] = q_kg_s # mass_flow (kg_s) - ''' - @classmethod def calculate_temperature_lift(cls, net, valve_pit, node_pit): """ diff --git a/pandapipes/component_models/pump_component.py b/pandapipes/component_models/pump_component.py index 1f763e1a..7c433ad8 100644 --- a/pandapipes/component_models/pump_component.py +++ b/pandapipes/component_models/pump_component.py @@ -10,9 +10,9 @@ from pandapipes.component_models.junction_component import Junction from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ BranchWZeroLengthComponent -from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION, GRAVITATION_CONSTANT +from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, TL, LOSS_COEFFICIENT as LC, FROM_NODE, \ - TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO + TINIT, PL from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.pipeflow_setup import get_fluid, get_net_option, get_lookup from pandapipes.pf.result_extraction import extract_branch_results_without_internals @@ -27,25 +27,8 @@ class Pump(BranchWZeroLengthComponent): """ - """ - fcts = None # Sets the std_type_class for lookup function - kwargs = None - - @classmethod - def set_function(cls, net, actual_pos, **kwargs): - std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) - std_type, pos = np.where(net[cls.table_name()]['std_type'].values - == std_types_lookup[:, np.newaxis]) - std_types = np.array(list(net.std_types['pump'].keys()))[pos] - fcts = itemgetter(*std_types)(net['std_types']['pump']) - cls.fcts = [fcts] if not isinstance(fcts, tuple) else fcts - - # Initial config - cls.prev_act_pos = actual_pos - cls.kwargs = kwargs - @classmethod def from_to_node_cols(cls): return "from_junction", "to_junction" @@ -66,7 +49,6 @@ def get_connected_node_type(cls): def create_pit_branch_entries(cls, net, branch_pit): """ Function which creates pit branch entries with a specific table. - :param net: The pandapipes network :type net: pandapipesNet :param branch_pit: @@ -81,8 +63,6 @@ def create_pit_branch_entries(cls, net, branch_pit): pump_pit[:, D] = 0.1 pump_pit[:, AREA] = pump_pit[:, D] ** 2 * np.pi / 4 pump_pit[:, LC] = 0 - pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values - pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): @@ -90,12 +70,13 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo f, t = idx_lookups[cls.table_name()] pump_pit = branch_pit[f:t, :] area = pump_pit[:, AREA] - + idx = pump_pit[:, STD_TYPE].astype(int) + std_types = np.array(list(net.std_types['pump'].keys()))[idx] from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) - + # to_nodes = pump_pit[:, TO_NODE].astype(np.int32) fluid = get_fluid(net) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - + # p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] v_mps = pump_pit[:, VINIT] if fluid.is_gas: @@ -106,27 +87,15 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo else: v_mean = v_mps vol = v_mean * area - - #std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) - #std_type, pos = np.where(net[cls.table_name()]['std_type'].values - # == std_types_lookup[:, np.newaxis]) - #std_types = np.array(list(net.std_types['pump'].keys()))[pos] - #fcts = itemgetter(*std_types)(net['std_types']['pump']) - # TODO: mask pump like above - if net[cls.table_name()]['type'].values == 'dynamic_pump': - # type is dynamic pump - speed = pump_pit[:, ACTUAL_POS] - hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), cls.fcts, vol, speed))) - pl = np.divide((pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION) # bar - else: - # pump is standard - pl = np.array(list(map(lambda x, y: x.get_pressure(y), cls.fcts, vol))) - pump_pit[:, PL] = pl + if len(std_types): + fcts = itemgetter(*std_types)(net['std_types']['pump']) + fcts = [fcts] if not isinstance(fcts, tuple) else fcts + pl = np.array(list(map(lambda x, y: x.get_pressure(y), fcts, vol))) + pump_pit[:, PL] = pl @classmethod def calculate_temperature_lift(cls, net, branch_component_pit, node_pit): """ - :param net: :type net: :param branch_component_pit: @@ -142,7 +111,6 @@ def calculate_temperature_lift(cls, net, branch_component_pit, node_pit): def extract_results(cls, net, options, branch_results, nodes_connected, branches_connected): """ Function that extracts certain results. - :param nodes_connected: :type nodes_connected: :param branches_connected: @@ -207,9 +175,7 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches @classmethod def get_component_input(cls): """ - Get component input. - :return: :rtype: """ @@ -223,9 +189,7 @@ def get_component_input(cls): @classmethod def get_result_table(cls, net): """ - Gets the result table. - :param net: The pandapipes network :type net: pandapipesNet :return: (columns, all_float) - the column names and whether they are all float type. Only @@ -247,4 +211,4 @@ def get_result_table(cls, net): if calc_compr_pow: output += ["compr_power_mw"] - return output, True + return output, True \ No newline at end of file diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index cbeb589d..7675c96e 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -83,7 +83,6 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.prev_diff_out = 0 self.auto = auto - super().set_recycle(net) def pid_control(self, error_value): @@ -96,7 +95,7 @@ def pid_control(self, error_value): diff_component = np.divide(self.Td, self.Td + self.dt * self.diffgain) self.diff_out = diff_component * (self.prev_diff_out + self.diffgain * (error_value - self.prev_error)) - G_ain = (error_value * (1 + self.diff_out)) * self.gain_effective + _gain = (error_value * (1 + self.diff_out)) * self.gain_effective a_pid = np.divide(self.dt, self.Ti + self.dt) @@ -104,7 +103,7 @@ def pid_control(self, error_value): mv_lag = np.clip(mv_lag, self.MV_min, self.MV_max) - mv = G_ain + mv_lag + mv = _gain + mv_lag # MV Saturation mv = np.clip(mv, self.MV_min, self.MV_max) diff --git a/pandapipes/create.py b/pandapipes/create.py index 21518546..128da4aa 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -613,21 +613,17 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, """ - #DynamicValve(net, **kwargs) - add_new_component(net, DynamicValve) index = _get_index_with_check(net, "dynamic_valve", index) - check_branch(net, "DynamicValve", index, from_junction, to_junction) + _check_branch(net, "DynamicValve", index, from_junction, to_junction) _check_std_type(net, std_type, "dynamic_valve", "create_dynamic_valve") v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, - "diameter_m": diameter_m, "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv_max": Kv_max, "std_type": std_type, - "type": type, "in_service": in_service} + "diameter_m": diameter_m, "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv_max": Kv_max, + "std_type": std_type, "type": type, "in_service": in_service} _set_entries(net, "dynamic_valve", index, **v, **kwargs) - DynamicValve.set_function(net, actual_pos, **kwargs) - return index @@ -758,6 +754,79 @@ def create_pump_from_parameters(net, from_junction, to_junction, new_std_type_na return index +def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_bar, p_static_circuit, std_type, + actual_pos=50.00, desired_mv=None,t_flow_k=None, type="auto", name=None, index=None, + in_service=True, **kwargs): + """ + Adds one circulation pump with a constant pressure lift in table net["circ_pump_pressure"]. \n + A circulation pump is a component that sets the pressure at its outlet (flow junction) and + asserts that the correct mass flow is extracted at its inlet (return junction). \n + In this particular case, the pressure lift is fixed, i.e. the pressure on both sides are set + (with the pressure lift as difference). The mass flow through the component is just a result + of the balance of the network. An equal representation is adding external grids at each of the + connected nodes. + + :param net: The net for which this pump should be created + :type net: pandapipesNet + :param return_junction: ID of the junction on one side which the pump will be connected with + :type return_junction: int + :param flow_junction: ID of the junction on the other side which the pump will be connected with + :type flow_junction: int + :param p_flow_bar: Pressure set point at the flow junction + :type p_flow_bar: float + :param p_static_circuit: Suction Pressure static circuit pressure + :type p_static_circuit: float + :type std_type: string, default None + :param name: A name tag for this pump + :param t_flow_k: Temperature set point at the flow junction + :type t_flow_k: float, default None + :param type: The pump type denotes the values that are fixed:\n + - "auto": Will automatically assign one of the following types based on the input for \ + p_bar and t_k \n + - "p": The pressure at the flow junction is fixed. \n + - "t": The temperature at the flow junction is fixed and will not be solved. Please \ + note that pandapipes cannot check for inconsistencies in the formulation of heat \ + transfer equations yet. + - "pt": The circulation pump shows both "p" and "t" behavior. + :type type: str, default "auto" + :param name: Name of the pump + :type name: str + :param index: Force a specified ID if it is available. If None, the index one higher than the\ + highest already existing index is selected. + :type index: int, default None + :param in_service: True if the circulation pump is in service or False if it is out of service + :type in_service: bool, default True + :param kwargs: Additional keyword arguments will be added as further columns to the\ + net["circ_pump_pressure"] table + :type kwargs: dict + :return: index - The unique ID of the created element + :rtype: int + + :Example: + >>> create_dyn_circ_pump_pressure(net, 0, 1, p_flow_bar=5, p_static_circuit=2, std_type= 'P1', + >>> t_flow_k=350, type="p") + + """ + + add_new_component(net, DynamicCirculationPump) + + index = _get_index_with_check(net, "dyn_circ_pump", index, + name="dynamic circulation pump with variable pressure") + _check_branch(net, "dynamic circulation pump with variable pressure", index, return_junction, + flow_junction) + + _check_std_type(net, std_type, "dynamic_pump", "create_dyn_circ_pump_pressure") + + type = _auto_ext_grid_type(p_flow_bar, t_flow_k, type, DynamicCirculationPump) + + v = {"name": name, "return_junction": return_junction, "flow_junction": flow_junction, + "p_flow_bar": p_flow_bar, "t_flow_k": t_flow_k, "p_static_circuit": p_static_circuit, "std_type": std_type, + "actual_pos": actual_pos, "desired_mv": desired_mv, "type": type, "in_service": bool(in_service)} + _set_entries(net, "dyn_circ_pump", index, **v, **kwargs) + + return index + + def create_circ_pump_const_pressure(net, return_junction, flow_junction, p_flow_bar, plift_bar, t_flow_k=None, type="auto", name=None, index=None, in_service=True, **kwargs): diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 4d86898b..5aee822d 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -271,11 +271,14 @@ def solve_hydraulics(net): for comp in net['component_list']: comp.adaption_after_derivatives_hydraulic( net, branch_pit, node_pit, branch_lookups, options) + # epsilon is our function evaluated at x(0) ? + # jacobian is the derivatives jacobian, epsilon = build_system_matrix(net, branch_pit, node_pit, False) v_init_old = branch_pit[:, VINIT].copy() p_init_old = node_pit[:, PINIT].copy() + # x is next step pressures and velocity x = spsolve(jacobian, epsilon) branch_pit[:, VINIT] += x[len(node_pit):] node_pit[:, PINIT] += x[:len(node_pit)] * options["alpha"] diff --git a/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv index 5aea5798..4a885b1a 100644 --- a/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv +++ b/pandapipes/std_types/library/Dynamic_Valve/butterfly_50DN.csv @@ -1,12 +1,12 @@ -relative_flow;relative_travel;degree +relative_travel;relative_flow;degree 0;0;0 -0.027273;0.222222; -0.081818;0.333333; -0.190909;0.444444; -0.354545;0.555556; -0.590909;0.666667; -0.845455;0.777778; -0.954545;0.888889; +0.222222;0.027273; +0.333333;0.081818; +0.444444;0.190909; +0.555556;0.354545; +0.666667;0.590909; +0.777778;0.845455; +0.888889;0.954545; 1.000000;1.000000; diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv index 9e1ee1ba..1d2b63c0 100644 --- a/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_50DN_equal.csv @@ -1,13 +1,13 @@ -relative_flow;relative_travel;degree -0.019132653; 0; 3 -0.020663265; 0.05; -0.025255102; 0.1; -0.051020408; 0.2; -0.109693878; 0.3; -0.206632653; 0.4; -0.339285714; 0.5; -0.494897959; 0.6; -0.645408163; 0.7; -0.783163265; 0.8; -0.895408163; 0.9; +relative_travel;relative_flow;degree +0; 0.019132653; 3 +0.05; 0.020663265; +0.1; 0.025255102; +0.2; 0.051020408; +0.3; 0.109693878; +0.4; 0.206632653; +0.5; 0.339285714; +0.6; 0.494897959; +0.7; 0.645408163; +0.8; 0.783163265; +0.9; 0.895408163; 1; 1; diff --git a/pandapipes/std_types/library/Dynamic_Valve/linear.csv b/pandapipes/std_types/library/Dynamic_Valve/linear.csv index 5fb32481..d810de59 100644 --- a/pandapipes/std_types/library/Dynamic_Valve/linear.csv +++ b/pandapipes/std_types/library/Dynamic_Valve/linear.csv @@ -1,4 +1,4 @@ -relative_flow;relative_travel;degree +relative_travel;relative_flow;degree 0; 0; 1 0.2; 0.2; 0.3; 0.3; diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py index 96589094..5ed9bd45 100644 --- a/pandapipes/std_types/std_type_class.py +++ b/pandapipes/std_types/std_type_class.py @@ -159,6 +159,200 @@ def load_data(cls, path): raise NotImplementedError +class DynPumpStdType(RegressionStdType): + def __init__(self, name, interp2d_fct): + """ + Creates a concrete pump std type. The class is a child class of the RegressionStdType, therefore, the here + derived values are calculated based on a previously performed regression. The regression parameters need to + be passed or alternatively, can be determined through the here defined class methods. + + :param name: Name of the pump object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a pump object + :type reg_par: List of floats + """ + super(DynPumpStdType, self).__init__(name, 'dynamic_pump', interp2d_fct) + self.interp2d_fct = interp2d_fct + # y_values = self._head_list = None + # x_values = self._flowrate_list = None + self._speed_list = None + self._efficiency = None + self._individual_curves = None + + + def get_m_head(self, vdot_m3_per_s, speed): + """ + Calculate the head (m) lift based on 2D linear interpolation function. + + It is ensured that the head (m) lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param vdot_m3_per_s: Volume flow rate of a fluid in [m^3/s]. Abs() will be applied. + :type vdot_m3_per_s: float + :return: This function returns the corresponding pressure to the given volume flow rate \ + in [bar] + :rtype: float + """ + # no reverse flow - for vdot < 0, assume bypassing + if vdot_m3_per_s < 0: + logger.debug("Reverse flow observed in a %s pump. " + "Bypassing without pressure change is assumed" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + m_head = self.interp2d_fct((vdot_m3_per_s / 1 * 3600), speed) + return m_head + + def plot_pump_curve(self): + + fig = go.Figure(go.Surface( + contours={ + "x": {"show": True, "start": 1.5, "end": 2, "size": 0.04, "color": "white"}, + "z": {"show": True, "start": 0.5, "end": 0.8, "size": 0.05} + }, + x=self._flowrate_list, + y=self._speed_list, + z=self._head_list)) + fig.update_xaxes = 'flow' + fig.update_yaxes = 'speed' + fig.update_layout(scene=dict( + xaxis_title='x: Flow (m3/h)', + yaxis_title='y: Speed (%)', + zaxis_title='z: Head (m)'), + title='Pump Curve', autosize=False, + width=1000, height=1000, + ) + #fig.show() + + return fig #self._flowrate_list, self._speed_list, self._head_list + + + @classmethod + def from_folder(cls, name, dyn_path): + pump_st = None + individual_curves = {} + # Compile dictionary of dataframes from file path + x_flow_max = 0 + speed_list = [] + + for file_name in os.listdir(dyn_path): + key_name = file_name[0:file_name.find('.')] + individual_curves[key_name] = get_data(os.path.join(dyn_path, file_name), 'pump') + speed_list.append(individual_curves[key_name].speed_pct[0]) + + if max(individual_curves[key_name].Vdot_m3ph) > x_flow_max: + x_flow_max = max(individual_curves[key_name].Vdot_m3ph) + + if individual_curves: + flow_list = np.linspace(0, x_flow_max, 10) + head_list = np.zeros([len(speed_list), len(flow_list)]) + + for idx, key in enumerate(individual_curves): + # create individual poly equations for each curve and append to (z)_head_list + reg_par = np.polyfit(individual_curves[key].Vdot_m3ph.values, individual_curves[key].Head_m.values, + individual_curves[key].degree.values[0]) + n = np.arange(len(reg_par), 0, -1) + head_list[idx::] = [max(0, sum(reg_par * x ** (n - 1))) for x in flow_list] + + # Sorting the speed and head list results: + head_list_sorted = np.zeros([len(speed_list), len(flow_list)]) + speed_sorted = sorted(speed_list) + for idx_s, val_s in enumerate(speed_sorted): + for idx_us, val_us in enumerate(speed_list): + if val_s == val_us: # find sorted value in unsorted list + head_list_sorted[idx_s, :] = head_list[idx_us, :] + + + # interpolate 2d function to determine head (m) from specified flow and speed variables + interp2d_fct = interp2d(flow_list, speed_list, head_list, kind='cubic', fill_value='0') + + pump_st = cls(name, interp2d_fct) + pump_st._x_values = flow_list + pump_st._speed_list = speed_sorted # speed_list + pump_st._y_values = head_list_sorted # head_list + pump_st._individual_curves = individual_curves + + return pump_st + + @classmethod + def load_data(cls, path): + """ + load_data. + + :param path: + :type path: + :return: + :rtype: + """ + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + return data + +class ValveStdType(RegressionStdType): + def __init__(self, name, reg_par): + """ + Creates a concrete pump std type. The class is a child class of the RegressionStdType, therefore, the here + derived values are calculated based on a previously performed regression. The regression parameters need to + be passed or alternatively, can be determined through the here defined class methods. + + :param name: Name of the pump object + :type name: str + :param reg_par: If the parameters of a regression function are already determined they \ + can be directly be set by initializing a pump object + :type reg_par: List of floats + """ + super(ValveStdType, self).__init__(name, 'dynamic_valve', reg_par) + + def get_relative_flow(self, relative_travel): + """ + Calculate the pressure lift based on a polynomial from a regression. + + It is ensured that the pressure lift is always >= 0. For reverse flows, bypassing is + assumed. + + :param relative_travel: Relative valve travel (opening). + :type relative_travel: float + :return: This function returns the corresponding relative flow coefficient to the given valve travel + :rtype: float + """ + if self._reg_polynomial_degree == 0: + # Compute linear interpolation of the std type + f = np.interp(relative_travel, self._x_values, self._y_values) + return f + + else: + n = np.arange(len(self.reg_par), 0, -1) + if relative_travel < 0: + logger.debug("Issue with dynamic valve travel dimensions." + "Issue here" % str(self.name)) + return 0 + # no negative pressure lift - bypassing always allowed: + # /1 to ensure float format: + f = max(0, sum(self.reg_par * relative_travel ** (n - 1))) + + return f + @classmethod + def from_path(cls, name, path): + reg_par, x_values, y_values, degree = cls._from_path(path) + reg_st = cls(name, reg_par) + cls.init_std_type(reg_st, x_values, y_values, degree) + return reg_st + + @classmethod + def load_data(cls, path): + """ + load_data. + + :param path: + :type path: + :return: + :rtype: + """ + path = os.path.join(path) + data = pd.read_csv(path, sep=';', dtype=np.float64) + return data + class PumpStdType(RegressionStdType): def __init__(self, name, reg_par): diff --git a/pandapipes/std_types/std_types.py b/pandapipes/std_types/std_types.py index eaa89efc..c9461477 100644 --- a/pandapipes/std_types/std_types.py +++ b/pandapipes/std_types/std_types.py @@ -280,7 +280,7 @@ def add_basic_std_types(net): """ pump_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Pump")) dyn_valve_files = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Valve")) - dyn_pump_folder = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Pump")) + dyn_pump_folders = os.listdir(os.path.join(pp_dir, "std_types", "library", "Dynamic_Pump")) for pump_file in pump_files: pump_name = str(pump_file.split(".")[0]) @@ -288,11 +288,11 @@ def add_basic_std_types(net): pump_file)) create_pump_std_type(net, pump_name, pump, True) - for dyn_pump_name in dyn_pump_folder: - dyn_pump = DynPumpStdType.from_folder(dyn_pump_name, os.path.join(pp_dir, "std_types", "library", - "Dynamic_Pump", dyn_pump_name)) + for dyn_pump_folder in dyn_pump_folders: + dyn_pump = DynPumpStdType.from_folder(dyn_pump_folder, os.path.join(pp_dir, "std_types", "library", + "Dynamic_Pump", dyn_pump_folder)) if dyn_pump is not None: - create_dynamic_pump_std_type(net, dyn_pump_name, dyn_pump, True) + create_dynamic_pump_std_type(net, dyn_pump_folder, dyn_pump, True) for dyn_valve_file in dyn_valve_files: dyn_valve_name = str(dyn_valve_file.split(".")[0]) diff --git a/setup.py b/setup.py index cf83a71a..2af73f1e 100644 --- a/setup.py +++ b/setup.py @@ -43,7 +43,7 @@ long_description_content_type='text/x-rst', url='http://www.pandapipes.org', license='BSD', - install_requires=["pandapower>=2.11.1", "matplotlib", "shapely"], + install_requires=["matplotlib", "shapely"], # "pandapower>=2.11.1", extras_require={"docs": ["numpydoc", "sphinx", "sphinx_rtd_theme", "sphinxcontrib.bibtex"], "plotting": ["plotly", "python-igraph"], "test": ["pytest", "pytest-xdist", "nbmake"], From ae277af7a1382da1daba2bbe555eeb813868da0c Mon Sep 17 00:00:00 2001 From: qlyons Date: Mon, 13 Feb 2023 10:20:49 +0100 Subject: [PATCH 10/35] Updates from PP_public --- .../dynamic_circulation_pump_component.py | 11 ++++++++++- pandapipes/pipeflow.py | 2 +- 2 files changed, 11 insertions(+), 2 deletions(-) diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index fd398981..56bc28e6 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -11,7 +11,7 @@ from pandapipes.idx_node import PINIT, NODE_TYPE, P, EXT_GRID_OCCURENCE from pandapipes.pf.pipeflow_setup import get_lookup, get_net_option from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, ACTIVE, LOSS_COEFFICIENT as LC, FROM_NODE, \ - TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO, TO_NODE + TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO, TO_NODE, JAC_DERIV_DP, JAC_DERIV_DP1, JAC_DERIV_DV from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, HEIGHT from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.properties.fluids import get_fluid @@ -194,6 +194,15 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, press + p_static, t_flow_k, cls.get_connected_node_type()) + @classmethod + def adaption_after_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + # set all PC branches to derivatives to 0 + f, t = idx_lookups[cls.table_name()] + dyn_circ_pump_pit = branch_pit[f:t, :] + #c_branch = dyn_circ_pump_pit[:, BRANCH_TYPE] == PC + #press_pit[pc_branch, JAC_DERIV_DP] = 0 + #ress_pit[pc_branch, JAC_DERIV_DP1] = 0 + #dyn_circ_pump_pit[:, JAC_DERIV_DV] = -1 @classmethod def get_component_input(cls): diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 5aee822d..2812089c 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -271,7 +271,7 @@ def solve_hydraulics(net): for comp in net['component_list']: comp.adaption_after_derivatives_hydraulic( net, branch_pit, node_pit, branch_lookups, options) - # epsilon is our function evaluated at x(0) ? + # epsilon is node [pressure] slack nodes and load vector branch prsr difference # jacobian is the derivatives jacobian, epsilon = build_system_matrix(net, branch_pit, node_pit, False) From fb18d3f56822fcff8a88c855b5970cb619a8f9d6 Mon Sep 17 00:00:00 2001 From: qlyons Date: Tue, 14 Feb 2023 10:38:33 +0100 Subject: [PATCH 11/35] dynamic pump adaption after derivatives --- .../dynamic_circulation_pump_component.py | 29 +++++++++++++------ 1 file changed, 20 insertions(+), 9 deletions(-) diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 56bc28e6..39a859d7 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -11,7 +11,7 @@ from pandapipes.idx_node import PINIT, NODE_TYPE, P, EXT_GRID_OCCURENCE from pandapipes.pf.pipeflow_setup import get_lookup, get_net_option from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, ACTIVE, LOSS_COEFFICIENT as LC, FROM_NODE, \ - TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO, TO_NODE, JAC_DERIV_DP, JAC_DERIV_DP1, JAC_DERIV_DV + TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO, TO_NODE, JAC_DERIV_DP, JAC_DERIV_DP1, JAC_DERIV_DV, LOAD_VEC_BRANCHES from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, HEIGHT from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.properties.fluids import get_fluid @@ -129,6 +129,7 @@ def create_pit_branch_entries(cls, net, branch_pit): std_type, pos = np.where(net[cls.table_name()]['std_type'].values == std_types_lookup[:, np.newaxis]) dyn_circ_pump_pit[pos, STD_TYPE] = std_type + dyn_circ_pump_pit[:, VINIT] = 0#.1 #0.1 @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): @@ -170,7 +171,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) fcts = [fcts] if not isinstance(fcts, tuple) else fcts - hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol, actual_pos))) + hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol, actual_pos))) # m head pl = np.divide((dyn_circ_pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION)[0] # bar @@ -185,13 +186,12 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo # TODO: there should be a warning, if any p_bar value is not given or any of the types does # not contain "p", as this should not be allowed for this component - press = pl t_flow_k = node_pit[from_nodes, TINIT_NODE] p_static = node_pit[from_nodes, PINIT] - # update the 'FROM' node - update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, press + p_static, + # update the 'FROM' node i.e: discharge node + update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, pl + p_static, t_flow_k, cls.get_connected_node_type()) @classmethod @@ -199,10 +199,21 @@ def adaption_after_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_loo # set all PC branches to derivatives to 0 f, t = idx_lookups[cls.table_name()] dyn_circ_pump_pit = branch_pit[f:t, :] - #c_branch = dyn_circ_pump_pit[:, BRANCH_TYPE] == PC - #press_pit[pc_branch, JAC_DERIV_DP] = 0 - #ress_pit[pc_branch, JAC_DERIV_DP1] = 0 - #dyn_circ_pump_pit[:, JAC_DERIV_DV] = -1 + v_mps = dyn_circ_pump_pit[:, VINIT] + area = dyn_circ_pump_pit[:, AREA] + # function at 100% speed hardcoded + P_const = np.divide((dyn_circ_pump_pit[:, RHO] * GRAVITATION_CONSTANT), P_CONVERSION)[0] + df_dv = - P_const * (2 * v_mps * -1.2028 * area**2 + 0.2417 * area) + dyn_circ_pump_pit[:, JAC_DERIV_DV] = df_dv + + from_nodes = dyn_circ_pump_pit[:, FROM_NODE].astype(np.int32) + to_nodes = dyn_circ_pump_pit[:, TO_NODE].astype(np.int32) + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + pl = P_const * (-1.2028 * v_mps**2 ** area**2 + 0.2417 * v_mps * area + 49.252) + pl = dyn_circ_pump_pit[:, PL] + load_vec = p_to - p_from - pl + dyn_circ_pump_pit[:, LOAD_VEC_BRANCHES] = load_vec @classmethod def get_component_input(cls): From de672a46a81c6cce501663db323cf4a47b476c32 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 16 Feb 2023 09:03:41 +0100 Subject: [PATCH 12/35] dynamic pump static working --- .../dynamic_circulation_pump_component.py | 143 +++++++++++------- .../dynamic_valve_component.py | 17 ++- pandapipes/std_types/std_type_class.py | 6 +- 3 files changed, 99 insertions(+), 67 deletions(-) diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 39a859d7..f792f144 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -16,6 +16,8 @@ from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.properties.fluids import get_fluid from pandapipes.component_models.component_toolbox import p_correction_height_air +from pandapipes.component_models.component_toolbox import set_fixed_node_entries, \ + get_mass_flow_at_nodes try: import pandaplan.core.pplog as logging @@ -120,7 +122,7 @@ def create_pit_branch_entries(cls, net, branch_pit): :return: No Output. """ dyn_circ_pump_pit = super().create_pit_branch_entries(net, branch_pit) - dyn_circ_pump_pit[:, ACTIVE] = True + dyn_circ_pump_pit[:, ACTIVE] = False dyn_circ_pump_pit[:, LC] = 0 dyn_circ_pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values dyn_circ_pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values @@ -129,91 +131,65 @@ def create_pit_branch_entries(cls, net, branch_pit): std_type, pos = np.where(net[cls.table_name()]['std_type'].values == std_types_lookup[:, np.newaxis]) dyn_circ_pump_pit[pos, STD_TYPE] = std_type - dyn_circ_pump_pit[:, VINIT] = 0#.1 #0.1 + dyn_circ_pump_pit[:, VINIT] = 0.1 @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - - # calculation of pressure lift - f, t = idx_lookups[cls.table_name()] - dyn_circ_pump_pit = branch_pit[f:t, :] - dt = options['dt'] - area = dyn_circ_pump_pit[:, AREA] - idx = dyn_circ_pump_pit[:, STD_TYPE].astype(int) - std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[idx] - from_nodes = dyn_circ_pump_pit[:, FROM_NODE].astype(np.int32) - to_nodes = dyn_circ_pump_pit[:, TO_NODE].astype(np.int32) - fluid = get_fluid(net) - p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] - numerator = NORMAL_PRESSURE * dyn_circ_pump_pit[:, TINIT] - v_mps = dyn_circ_pump_pit[:, VINIT] - desired_mv = dyn_circ_pump_pit[:, DESIRED_MV] - - if fluid.is_gas: - # consider volume flow at inlet - normfactor_from = numerator * fluid.get_property("compressibility", p_from) \ - / (p_from * NORMAL_TEMPERATURE) - v_mean = v_mps * normfactor_from - else: - v_mean = v_mps - vol = v_mean * area + dt = 1 + rho = 998 + circ_pump_tbl = net[cls.table_name()] + junction_lookup = get_lookup(net, "node", "index")[ cls.get_connected_node_type().table_name()] + fn_col, tn_col = cls.from_to_node_cols() + # get indices in internal structure for flow_junctions in circ_pump tables which are + # "active" + flow_junctions = circ_pump_tbl[tn_col].values + flow_nodes = junction_lookup[flow_junctions] + in_service = circ_pump_tbl.in_service.values + p_grids = np.isin(circ_pump_tbl.type.values, ["p", "pt"]) & in_service + sum_mass_flows, inverse_nodes, counts = get_mass_flow_at_nodes(net, node_pit, branch_pit, + flow_nodes[p_grids], cls) + q_kg_s = - (sum_mass_flows / counts)[inverse_nodes] + vol_m3_s = np.divide(q_kg_s, rho) + desired_mv = circ_pump_tbl.desired_mv.values if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running actual_pos = cls.plant_dynamics(dt, desired_mv) - dyn_circ_pump_pit[:, ACTUAL_POS] = actual_pos - cls.time_step+= 1 + circ_pump_tbl.actual_pos = actual_pos + cls.time_step += 1 else: # Steady state analysis - actual_pos = dyn_circ_pump_pit[:, ACTUAL_POS] + actual_pos = circ_pump_tbl.actual_pos.values + std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[pos] fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) fcts = [fcts] if not isinstance(fcts, tuple) else fcts - - hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol, actual_pos))) # m head - pl = np.divide((dyn_circ_pump_pit[:, RHO] * GRAVITATION_CONSTANT * hl), P_CONVERSION)[0] # bar - + hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol_m3_s, actual_pos))) # m head + pl = np.divide((rho * GRAVITATION_CONSTANT * hl), P_CONVERSION)[0] # bar # Now: Update the Discharge pressure node (Also known as the starting PT node) # And the discharge temperature from the suction temperature (neglecting pump temp) circ_pump_tbl = net[cls.table_name()][net[cls.table_name()][cls.active_identifier()].values] - dyn_circ_pump_pit[:, PL] = pl # -(pl - circ_pump_tbl.p_static_circuit) + #dyn_circ_pump_pit[:, PL] = pl # -(pl - circ_pump_tbl.p_static_circuit) junction = net[cls.table_name()][cls.from_to_node_cols()[1]].values # TODO: there should be a warning, if any p_bar value is not given or any of the types does # not contain "p", as this should not be allowed for this component - t_flow_k = node_pit[from_nodes, TINIT_NODE] - p_static = node_pit[from_nodes, PINIT] + t_flow_k = circ_pump_tbl.t_flow_k.values + p_static = circ_pump_tbl.p_static_circuit.values # update the 'FROM' node i.e: discharge node update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, pl + p_static, t_flow_k, cls.get_connected_node_type()) - @classmethod - def adaption_after_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - # set all PC branches to derivatives to 0 - f, t = idx_lookups[cls.table_name()] - dyn_circ_pump_pit = branch_pit[f:t, :] - v_mps = dyn_circ_pump_pit[:, VINIT] - area = dyn_circ_pump_pit[:, AREA] - # function at 100% speed hardcoded - P_const = np.divide((dyn_circ_pump_pit[:, RHO] * GRAVITATION_CONSTANT), P_CONVERSION)[0] - df_dv = - P_const * (2 * v_mps * -1.2028 * area**2 + 0.2417 * area) - dyn_circ_pump_pit[:, JAC_DERIV_DV] = df_dv - - from_nodes = dyn_circ_pump_pit[:, FROM_NODE].astype(np.int32) - to_nodes = dyn_circ_pump_pit[:, TO_NODE].astype(np.int32) - p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] - p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] - pl = P_const * (-1.2028 * v_mps**2 ** area**2 + 0.2417 * v_mps * area + 49.252) - pl = dyn_circ_pump_pit[:, PL] - load_vec = p_to - p_from - pl - dyn_circ_pump_pit[:, LOAD_VEC_BRANCHES] = load_vec + @classmethod def get_component_input(cls): @@ -227,6 +203,7 @@ def get_component_input(cls): ("flow_junction", "u4"), ("p_flow_bar", "f8"), ("t_flow_k", "f8"), + ("p_lift", "f8"), ("p_static_circuit", "f8"), ("actual_pos", "f8"), ("in_service", 'bool'), @@ -236,3 +213,55 @@ def get_component_input(cls): @classmethod def calculate_temperature_lift(cls, net, pipe_pit, node_pit): pass + + + @classmethod + def extract_results(cls, net, options, branch_results, nodes_connected, branches_connected): + """ + Function that extracts certain results. + + :param nodes_connected: + :type nodes_connected: + :param branches_connected: + :type branches_connected: + :param branch_results: + :type branch_results: + :param net: The pandapipes network + :type net: pandapipesNet + :param options: + :type options: + :return: No Output. + """ + circ_pump_tbl = net[cls.table_name()] + + if len(circ_pump_tbl) == 0: + return + + res_table = net["res_" + cls.table_name()] + + branch_pit = net['_pit']['branch'] + node_pit = net["_pit"]["node"] + + junction_lookup = get_lookup(net, "node", "index")[ + cls.get_connected_node_type().table_name()] + fn_col, tn_col = cls.from_to_node_cols() + # get indices in internal structure for flow_junctions in circ_pump tables which are + # "active" + flow_junctions = circ_pump_tbl[tn_col].values + flow_nodes = junction_lookup[flow_junctions] + in_service = circ_pump_tbl.in_service.values + p_grids = np.isin(circ_pump_tbl.type.values, ["p", "pt"]) & in_service + sum_mass_flows, inverse_nodes, counts = get_mass_flow_at_nodes(net, node_pit, branch_pit, + flow_nodes[p_grids], cls) + + # positive results mean that the circ_pump feeds in, negative means that the ext grid + # extracts (like a load) + res_table["mdot_flow_kg_per_s"].values[p_grids] = - (sum_mass_flows / counts)[inverse_nodes] + + return_junctions = circ_pump_tbl[fn_col].values + return_nodes = junction_lookup[return_junctions] + + deltap_bar = node_pit[flow_nodes, PINIT] - node_pit[return_nodes, PINIT] + res_table["deltap_bar"].values[in_service] = deltap_bar[in_service] + + #res_table["p_lift_bar"].values[in_service] = deltap_bar[in_service] \ No newline at end of file diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 905461bf..62e4e9df 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -69,11 +69,11 @@ def create_pit_branch_entries(cls, net, branch_pit): valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values - # Update in_service status if valve actual position becomes 0% - if valve_pit[:, ACTUAL_POS] > 0: - valve_pit[:, ACTIVE] = True - else: - valve_pit[:, ACTIVE] = False + # # Update in_service status if valve actual position becomes 0% + # if valve_pit[:, ACTUAL_POS] > 0: + # valve_pit[:, ACTIVE] = True + # else: + # valve_pit[:, ACTIVE] = False std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values @@ -138,7 +138,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo # a controller timeseries is running actual_pos = cls.plant_dynamics(dt, desired_mv) valve_pit[:, ACTUAL_POS] = actual_pos - cls.time_step+= 1 + cls.time_step += 1 else: # Steady state analysis actual_pos = valve_pit[:, ACTUAL_POS] @@ -157,7 +157,10 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo q_m3_s = np.divide(q_m3_h, 3600) v_mps = np.divide(q_m3_s, area) rho = valve_pit[:, RHO] - zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) + if v_mps == 0: + zeta = 0 + else: + zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) # Issue with 1st loop initialisation, when delta_p == 0, zeta remains 0 for entire iteration if delta_p == 0: zeta= 0.1 diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py index 5ed9bd45..003d1876 100644 --- a/pandapipes/std_types/std_type_class.py +++ b/pandapipes/std_types/std_type_class.py @@ -211,9 +211,9 @@ def plot_pump_curve(self): "x": {"show": True, "start": 1.5, "end": 2, "size": 0.04, "color": "white"}, "z": {"show": True, "start": 0.5, "end": 0.8, "size": 0.05} }, - x=self._flowrate_list, + x=self._x_values, y=self._speed_list, - z=self._head_list)) + z=self._y_values)) fig.update_xaxes = 'flow' fig.update_yaxes = 'speed' fig.update_layout(scene=dict( @@ -221,7 +221,7 @@ def plot_pump_curve(self): yaxis_title='y: Speed (%)', zaxis_title='z: Head (m)'), title='Pump Curve', autosize=False, - width=1000, height=1000, + width=400, height=400, ) #fig.show() From 1bbe90546104671ae962eb6bfa56a77fe032ecfe Mon Sep 17 00:00:00 2001 From: Pineau Date: Thu, 9 Feb 2023 12:24:57 +0100 Subject: [PATCH 13/35] transient vectors without division by zero, small adaptions to transient test examples --- .../abstract_models/branch_models.py | 24 +++--- .../transient_test_one_pipe.py | 84 +++++++------------ .../transient_test_tee_junction.py | 50 ++++++----- 3 files changed, 71 insertions(+), 87 deletions(-) diff --git a/pandapipes/component_models/abstract_models/branch_models.py b/pandapipes/component_models/abstract_models/branch_models.py index 8ccfe9e2..7356bca5 100644 --- a/pandapipes/component_models/abstract_models/branch_models.py +++ b/pandapipes/component_models/abstract_models/branch_models.py @@ -136,20 +136,18 @@ def calculate_derivatives_thermal(cls, net, branch_pit, node_pit, idx_lookups, o if transient: t_m = t_init_i1 # (t_init_i1 + t_init_i) / 2 + branch_component_pit[:, LOAD_VEC_BRANCHES_T] = \ - -(rho * area * cp * (t_m - tvor) * (1 / delta_t) + rho * area * cp * v_init * ( - -t_init_i + t_init_i1 - tl) / length - - alpha * (t_amb - t_m) + qext) - - branch_component_pit[:, JAC_DERIV_DT] = - rho * area * cp * v_init / length + alpha \ - + rho * area * cp / delta_t - branch_component_pit[:, JAC_DERIV_DT1] = rho * area * cp * v_init / length + 0 * alpha \ - + rho * area * cp / delta_t - - branch_component_pit[:, JAC_DERIV_DT_NODE] = rho * v_init \ - * branch_component_pit[:, AREA] - branch_component_pit[:, LOAD_VEC_NODES_T] = rho * v_init \ - * branch_component_pit[:, AREA] * t_init_i1 + -(rho * area * cp * (t_m - tvor) * (1 / delta_t) * length + rho * area * cp * v_init * ( + -t_init_i + t_init_i1 - tl) + - alpha * (t_amb - t_m) * length + qext * length) + + branch_component_pit[:, JAC_DERIV_DT] = - rho * area * cp * v_init + alpha * length\ + + rho * area * cp / delta_t * length + branch_component_pit[:, JAC_DERIV_DT1] = rho * area * cp * v_init + 0 * alpha * length\ + + rho * area * cp / delta_t * length + + else: t_m = (t_init_i1 + t_init_i) / 2 branch_component_pit[:, LOAD_VEC_BRANCHES_T] = \ diff --git a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py index 8a154cbf..d592fdd7 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py +++ b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py @@ -24,7 +24,7 @@ def _save_single_xls_sheet(self, append): def _init_log_variable(self, net, table, variable, index=None, eval_function=None, eval_name=None): if table == "res_internal": - index = np.arange(len(net.junction) + net.pipe.sections.sum() - len(net.pipe)) + index = np.arange(net.pipe.sections.sum() + 1) # np.arange(sections + len(net.pipe) * (sections-1)) return super()._init_log_variable(net, table, variable, index, eval_function, eval_name) @@ -55,85 +55,65 @@ def _output_writer(net, time_steps, ow_path=None): transient_transfer = True -service = True net = pp.create_empty_network(fluid="water") # create junctions j1 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293, name="Junction 1") j2 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293, name="Junction 2") -#j3 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293, name="Junction 3") # create junction elements ext_grid = pp.create_ext_grid(net, junction=j1, p_bar=5, t_k=330, name="Grid Connection") -sink = pp.create_sink(net, junction=j2, mdot_kg_per_s=10, name="Sink") +sink = pp.create_sink(net, junction=j2, mdot_kg_per_s=2, name="Sink") # create branch elements -sections = 9 +sections = 36 nodes = 2 -length = 0.1 +length = 1 pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=.0472, sections=sections, alpha_w_per_m2k=5, text_k=293) -# pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=.0472, sections=sections, -# alpha_w_per_m2k=5, text_k=293) -# pp.create_valve(net, from_junction=j2, to_junction=j3, diameter_m=0.310, opened=True, loss_coefficient=4.51378671) # read in csv files for control of sources/sinks -profiles_source = pd.read_csv(os.path.join('pandapipes/files', - 'heat_flow_source_timesteps.csv'), - index_col=0) - -ds_source = DFData(profiles_source) - -const_source = control.ConstControl(net, element='ext_grid', variable='t_k', - element_index=net.ext_grid.index.values, - data_source=ds_source, - profile_name=net.ext_grid.index.values.astype(str), - in_service=service) - -dt = 5 -time_steps = range(ds_source.df.shape[0]) +time_steps = range(100) +dt = 60 +iterations = 20 ow = _output_writer(net, time_steps, ow_path=tempfile.gettempdir()) -run_timeseries(net, time_steps, mode="all", transient=transient_transfer, iter=30, dt=dt) +run_timeseries(net, time_steps, transient=transient_transfer, mode="all", dt=dt, + reuse_internal_data=True, iter=iterations) if transient_transfer: res_T = ow.np_results["res_internal.t_k"] else: res_T = ow.np_results["res_junctions.t_k"] + +res_T_df = pd.DataFrame(res_T) +res_T_df.to_excel('res_T.xlsx') + pipe1 = np.zeros(((sections + 1), res_T.shape[0])) pipe1[0, :] = copy.deepcopy(res_T[:, 0]) pipe1[-1, :] = copy.deepcopy(res_T[:, 1]) if transient_transfer: pipe1[1:-1, :] = np.transpose(copy.deepcopy(res_T[:, nodes:nodes + (sections - 1)])) -print(pipe1) # columns: timesteps, rows: pipe segments +# print(pipe1) # columns: timesteps, rows: pipe segments -print("v: ", net.res_pipe.loc[0, "v_mean_m_per_s"]) -print("timestepsreq: ", ((length * 1000) / net.res_pipe.loc[0, "v_mean_m_per_s"]) / dt) +plt.ion() -print("net.res_pipe:") -print(net.res_pipe) -print("net.res_junction:") -print(net.res_junction) -if transient_transfer: - print("net.res_internal:") - print(net.res_internal) -print("net.res_ext_grid") -print(net.res_ext_grid) - -x = time_steps fig = plt.figure() -plt.xlabel("time step") -plt.ylabel("temperature at both junctions [K]") -plt.title("junction results temperature transient") -plt.plot(x, pipe1[0,:], "r-o") -plt.plot(x, pipe1[-1,:], "y-o") -if transient_transfer: - plt.plot(x, pipe1[1, :], "g-o") - plt.legend(["Junction 0", "Junction 1", "Section 1"]) -else: - plt.legend(["Junction 0", "Junction 1"]) -plt.grid() -plt.savefig("files/output/one_pipe_temperature_step_transient.png") -plt.show() -plt.close() +ax = fig.add_subplot(221) +ax.set_title("Pipe 1") +ax.set_ylabel("Temperature [K]") +ax.set_xlabel("Length coordinate [m]") + +show_timesteps = [10, 30, 90] +line1, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[0]], color="black", + marker="+", label="Time step " + str(show_timesteps[0]), linestyle="dashed") +line11, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[1]], color="red", + linestyle="dotted", label="Time step " + str(show_timesteps[1])) +line12, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[2]], color="blue", + linestyle="dashdot", label="Time step " + str(show_timesteps[2])) + +ax.set_ylim((280, 335)) +ax.legend() +fig.canvas.draw() +plt.show() \ No newline at end of file diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py index 651a0990..11b3e016 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py +++ b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py @@ -68,17 +68,17 @@ def _output_writer(net, time_steps, ow_path=None): sink = pp.create_sink(net, junction=j4, mdot_kg_per_s=2, name="Sink") # create branch elements -sections = 4 +sections = 36 nodes = 4 length = 1 k_mm = 0.1 # 0.0472 pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=k_mm, sections=sections, - alpha_w_per_m2k=0, text_k=293.15) + alpha_w_per_m2k=5, text_k=293.15) pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=k_mm, sections=sections, - alpha_w_per_m2k=0, text_k=293.15) + alpha_w_per_m2k=5, text_k=293.15) pp.create_pipe_from_parameters(net, j2, j4, length, 75e-3, k_mm=k_mm, sections=sections, - alpha_w_per_m2k=0, text_k=293.15) + alpha_w_per_m2k=5, text_k=293.15) time_steps = range(100) dt = 60 @@ -105,15 +105,15 @@ def _output_writer(net, time_steps, ow_path=None): pipe3[1:-1, :] = np.transpose( copy.deepcopy(res_T[:, nodes + (2 * (sections - 1)):nodes + (3 * (sections - 1))])) -datap1 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), - sep=';', - header=1, nrows=5, keep_default_na=False) -datap2 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), - sep=';', - header=8, nrows=5, keep_default_na=False) -datap3 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), - sep=';', - header=15, nrows=5, keep_default_na=False) +# datap1 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), +# sep=';', +# header=1, nrows=5, keep_default_na=False) +# datap2 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), +# sep=';', +# header=8, nrows=5, keep_default_na=False) +# datap3 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), +# sep=';', +# header=15, nrows=5, keep_default_na=False) from IPython.display import clear_output @@ -133,31 +133,37 @@ def _output_writer(net, time_steps, ow_path=None): ax1.set_xlabel("Length coordinate [m]") ax2.set_xlabel("Length coordinate [m]") -show_timesteps = [10, 30, 90] +show_timesteps = [10, 25, 40] line1, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[0]], color="black", marker="+", label="Time step " + str(show_timesteps[0]), linestyle="dashed") line11, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[1]], color="black", linestyle="dotted", label="Time step " + str(show_timesteps[1])) line12, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[2]], color="black", linestyle="dashdot", label="Time step" + str(show_timesteps[2])) -d1 = ax.plot(np.arange(0, sections+1, 1)*1000/sections, datap1["T"], color="black") + line2, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[0]], color="black", marker="+", linestyle="dashed") line21, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[1]], color="black", - linestyle="dotted") + marker="+", linestyle="dotted") line22, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[2]], color="black", - linestyle="dashdot") -d2 = ax1.plot(np.arange(0, sections+1, 1)*1000/sections, datap2["T"], color="black") + marker="+", linestyle="dashdot") + line3, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[0]], color="black", marker="+", linestyle="dashed") line31, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[1]], color="black", - linestyle="dotted") + marker="+", linestyle="dotted") line32, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[2]], color="black", - linestyle="dashdot") -d3 = ax2.plot(np.arange(0, sections+1, 1), datap3["T"], color="black") + marker="+", linestyle="dashdot") + + +if sections == 4: + d1 = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap1["T"], color="black") + d2 = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap2["T"], color="black") + d3 = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap3["T"], color="black") + ax.set_ylim((280, 335)) ax1.set_ylim((280, 335)) ax2.set_ylim((280, 335)) ax.legend() fig.canvas.draw() -plt.show() \ No newline at end of file +plt.show() From 4b5c716b91abde07e836a7a55e5ebd2c31572f77 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 16 Feb 2023 17:37:51 +0100 Subject: [PATCH 14/35] updates to PID pump & Valve param results extraction --- .../dynamic_circulation_pump_component.py | 170 ++++++++++++------ .../dynamic_valve_component.py | 7 +- .../controller/collecting_controller.py | 4 +- .../control/controller/pid_controller.py | 2 +- pandapipes/create.py | 16 +- .../Pump/CRE_36_AAAEHQQE_Pump_curve.csv | 10 ++ 6 files changed, 141 insertions(+), 68 deletions(-) create mode 100644 pandapipes/std_types/library/Pump/CRE_36_AAAEHQQE_Pump_curve.csv diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index f792f144..9edd3eb9 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -12,12 +12,13 @@ from pandapipes.pf.pipeflow_setup import get_lookup, get_net_option from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, ACTIVE, LOSS_COEFFICIENT as LC, FROM_NODE, \ TINIT, PL, ACTUAL_POS, DESIRED_MV, RHO, TO_NODE, JAC_DERIV_DP, JAC_DERIV_DP1, JAC_DERIV_DV, LOAD_VEC_BRANCHES -from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, HEIGHT +from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE, HEIGHT, RHO as RHO_node from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, P_CONVERSION, GRAVITATION_CONSTANT from pandapipes.properties.fluids import get_fluid from pandapipes.component_models.component_toolbox import p_correction_height_air from pandapipes.component_models.component_toolbox import set_fixed_node_entries, \ get_mass_flow_at_nodes +from pandapipes.pf.result_extraction import extract_branch_results_without_internals try: import pandaplan.core.pplog as logging @@ -32,10 +33,8 @@ class DynamicCirculationPump(CirculationPump): # class attributes prev_mvlag = 0 kwargs = None - prev_act_pos = 0 + prev_act_pos = None time_step = 0 - sink_index_p= None - source_index_p = None @classmethod def table_name(cls): @@ -45,12 +44,53 @@ def table_name(cls): def get_connected_node_type(cls): return Junction - @classmethod def active_identifier(cls): return "in_service" @classmethod + def create_pit_node_entries(cls, net, node_pit): + """ + Function which creates pit node entries. + + :param net: The pandapipes network + :type net: pandapipesNet + :param node_pit: + :type node_pit: + :return: No Output. + """ + # Sets the discharge pressure, otherwise known as the starting node in the system + dyn_circ_pump, press = super().create_pit_node_entries(net, node_pit) + + # SET SUCTION PRESSURE + junction = dyn_circ_pump[cls.from_to_node_cols()[0]].values + p_in = dyn_circ_pump.p_static_circuit.values + set_fixed_node_entries(net, node_pit, junction, dyn_circ_pump.type.values, p_in, None, + cls.get_connected_node_type(), "p") + + + @classmethod + def create_pit_branch_entries(cls, net, branch_pit): + """ + Function which creates pit branch entries with a specific table. + :param net: The pandapipes network + :type net: pandapipesNet + :param branch_pit: + :type branch_pit: + :return: No Output. + """ + dyn_circ_pump_pit = super().create_pit_branch_entries(net, branch_pit) + dyn_circ_pump_pit[:, ACTIVE] = False + # dyn_circ_pump_pit[:, LC] = 0 + # dyn_circ_pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + # dyn_circ_pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values + # + # std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) + # std_type, pos = np.where(net[cls.table_name()]['std_type'].values + # == std_types_lookup[:, np.newaxis]) + # dyn_circ_pump_pit[pos, STD_TYPE] = std_type + #dyn_circ_pump_pit[:, VINIT] = 0.1 + @classmethod def plant_dynamics(cls, dt, desired_mv): """ Takes in the desired valve position (MV value) and computes the actual output depending on @@ -89,59 +129,17 @@ def plant_dynamics(cls, dt, desired_mv): return actual_pos - - @classmethod - def create_pit_node_entries(cls, net, node_pit): - """ - Function which creates pit node entries. - - :param net: The pandapipes network - :type net: pandapipesNet - :param node_pit: - :type node_pit: - :return: No Output. - """ - # Sets the discharge pressure, otherwise known as the starting node in the system - dyn_circ_pump, press = super().create_pit_node_entries(net, node_pit) - - # SET SUCTION PRESSURE - junction = dyn_circ_pump[cls.from_to_node_cols()[0]].values - p_in = dyn_circ_pump.p_static_circuit.values - set_fixed_node_entries(net, node_pit, junction, dyn_circ_pump.type.values, p_in, None, - cls.get_connected_node_type(), "p") - - - @classmethod - def create_pit_branch_entries(cls, net, branch_pit): - """ - Function which creates pit branch entries with a specific table. - :param net: The pandapipes network - :type net: pandapipesNet - :param branch_pit: - :type branch_pit: - :return: No Output. - """ - dyn_circ_pump_pit = super().create_pit_branch_entries(net, branch_pit) - dyn_circ_pump_pit[:, ACTIVE] = False - dyn_circ_pump_pit[:, LC] = 0 - dyn_circ_pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values - dyn_circ_pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values - - std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) - std_type, pos = np.where(net[cls.table_name()]['std_type'].values - == std_types_lookup[:, np.newaxis]) - dyn_circ_pump_pit[pos, STD_TYPE] = std_type - dyn_circ_pump_pit[:, VINIT] = 0.1 - @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): dt = 1 - rho = 998 circ_pump_tbl = net[cls.table_name()] junction_lookup = get_lookup(net, "node", "index")[ cls.get_connected_node_type().table_name()] fn_col, tn_col = cls.from_to_node_cols() # get indices in internal structure for flow_junctions in circ_pump tables which are # "active" + return_junctions = circ_pump_tbl[fn_col].values + return_node = junction_lookup[return_junctions] + rho = node_pit[return_node, RHO_node] flow_junctions = circ_pump_tbl[tn_col].values flow_nodes = junction_lookup[flow_junctions] in_service = circ_pump_tbl.in_service.values @@ -167,9 +165,10 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[pos] fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) fcts = [fcts] if not isinstance(fcts, tuple) else fcts - hl = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol_m3_s, actual_pos))) # m head - pl = np.divide((rho * GRAVITATION_CONSTANT * hl), P_CONVERSION)[0] # bar - + m_head = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol_m3_s, actual_pos))) # m head + prsr_lift = np.divide((rho * GRAVITATION_CONSTANT * m_head), P_CONVERSION)[0] # bar + circ_pump_tbl.p_lift = prsr_lift + circ_pump_tbl.m_head = m_head # Now: Update the Discharge pressure node (Also known as the starting PT node) # And the discharge temperature from the suction temperature (neglecting pump temp) @@ -177,19 +176,51 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo #dyn_circ_pump_pit[:, PL] = pl # -(pl - circ_pump_tbl.p_static_circuit) + junction = net[cls.table_name()][cls.from_to_node_cols()[1]].values # TODO: there should be a warning, if any p_bar value is not given or any of the types does # not contain "p", as this should not be allowed for this component - t_flow_k = circ_pump_tbl.t_flow_k.values + t_flow_k = node_pit[return_node, TINIT] #circ_pump_tbl.t_flow_k.values p_static = circ_pump_tbl.p_static_circuit.values # update the 'FROM' node i.e: discharge node - update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, pl + p_static, + update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, prsr_lift + p_static, t_flow_k, cls.get_connected_node_type()) + # @classmethod + # def get_result_table(cls, net): + # """ + # + # :param net: The pandapipes network + # :type net: pandapipesNet + # :return: (columns, all_float) - the column names and whether they are all float type. Only + # if False, returns columns as tuples also specifying the dtypes + # :rtype: (list, bool) + # """ + # if get_fluid(net).is_gas: + # output = ["v_to_m_per_s", "v_mean_m_per_s", "p_from_bar", "p_to_bar", + # "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", + # "vdot_norm_m3_per_s", "normfactor_from", + # "normfactor_to", "desired_mv", "actual_pos"] + # else: + # output = ["p_from_bar", "p_to_bar", "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", + # "vdot_norm_m3_per_s", "desired_mv", "actual_pos", "p_lift", "m_head"] + # return output, True + + @classmethod + def get_result_table(cls, net): + """ + + :param net: The pandapipes network + :type net: pandapipesNet + :return: (columns, all_float) - the column names and whether they are all float type. Only + if False, returns columns as tuples also specifying the dtypes + :rtype: (list, bool) + """ + return ["mdot_flow_kg_per_s", "deltap_bar", "desired_mv", "actual_pos", "p_lift", "m_head"], True @classmethod def get_component_input(cls): @@ -204,6 +235,7 @@ def get_component_input(cls): ("p_flow_bar", "f8"), ("t_flow_k", "f8"), ("p_lift", "f8"), + ('m_head', "f8"), ("p_static_circuit", "f8"), ("actual_pos", "f8"), ("in_service", 'bool'), @@ -237,6 +269,23 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches if len(circ_pump_tbl) == 0: return + # required_results = [ + # ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), + # ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), + # ("vdot_norm_m3_per_s", "vf"), ("deltap_bar", "pl") + # ] + # + # if get_fluid(net).is_gas: + # required_results.extend([ + # ("v_from_m_per_s", "v_gas_from"), ("v_to_m_per_s", "v_gas_to"), + # ("normfactor_from", "normfactor_from"), ("normfactor_to", "normfactor_to") + # ]) + # else: + # required_results.extend([("v_mean_m_per_s", "v_mps")]) + # + # extract_branch_results_without_internals(net, branch_results, required_results, + # cls.table_name(), branches_connected) + res_table = net["res_" + cls.table_name()] branch_pit = net['_pit']['branch'] @@ -258,10 +307,19 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches # extracts (like a load) res_table["mdot_flow_kg_per_s"].values[p_grids] = - (sum_mass_flows / counts)[inverse_nodes] + return_junctions = circ_pump_tbl[fn_col].values + return_node = junction_lookup[return_junctions] + rho = node_pit[return_node, RHO_node] + + #res_table["vdot_norm_m3_per_s"] = np.divide(- (sum_mass_flows / counts)[inverse_nodes], rho) + return_junctions = circ_pump_tbl[fn_col].values return_nodes = junction_lookup[return_junctions] deltap_bar = node_pit[flow_nodes, PINIT] - node_pit[return_nodes, PINIT] res_table["deltap_bar"].values[in_service] = deltap_bar[in_service] - #res_table["p_lift_bar"].values[in_service] = deltap_bar[in_service] \ No newline at end of file + res_table["p_lift"].values[p_grids] = circ_pump_tbl.p_lift.values + res_table["m_head"].values[p_grids] = circ_pump_tbl.m_head.values + res_table["actual_pos"].values[p_grids] = circ_pump_tbl.actual_pos.values + res_table["desired_mv"].values[p_grids] = circ_pump_tbl.desired_mv.values diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 62e4e9df..0c62165a 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -24,14 +24,11 @@ class DynamicValve(BranchWZeroLengthComponent): The equation is based on the standard valve dynamics: q = Kv(h) * sqrt(Delta_P). """ # class attributes - fcts = None prev_mvlag = 0 kwargs = None - prev_act_pos = 0 + prev_act_pos = None time_step = 0 - - @classmethod def from_to_node_cols(cls): return "from_junction", "to_junction" @@ -163,7 +160,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) # Issue with 1st loop initialisation, when delta_p == 0, zeta remains 0 for entire iteration if delta_p == 0: - zeta= 0.1 + zeta = 0.1 valve_pit[:, LC] = zeta ''' diff --git a/pandapipes/control/controller/collecting_controller.py b/pandapipes/control/controller/collecting_controller.py index 42794c4d..0dd092ec 100644 --- a/pandapipes/control/controller/collecting_controller.py +++ b/pandapipes/control/controller/collecting_controller.py @@ -21,8 +21,8 @@ class CollectorController: """ - #controller_mv_table = pd.DataFrame(data=[], columns=['fc_element', 'fc_index', 'fc_variable', - # 'ctrl_values', 'logic_typ', 'write_flag']) + controller_mv_table = pd.DataFrame(data=[], columns=['fc_element', 'fc_index', 'fc_variable', + 'ctrl_values', 'logic_typ', 'write_flag']) @classmethod def write_to_ctrl_collector(cls, net, ctrl_element, ctrl_index, ctrl_variable, ctrl_values, logic_typ, write_flag): diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 7675c96e..d94d704b 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -125,7 +125,7 @@ def time_step(self, net, time): preserving the initial net state. """ self.applied = False - self.dt = net['_options']['dt'] + self.dt = 1 #net['_options']['dt'] pv = net[self.process_element][self.process_variable].loc[self.process_element_index] self.cv = pv * self.cv_scaler diff --git a/pandapipes/create.py b/pandapipes/create.py index 128da4aa..ae75c3a8 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -609,7 +609,7 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, :rtype: int :Example: - >>> create_valve(net, 0, 1, diameter_m=4e-3, name="valve1", Kv_max= 5, actual_pos=44.44) + >>> create_dynamic_valve(net, 0, 1, diameter_m=4e-3, name="valve1", Kv_max= 5, actual_pos=44.44) """ @@ -624,6 +624,9 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, "std_type": std_type, "type": type, "in_service": in_service} _set_entries(net, "dynamic_valve", index, **v, **kwargs) + setattr(DynamicValve, 'kwargs', kwargs) + setattr(DynamicValve, 'prev_act_pos', actual_pos) + return index @@ -755,8 +758,8 @@ def create_pump_from_parameters(net, from_junction, to_junction, new_std_type_na def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_bar, p_static_circuit, std_type, - actual_pos=50.00, desired_mv=None,t_flow_k=None, type="auto", name=None, index=None, - in_service=True, **kwargs): + actual_pos=50.00, desired_mv=None, t_flow_k=None, type="auto", name=None, + index=None, in_service=True, **kwargs): """ Adds one circulation pump with a constant pressure lift in table net["circ_pump_pressure"]. \n A circulation pump is a component that sets the pressure at its outlet (flow junction) and @@ -804,7 +807,7 @@ def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_ba :Example: >>> create_dyn_circ_pump_pressure(net, 0, 1, p_flow_bar=5, p_static_circuit=2, std_type= 'P1', - >>> t_flow_k=350, type="p") + >>> t_flow_k=350, type="p", actual_pos=50) """ @@ -824,6 +827,9 @@ def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_ba "actual_pos": actual_pos, "desired_mv": desired_mv, "type": type, "in_service": bool(in_service)} _set_entries(net, "dyn_circ_pump", index, **v, **kwargs) + setattr(DynamicCirculationPump, 'kwargs', kwargs) + setattr(DynamicCirculationPump, 'prev_act_pos', actual_pos) + return index @@ -893,6 +899,8 @@ def create_circ_pump_const_pressure(net, return_junction, flow_junction, p_flow_ "in_service": bool(in_service)} _set_entries(net, "circ_pump_pressure", index, **v, **kwargs) + + return index def create_circ_pump_const_mass_flow(net, return_junction, flow_junction, p_flow_bar, diff --git a/pandapipes/std_types/library/Pump/CRE_36_AAAEHQQE_Pump_curve.csv b/pandapipes/std_types/library/Pump/CRE_36_AAAEHQQE_Pump_curve.csv new file mode 100644 index 00000000..dfe6a8dd --- /dev/null +++ b/pandapipes/std_types/library/Pump/CRE_36_AAAEHQQE_Pump_curve.csv @@ -0,0 +1,10 @@ +Vdot_m3ph;Head_m;degree +0; 57.25887844; 2 +0.890582589; 54.85125411; +1.43999004; 53.37608775; +1.781165178; 52.3176699; +2.671747767; 48.55511495; +3.562330356; 42.66247151; +4.452912944; 34.10145476; +4.4533436; 34.09663809; +5.343495533; 22.83517592; From c911091a4644f9f6ae5065b90f7935af33f49989 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 16 Feb 2023 21:43:19 +0100 Subject: [PATCH 15/35] minor changes to dynamics- temp-pid-vlv --- .../dynamic_circulation_pump_component.py | 2 +- .../dynamic_valve_component.py | 2 +- .../control/controller/pid_controller.py | 22 +++++++++---------- 3 files changed, 13 insertions(+), 13 deletions(-) diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 9edd3eb9..43ee0f98 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -182,7 +182,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo # TODO: there should be a warning, if any p_bar value is not given or any of the types does # not contain "p", as this should not be allowed for this component - t_flow_k = node_pit[return_node, TINIT] #circ_pump_tbl.t_flow_k.values + t_flow_k = node_pit[return_node, TINIT_NODE] #circ_pump_tbl.t_flow_k.values p_static = circ_pump_tbl.p_static_circuit.values # update the 'FROM' node i.e: discharge node diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 0c62165a..122df43d 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -124,7 +124,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo area = valve_pit[:, AREA] idx = valve_pit[:, STD_TYPE].astype(int) std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[idx] - dt = options['dt'] + dt = 1 #options['dt'] from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) to_nodes = valve_pit[:, TO_NODE].astype(np.int32) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index d94d704b..ff7a0d31 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -23,7 +23,7 @@ class PidControl(Controller): def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, - kp=1, Ti= 5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, + Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, data_source=None, scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, initial_run=False, **kwargs): @@ -54,7 +54,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.set_recycle(net) # PID config - self.Kp = kp + self.Kp = Kp self.Ti = Ti self.Td = Td self.MV_max = mv_max @@ -67,7 +67,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.prev_error = 0 self.dt = 1 self.dir_reversed = dir_reversed - self.gain_effective = ((self.MV_max-self.MV_min)/(self.PV_max - self.PV_min)) * self.Kp + self.gain_effective = ((self.MV_max-self.MV_min)/(self.PV_max - self.PV_min)) * Kp # selected pv value self.process_element = process_element self.process_variable = process_variable @@ -77,9 +77,9 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.sp = 0 self.prev_sp = 0 self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] - + self.ctrl_typ = 'std' self.diffgain = 1 # must be between 1 and 10 - self.diff_out= 0 + self.diff_part= 0 self.prev_diff_out = 0 self.auto = auto @@ -93,22 +93,22 @@ def pid_control(self, error_value): # External Reset PID diff_component = np.divide(self.Td, self.Td + self.dt * self.diffgain) - self.diff_out = diff_component * (self.prev_diff_out + self.diffgain * (error_value - self.prev_error)) + self.diff_part = diff_component * (self.prev_diff_out + self.diffgain * (error_value - self.prev_error)) - _gain = (error_value * (1 + self.diff_out)) * self.gain_effective + g_ain = (error_value * (1 + self.diff_part)) * self.gain_effective - a_pid = np.divide(self.dt, self.Ti + self.dt) + a = np.divide(self.dt, self.Ti + self.dt) - mv_lag = (1 - a_pid) * self.prev_mvlag + a_pid * self.prev_mv + mv_lag = (1 - a) * self.prev_mvlag + a * self.prev_mv mv_lag = np.clip(mv_lag, self.MV_min, self.MV_max) - mv = _gain + mv_lag + mv = g_ain + mv_lag # MV Saturation mv = np.clip(mv, self.MV_min, self.MV_max) - self.prev_diff_out = self.diff_out + self.prev_diff_out = self.diff_part self.prev_error = error_value self.prev_mvlag = mv_lag self.prev_mv = mv From 2f3f731de9c514cc6b68aa0e3dd96efa42a99ed8 Mon Sep 17 00:00:00 2001 From: qlyons Date: Sun, 19 Feb 2023 17:14:47 +0100 Subject: [PATCH 16/35] minor changes to PID, collector, valve --- .../dynamic_circulation_pump_component.py | 58 ++----------------- .../dynamic_valve_component.py | 10 ++-- .../controller/collecting_controller.py | 5 +- .../control/controller/pid_controller.py | 14 ++--- pandapipes/idx_branch.py | 6 +- 5 files changed, 21 insertions(+), 72 deletions(-) diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 43ee0f98..66b6d7e2 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -31,7 +31,6 @@ class DynamicCirculationPump(CirculationPump): # class attributes - prev_mvlag = 0 kwargs = None prev_act_pos = None time_step = 0 @@ -81,15 +80,7 @@ def create_pit_branch_entries(cls, net, branch_pit): """ dyn_circ_pump_pit = super().create_pit_branch_entries(net, branch_pit) dyn_circ_pump_pit[:, ACTIVE] = False - # dyn_circ_pump_pit[:, LC] = 0 - # dyn_circ_pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values - # dyn_circ_pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values - # - # std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) - # std_type, pos = np.where(net[cls.table_name()]['std_type'].values - # == std_types_lookup[:, np.newaxis]) - # dyn_circ_pump_pit[pos, STD_TYPE] = std_type - #dyn_circ_pump_pit[:, VINIT] = 0.1 + @classmethod def plant_dynamics(cls, dt, desired_mv): """ @@ -131,7 +122,7 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - dt = 1 + dt = 1 #net['_options']['dt'] circ_pump_tbl = net[cls.table_name()] junction_lookup = get_lookup(net, "node", "index")[ cls.get_connected_node_type().table_name()] fn_col, tn_col = cls.from_to_node_cols() @@ -174,42 +165,18 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo # And the discharge temperature from the suction temperature (neglecting pump temp) circ_pump_tbl = net[cls.table_name()][net[cls.table_name()][cls.active_identifier()].values] - #dyn_circ_pump_pit[:, PL] = pl # -(pl - circ_pump_tbl.p_static_circuit) - - junction = net[cls.table_name()][cls.from_to_node_cols()[1]].values # TODO: there should be a warning, if any p_bar value is not given or any of the types does # not contain "p", as this should not be allowed for this component - t_flow_k = node_pit[return_node, TINIT_NODE] #circ_pump_tbl.t_flow_k.values + t_flow_k = node_pit[return_node, TINIT_NODE] p_static = circ_pump_tbl.p_static_circuit.values - # update the 'FROM' node i.e: discharge node + # update the 'FROM' node i.e: discharge node temperature and pressure lift update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, prsr_lift + p_static, t_flow_k, cls.get_connected_node_type()) - - # @classmethod - # def get_result_table(cls, net): - # """ - # - # :param net: The pandapipes network - # :type net: pandapipesNet - # :return: (columns, all_float) - the column names and whether they are all float type. Only - # if False, returns columns as tuples also specifying the dtypes - # :rtype: (list, bool) - # """ - # if get_fluid(net).is_gas: - # output = ["v_to_m_per_s", "v_mean_m_per_s", "p_from_bar", "p_to_bar", - # "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", - # "vdot_norm_m3_per_s", "normfactor_from", - # "normfactor_to", "desired_mv", "actual_pos"] - # else: - # output = ["p_from_bar", "p_to_bar", "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", - # "vdot_norm_m3_per_s", "desired_mv", "actual_pos", "p_lift", "m_head"] - # return output, True - @classmethod def get_result_table(cls, net): """ @@ -269,23 +236,6 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches if len(circ_pump_tbl) == 0: return - # required_results = [ - # ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), - # ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), - # ("vdot_norm_m3_per_s", "vf"), ("deltap_bar", "pl") - # ] - # - # if get_fluid(net).is_gas: - # required_results.extend([ - # ("v_from_m_per_s", "v_gas_from"), ("v_to_m_per_s", "v_gas_to"), - # ("normfactor_from", "normfactor_from"), ("normfactor_to", "normfactor_to") - # ]) - # else: - # required_results.extend([("v_mean_m_per_s", "v_mps")]) - # - # extract_branch_results_without_internals(net, branch_results, required_results, - # cls.table_name(), branches_connected) - res_table = net["res_" + cls.table_name()] branch_pit = net['_pit']['branch'] diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 122df43d..3b15bb71 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -24,7 +24,6 @@ class DynamicValve(BranchWZeroLengthComponent): The equation is based on the standard valve dynamics: q = Kv(h) * sqrt(Delta_P). """ # class attributes - prev_mvlag = 0 kwargs = None prev_act_pos = None time_step = 0 @@ -118,13 +117,12 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - timseries = False + dt = 1 #net['_options']['dt'] f, t = idx_lookups[cls.table_name()] valve_pit = branch_pit[f:t, :] area = valve_pit[:, AREA] idx = valve_pit[:, STD_TYPE].astype(int) std_types = np.array(list(net.std_types['dynamic_valve'].keys()))[idx] - dt = 1 #options['dt'] from_nodes = valve_pit[:, FROM_NODE].astype(np.int32) to_nodes = valve_pit[:, TO_NODE].astype(np.int32) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] @@ -149,7 +147,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo kv_at_travel = relative_flow * valve_pit[:, Kv_max] # m3/h.Bar - delta_p = p_from - p_to # bar + delta_p = np.abs(p_from - p_to) # bar q_m3_h = kv_at_travel * np.sqrt(delta_p) q_m3_s = np.divide(q_m3_h, 3600) v_mps = np.divide(q_m3_s, area) @@ -159,8 +157,8 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo else: zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) # Issue with 1st loop initialisation, when delta_p == 0, zeta remains 0 for entire iteration - if delta_p == 0: - zeta = 0.1 + if np.isnan(v_mps): + zeta = 0.1 valve_pit[:, LC] = zeta ''' diff --git a/pandapipes/control/controller/collecting_controller.py b/pandapipes/control/controller/collecting_controller.py index 0dd092ec..78a34bc0 100644 --- a/pandapipes/control/controller/collecting_controller.py +++ b/pandapipes/control/controller/collecting_controller.py @@ -23,6 +23,7 @@ class CollectorController: controller_mv_table = pd.DataFrame(data=[], columns=['fc_element', 'fc_index', 'fc_variable', 'ctrl_values', 'logic_typ', 'write_flag']) + collect_ctrl_active = None @classmethod def write_to_ctrl_collector(cls, net, ctrl_element, ctrl_index, ctrl_variable, ctrl_values, logic_typ, write_flag): @@ -39,6 +40,8 @@ def write_to_ctrl_collector(cls, net, ctrl_element, ctrl_index, ctrl_variable, c cls.controller_mv_table.loc[idx] = \ [ctrl_element, ctrl_index, ctrl_variable, [ctrl_values.item()], [logic_typ], [write_flag]] + cls.collect_ctrl_active = True + else: r_idx = int(cls.controller_mv_table[(cls.controller_mv_table.fc_element == ctrl_element) & (cls.controller_mv_table.fc_index == ctrl_index) & @@ -73,4 +76,4 @@ def consolidate_logic(cls, net): " at " + str(fc_element) + ', ' + str(fc_index) + ', ' + str(fc_variable)) cls.controller_mv_table.drop(cls.controller_mv_table.index, inplace=True) - + cls.collect_ctrl_active = False diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index ff7a0d31..225fbe6f 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -23,7 +23,7 @@ class PidControl(Controller): def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, - Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, + Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, ctrl_typ='std', data_source=None, scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, initial_run=False, **kwargs): @@ -77,9 +77,9 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.sp = 0 self.prev_sp = 0 self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] - self.ctrl_typ = 'std' + self.ctrl_typ = ctrl_typ self.diffgain = 1 # must be between 1 and 10 - self.diff_part= 0 + self.diff_part = 0 self.prev_diff_out = 0 self.auto = auto @@ -116,7 +116,6 @@ def pid_control(self, error_value): return mv - def time_step(self, net, time): """ Get the values of the element from data source @@ -134,7 +133,7 @@ def time_step(self, net, time): scale_factor=self.scale_factor) if self.auto: - # Di + # PID is in Automatic Mode # self.values is the set point we wish to make the output if not self.dir_reversed: # error= SP-PV @@ -147,7 +146,6 @@ def time_step(self, net, time): # if error < 0.01 : error = 0 desired_mv = self.pid_control(error_value.values) - else: # Write data source directly to controlled variable desired_mv = self.sp @@ -164,12 +162,12 @@ def time_step(self, net, time): # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, # self.ctrl_values, self.write_flag) # Write the desired MV value to results for future plotting - write_to_net(net, self.fc_element, self.fc_element_index, "desired_mv", self.ctrl_values, + write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.write_flag) else: # Assume standard External Reset PID controller - write_to_net(net, self.fc_element, self.fc_element_index, "desired_mv", self.ctrl_values, + write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.write_flag) diff --git a/pandapipes/idx_branch.py b/pandapipes/idx_branch.py index 4fb20a34..5e291478 100644 --- a/pandapipes/idx_branch.py +++ b/pandapipes/idx_branch.py @@ -26,11 +26,11 @@ LOSS_COEFFICIENT = 21 CP = 22 # Slot for fluid heat capacity values ALPHA = 23 # Slot for heat transfer coefficient -JAC_DERIV_DT = 24 -JAC_DERIV_DT1 = 25 +JAC_DERIV_DT = 24 # Slot for the derivative by temperature from_node # df_dt +JAC_DERIV_DT1 = 25 # Slot for the derivative by temperature to_node # df_dt1 LOAD_VEC_BRANCHES_T = 26 T_OUT = 27 # Internal slot for outlet pipe temperature -JAC_DERIV_DT_NODE = 28 # Slot for the derivative fpr T for the nodes connected to branch +JAC_DERIV_DT_NODE = 28 # Slot for the derivative for T for the nodes connected to branch LOAD_VEC_NODES_T = 29 VINIT_T = 30 FROM_NODE_T = 31 From b03dbe3265d3f240b61eba66032a2b83db9a50f5 Mon Sep 17 00:00:00 2001 From: qlyons Date: Tue, 21 Feb 2023 07:41:18 +0100 Subject: [PATCH 17/35] differential PID mods, minor changes to vlv --- .../dynamic_valve_component.py | 2 + .../controller/differential_control.py | 123 ++++++++++++------ .../control/controller/pid_controller.py | 7 +- pandapipes/idx_branch.py | 4 +- .../library/Dynamic_Valve/globe_Kvs_2-5.csv | 13 ++ 5 files changed, 102 insertions(+), 47 deletions(-) create mode 100644 pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 3b15bb71..ad540465 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -119,6 +119,7 @@ def plant_dynamics(cls, dt, desired_mv): def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): dt = 1 #net['_options']['dt'] f, t = idx_lookups[cls.table_name()] + dyn_valve_tbl = net[cls.table_name()] valve_pit = branch_pit[f:t, :] area = valve_pit[:, AREA] idx = valve_pit[:, STD_TYPE].astype(int) @@ -133,6 +134,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo # a controller timeseries is running actual_pos = cls.plant_dynamics(dt, desired_mv) valve_pit[:, ACTUAL_POS] = actual_pos + dyn_valve_tbl.actual_pos = actual_pos cls.time_step += 1 else: # Steady state analysis diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py index 8c000f57..48b8f5eb 100644 --- a/pandapipes/control/controller/differential_control.py +++ b/pandapipes/control/controller/differential_control.py @@ -5,6 +5,8 @@ from pandapipes.control.controller.pid_controller import PidControl from pandapower.toolbox import _detect_read_write_flag, write_to_net +from pandapipes.control.controller.collecting_controller import CollectorController + try: import pandaplan.core.pplog as logging @@ -20,53 +22,55 @@ class DifferentialControl(PidControl): """ - def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, prev_mv=100, integral=0, dt=1, - dir_reversed=False, process_variable_1=None, process_element_1=None, process_element_index_1=None, - process_variable_2=None, process_element_2=None, process_element_index_2=None, cv_scaler=1, - kp=1, ki=0.05, Ti=5, Td=0, kd=0, mv_max=100.00, mv_min=20.00, profile_name=None, + def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, + process_variable_1=None, process_element_1=None, process_element_index_1=None, + process_variable_2=None, process_element_2=None, process_element_index_2=None, + cv_scaler=1, Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, ctrl_typ='std', data_source=None, scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, - initial_run=False, pass_element=None, pass_variable=None, pass_element_index=None, **kwargs): + initial_run=False, **kwargs): # just calling init of the parent if matching_params is None: - matching_params = {"element": fc_element, "variable": fc_variable, - "element_index": fc_element_index} - super().__init__(net, in_service=in_service, recycle=recycle, order=order, level=level, + matching_params = {"fc_element": fc_element, "fc_variable": fc_variable, + "fc_element_index": fc_element_index} + super(PidControl, self).__init__(net, in_service=in_service, recycle=recycle, order=order, level=level, drop_same_existing_ctrl=drop_same_existing_ctrl, matching_params=matching_params, initial_run=initial_run, **kwargs) + self.__dict__.update(kwargs) + #self.kwargs = kwargs + # data source for time series values self.data_source = data_source - self.ctrl_variable = fc_variable - self.ctrl_element_index = fc_element_index - # element type - self.ctrl_element = fc_element - self.values = None + # ids of sgens or loads + self.fc_element_index = fc_element_index + # control element type + self.fc_element = fc_element + self.ctrl_values = None self.profile_name = profile_name self.scale_factor = scale_factor self.applied = False - self.write_flag, self.variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) + self.write_flag, self.fc_variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) self.set_recycle(net) # PID config - self.Kp = kp - self.Kc = 1 - self.Ki = ki + self.Kp = Kp self.Ti = Ti self.Td = Td - self.Kd = kd self.MV_max = mv_max self.MV_min = mv_min self.PV_max = pv_max self.PV_min = pv_min - self.integral = integral - self.prev_mv = prev_mv + self.prev_mv = net[fc_element].actual_pos.values + self.prev_mvlag = net[fc_element].actual_pos.values + self.prev_act_pos = net[fc_element].actual_pos.values self.prev_error = 0 - self.dt = dt + self.dt = 1 self.dir_reversed = dir_reversed - self.gain_effective = ((self.MV_max - self.MV_min) / (self.PV_max - self.PV_min)) * self.Kp + self.gain_effective = ((self.MV_max-self.MV_min)/(self.PV_max - self.PV_min)) * Kp + # selected pv value # selected pv value self.process_element_1 = process_element_1 self.process_variable_1 = process_variable_1 @@ -75,9 +79,19 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.process_variable_2 = process_variable_2 self.process_element_index_2 = process_element_index_2 self.cv_scaler = cv_scaler - self.cv = net[self.ctrl_element][self.process_variable].loc[self.process_element_index] - self.prev_cv = 0 - self.prev2_cv = 0 + self.cv = (net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] - \ + net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2]) * self.cv_scaler + self.sp = 0 + self.pv = 0 + self.prev_sp = 0 + self.prev_cv = (net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] + - net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2]) \ + * self.cv_scaler + self.ctrl_typ = ctrl_typ + self.diffgain = 1 # must be between 1 and 10 + self.diff_part = 0 + self.prev_diff_out = 0 + self.auto = auto super().set_recycle(net) @@ -92,28 +106,51 @@ def time_step(self, net, time): # Differential calculation pv_1 = net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] pv_2 = net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2] - pv = pv_1 - pv_2 + self.pv = pv_1 - pv_2 - self.cv = pv * self.cv_scaler - sp = self.data_source.get_time_step_value(time_step=time, - profile_name=self.profile_name, - scale_factor=self.scale_factor) + self.cv = self.pv * self.cv_scaler + self.sp = self.data_source.get_time_step_value(time_step=time, + profile_name=self.profile_name, + scale_factor=self.scale_factor) - # self.values is the set point we wish to make the output - if not self.dir_reversed: - # error= SP-PV - error_value = sp - self.cv - else: - # error= SP-PV - error_value = self.cv - sp + if self.auto: + # PID is in Automatic Mode + # self.values is the set point we wish to make the output + if not self.dir_reversed: + # error= SP-PV + error_value = self.sp - self.cv + else: + # error= SP-PV + error_value = self.cv - self.sp - # TODO: hysteresis band - # if error < 0.01 : error = 0 - mv = self.pid_control(error_value.values) + #TODO: hysteresis band + # if error < 0.01 : error = 0 - self.values = mv - # here we write the mv value to the network controlled element - write_to_net(net, self.element, self.element_index, self.variable, self.values, self.write_flag) + desired_mv = PidControl.pid_control(self, error_value) + + else: + # Write data source directly to controlled variable + desired_mv = self.sp + + self.ctrl_values = desired_mv + + # Write desired_mv to the network + if hasattr(self, "ctrl_typ"): + if self.ctrl_typ == "over_ride": + CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, + self.fc_variable, self.ctrl_values, self.selector_typ, + self.write_flag) + else: # self.ctrl_typ == "std": + # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, + # self.ctrl_values, self.write_flag) + # Write the desired MV value to results for future plotting + write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, + self.write_flag) + + else: + # Assume standard External Reset PID controller + write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, + self.write_flag) def __str__(self): return super().__str__() + " [%s.%s]" % (self.element, self.variable) diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 225fbe6f..c1c14e66 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -75,6 +75,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.cv_scaler = cv_scaler self.cv = net[self.process_element][self.process_variable].loc[self.process_element_index] self.sp = 0 + self.pv = 0 self.prev_sp = 0 self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] self.ctrl_typ = ctrl_typ @@ -125,9 +126,11 @@ def time_step(self, net, time): """ self.applied = False self.dt = 1 #net['_options']['dt'] - pv = net[self.process_element][self.process_variable].loc[self.process_element_index] - self.cv = pv * self.cv_scaler + + self.pv = net[self.process_element][self.process_variable].loc[self.process_element_index] + + self.cv = self.pv * self.cv_scaler self.sp = self.data_source.get_time_step_value(time_step=time, profile_name=self.profile_name, scale_factor=self.scale_factor) diff --git a/pandapipes/idx_branch.py b/pandapipes/idx_branch.py index 5e291478..082de45a 100644 --- a/pandapipes/idx_branch.py +++ b/pandapipes/idx_branch.py @@ -24,8 +24,8 @@ JAC_DERIV_DV_NODE = 19 # Slot for the derivative by velocity for the nodes connected to branch #df_dv_nodes LOAD_VEC_NODES = 20 # Slot for the load vector of the nodes connected to branch : mass_flow (kg_s) # load_vec_nodes LOSS_COEFFICIENT = 21 -CP = 22 # Slot for fluid heat capacity values -ALPHA = 23 # Slot for heat transfer coefficient +CP = 22 # Slot for fluid heat capacity at constant pressure : cp = (J/kg.K) +ALPHA = 23 # Slot for heat transfer coefficient: U = (W/m2.K) JAC_DERIV_DT = 24 # Slot for the derivative by temperature from_node # df_dt JAC_DERIV_DT1 = 25 # Slot for the derivative by temperature to_node # df_dt1 LOAD_VEC_BRANCHES_T = 26 diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv new file mode 100644 index 00000000..17ebac46 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv @@ -0,0 +1,13 @@ +relative_travel;relative_flow;degree +0; 0.012274368; 3 +0.05; 0.016606498; +0.1; 0.02166065; +0.2; 0.035379061; +0.3; 0.055234657; +0.4; 0.086281588; +0.5; 0.131407942; +0.6; 0.2; +0.7; 0.303610108; +0.8; 0.44765343; +0.9; 0.653429603; +1; 1; From 8dd5427325e7a89669d414600f87358b12ff2b6d Mon Sep 17 00:00:00 2001 From: Pineau Date: Tue, 21 Feb 2023 09:10:06 +0100 Subject: [PATCH 18/35] Transient heat transfer equations multiplied with length --- .../abstract_models/branch_models.py | 2 +- .../pipeflow_internals/transient_test_one_pipe.py | 12 +++++++----- .../transient_test_tee_junction.py | 2 +- 3 files changed, 9 insertions(+), 7 deletions(-) diff --git a/pandapipes/component_models/abstract_models/branch_models.py b/pandapipes/component_models/abstract_models/branch_models.py index 7356bca5..379d9e71 100644 --- a/pandapipes/component_models/abstract_models/branch_models.py +++ b/pandapipes/component_models/abstract_models/branch_models.py @@ -140,7 +140,7 @@ def calculate_derivatives_thermal(cls, net, branch_pit, node_pit, idx_lookups, o branch_component_pit[:, LOAD_VEC_BRANCHES_T] = \ -(rho * area * cp * (t_m - tvor) * (1 / delta_t) * length + rho * area * cp * v_init * ( -t_init_i + t_init_i1 - tl) - - alpha * (t_amb - t_m) * length + qext * length) + - alpha * (t_amb - t_m) * length + qext) branch_component_pit[:, JAC_DERIV_DT] = - rho * area * cp * v_init + alpha * length\ + rho * area * cp / delta_t * length diff --git a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py index d592fdd7..fd60b359 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py +++ b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py @@ -24,7 +24,7 @@ def _save_single_xls_sheet(self, append): def _init_log_variable(self, net, table, variable, index=None, eval_function=None, eval_name=None): if table == "res_internal": - index = np.arange(net.pipe.sections.sum() + 1) # np.arange(sections + len(net.pipe) * (sections-1)) + index = np.arange(len(net.junction) + len(net.pipe) * (sections-1)) return super()._init_log_variable(net, table, variable, index, eval_function, eval_name) @@ -66,7 +66,7 @@ def _output_writer(net, time_steps, ow_path=None): sink = pp.create_sink(net, junction=j2, mdot_kg_per_s=2, name="Sink") # create branch elements -sections = 36 +sections = 74 nodes = 2 length = 1 pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=.0472, sections=sections, @@ -76,9 +76,9 @@ def _output_writer(net, time_steps, ow_path=None): time_steps = range(100) dt = 60 -iterations = 20 +iterations = 3000 ow = _output_writer(net, time_steps, ow_path=tempfile.gettempdir()) -run_timeseries(net, time_steps, transient=transient_transfer, mode="all", dt=dt, +run_timeseries(net, time_steps, dynamic_sim=True, transient=transient_transfer, mode="all", dt=dt, reuse_internal_data=True, iter=iterations) if transient_transfer: @@ -116,4 +116,6 @@ def _output_writer(net, time_steps, ow_path=None): ax.set_ylim((280, 335)) ax.legend() fig.canvas.draw() -plt.show() \ No newline at end of file +plt.show() + +print(net.res_internal) diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py index 11b3e016..2c75539d 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py +++ b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py @@ -84,7 +84,7 @@ def _output_writer(net, time_steps, ow_path=None): dt = 60 iterations = 20 ow = _output_writer(net, time_steps, ow_path=tempfile.gettempdir()) -run_timeseries(net, time_steps, transient=transient_transfer, mode="all", dt=dt, +run_timeseries(net, time_steps, dynamic_sim=True, transient=transient_transfer, mode="all", dt=dt, reuse_internal_data=True, iter=iterations) res_T = ow.np_results["res_internal.t_k"] From 401942d90055b2b4a4c788e32101928a29c8e3a7 Mon Sep 17 00:00:00 2001 From: qlyons Date: Tue, 21 Feb 2023 15:09:52 +0100 Subject: [PATCH 19/35] UniSim density chart, hex - record power values --- .../heat_exchanger_component.py | 6 +++--- pandapipes/pf/result_extraction.py | 8 +++---- .../properties/water/density_UniSim.txt | 21 +++++++++++++++++++ 3 files changed, 28 insertions(+), 7 deletions(-) create mode 100644 pandapipes/properties/water/density_UniSim.txt diff --git a/pandapipes/component_models/heat_exchanger_component.py b/pandapipes/component_models/heat_exchanger_component.py index abbb2259..e7883b64 100644 --- a/pandapipes/component_models/heat_exchanger_component.py +++ b/pandapipes/component_models/heat_exchanger_component.py @@ -64,7 +64,7 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches required_results = [ ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), - ("vdot_norm_m3_per_s", "vf"), ("lambda", "lambda"), ("reynolds", "reynolds") + ("vdot_norm_m3_per_s", "vf"), ("lambda", "lambda"), ("reynolds", "reynolds"), ("qext_w", "qext_w") ] if get_fluid(net).is_gas: @@ -124,9 +124,9 @@ def get_result_table(cls, net): output = ["v_from_m_per_s", "v_to_m_per_s", "v_mean_m_per_s", "p_from_bar", "p_to_bar", "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", "vdot_norm_m3_per_s", "reynolds", "lambda", "normfactor_from", - "normfactor_to"] + "normfactor_to", "qext_w"] else: output = ["v_mean_m_per_s", "p_from_bar", "p_to_bar", "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", "vdot_norm_m3_per_s", "reynolds", - "lambda"] + "lambda", "qext_w"] return output, True diff --git a/pandapipes/pf/result_extraction.py b/pandapipes/pf/result_extraction.py index ac6abb1f..d3ce09c4 100644 --- a/pandapipes/pf/result_extraction.py +++ b/pandapipes/pf/result_extraction.py @@ -2,7 +2,7 @@ from pandapipes.constants import NORMAL_PRESSURE, NORMAL_TEMPERATURE from pandapipes.idx_branch import ELEMENT_IDX, FROM_NODE, TO_NODE, LOAD_VEC_NODES, VINIT, RE, \ - LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL, DESIRED_MV, ACTUAL_POS + LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL, DESIRED_MV, ACTUAL_POS, QEXT from pandapipes.idx_node import TABLE_IDX as TABLE_IDX_NODE, PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.internals_toolbox import _sum_by_group from pandapipes.pf.pipeflow_setup import get_table_number, get_lookup, get_net_option @@ -27,11 +27,11 @@ def extract_all_results(net, nodes_connected, branches_connected): branch_pit = net["_pit"]["branch"] node_pit = net["_pit"]["node"] v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl, desired_mv, \ - actual_pos = get_basic_branch_results(net, branch_pit, node_pit) + actual_pos, qext_w = get_basic_branch_results(net, branch_pit, node_pit) branch_results = {"v_mps": v_mps, "mf_from": mf, "mf_to": -mf, "vf": vf, "p_from": p_from, "p_to": p_to, "from_nodes": from_nodes, "to_nodes": to_nodes, "temp_from": temp_from, "temp_to": temp_to, "reynolds": reynolds, - "lambda": _lambda, "pl": pl, "actual_pos": actual_pos, "desired_mv": desired_mv} + "lambda": _lambda, "pl": pl, "actual_pos": actual_pos, "desired_mv": desired_mv, "qext_w": qext_w} if get_fluid(net).is_gas: if get_net_option(net, "use_numba"): v_gas_from, v_gas_to, v_gas_mean, p_abs_from, p_abs_to, p_abs_mean, normfactor_from, \ @@ -63,7 +63,7 @@ def get_basic_branch_results(net, branch_pit, node_pit): vf = mf / get_fluid(net).get_density((t0 + t1) / 2) return branch_pit[:, VINIT], mf, vf, from_nodes, to_nodes, t0, t1, branch_pit[:, RE], \ branch_pit[:, LAMBDA], node_pit[from_nodes, PINIT], node_pit[to_nodes, PINIT], \ - branch_pit[:, PL], branch_pit[:, DESIRED_MV], branch_pit[:, ACTUAL_POS] + branch_pit[:, PL], branch_pit[:, DESIRED_MV], branch_pit[:, ACTUAL_POS], branch_pit[:, QEXT] def get_branch_results_gas(net, branch_pit, node_pit, from_nodes, to_nodes, v_mps, p_from, p_to): diff --git a/pandapipes/properties/water/density_UniSim.txt b/pandapipes/properties/water/density_UniSim.txt new file mode 100644 index 00000000..a8224c32 --- /dev/null +++ b/pandapipes/properties/water/density_UniSim.txt @@ -0,0 +1,21 @@ +# @ 500 kPa +274 1025 +277 1023 +283 1019 +288 1015 +293 1011 +298 1008 +303 1004 +308 1000 +313 996.2 +318 992.4 +323 988.5 +328 984.6 +333 980.7 +338 976.8 +343 972.8 +348 968.8 +353 964.7 +358 960.7 +363 956.6 +368 952.4 \ No newline at end of file From 5a3b9bd2ce0dddea47238b27d1a31a34942a6788 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 23 Feb 2023 11:14:40 +0100 Subject: [PATCH 20/35] Mod to Pipeflow initialisation of transient-mode --- .../component_models/dynamic_valve_component.py | 9 ++++----- pandapipes/pipeflow.py | 15 +++++++++------ 2 files changed, 13 insertions(+), 11 deletions(-) diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index ad540465..39c8abf9 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -66,10 +66,10 @@ def create_pit_branch_entries(cls, net, branch_pit): # # Update in_service status if valve actual position becomes 0% - # if valve_pit[:, ACTUAL_POS] > 0: - # valve_pit[:, ACTIVE] = True - # else: - # valve_pit[:, ACTIVE] = False + if valve_pit[:, ACTUAL_POS] > 0: + valve_pit[:, ACTIVE] = True + else: + valve_pit[:, ACTIVE] = False std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values @@ -146,7 +146,6 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo lift = np.divide(actual_pos, 100) relative_flow = np.array(list(map(lambda x, y: x.get_relative_flow(y), fcts, lift))) - kv_at_travel = relative_flow * valve_pit[:, Kv_max] # m3/h.Bar delta_p = np.abs(p_from - p_to) # bar diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 2812089c..5bf78317 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -74,12 +74,15 @@ def pipeflow(net, sol_vec=None, **kwargs): if get_net_option(net, "dynamic_sim"): if get_net_option(net, "time_step") is None: set_net_option(net, "time_step", 0) - if get_net_option(net, "transient") and get_net_option(net, "time_step") != 0: - branch_pit = net["_active_pit"]["branch"] - node_pit = net["_active_pit"]["node"] - else: - create_lookups(net) - node_pit, branch_pit = initialize_pit(net) + #if get_net_option(net, "transient") and get_net_option(net, "time_step") != 0: + #branch_pit = net["_active_pit"]["branch"] + #node_pit = net["_active_pit"]["node"] + #create_lookups(net) + #node_pit, branch_pit = initialize_pit(net) + #else: + create_lookups(net) + node_pit, branch_pit = initialize_pit(net) + if (len(node_pit) == 0) & (len(branch_pit) == 0): logger.warning("There are no node and branch entries defined. This might mean that your net" " is empty") From cbd697237c37e62075f55b00af71cbe37307d5a7 Mon Sep 17 00:00:00 2001 From: qlyons Date: Mon, 27 Feb 2023 13:15:26 +0100 Subject: [PATCH 21/35] mod to active branches in transient sim --- pandapipes/idx_branch.py | 8 ++++---- pandapipes/pipeflow.py | 14 ++++++-------- 2 files changed, 10 insertions(+), 12 deletions(-) diff --git a/pandapipes/idx_branch.py b/pandapipes/idx_branch.py index 082de45a..613523bb 100644 --- a/pandapipes/idx_branch.py +++ b/pandapipes/idx_branch.py @@ -38,13 +38,13 @@ QEXT = 33 # heat input in [W] TEXT = 34 STD_TYPE = 35 -PL = 36 # Pressure lift.?? +PL = 36 # Pressure lift [bar] TL = 37 # Temperature lift [K] BRANCH_TYPE = 38 # branch type relevant for the pressure controller PRESSURE_RATIO = 39 # boost ratio for compressors with proportional pressure lift T_OUT_OLD = 40 -Kv_max= 41 # dynamic valve flow characteristics -DESIRED_MV= 42 # Final Control Element (FCE) Desired Manipulated Value percentage opened -ACTUAL_POS= 43 # Final Control Element (FCE) Actual Position Value percentage opened +Kv_max = 41 # dynamic valve flow characteristics +DESIRED_MV = 42 # Final Control Element (FCE) Desired Manipulated Value percentage opened +ACTUAL_POS = 43 # Final Control Element (FCE) Actual Position Value percentage opened branch_cols = 44 \ No newline at end of file diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 5bf78317..2ed0836a 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -74,14 +74,12 @@ def pipeflow(net, sol_vec=None, **kwargs): if get_net_option(net, "dynamic_sim"): if get_net_option(net, "time_step") is None: set_net_option(net, "time_step", 0) - #if get_net_option(net, "transient") and get_net_option(net, "time_step") != 0: - #branch_pit = net["_active_pit"]["branch"] - #node_pit = net["_active_pit"]["node"] - #create_lookups(net) - #node_pit, branch_pit = initialize_pit(net) - #else: - create_lookups(net) - node_pit, branch_pit = initialize_pit(net) + if get_net_option(net, "transient") and get_net_option(net, "time_step") != 0: + branch_pit = net["_pit"]["branch"] + node_pit = net["_pit"]["node"] + else: + create_lookups(net) + node_pit, branch_pit = initialize_pit(net) if (len(node_pit) == 0) & (len(branch_pit) == 0): logger.warning("There are no node and branch entries defined. This might mean that your net" From 94d94e35b3233a7cab63b9902f60689ae2bbe057 Mon Sep 17 00:00:00 2001 From: qlyons Date: Tue, 28 Feb 2023 09:01:29 +0100 Subject: [PATCH 22/35] changes to dt in PID and lag functions, edit to valve area for velocity calculation --- .../component_models/dynamic_circulation_pump_component.py | 2 +- pandapipes/component_models/dynamic_valve_component.py | 5 +++-- pandapipes/component_models/heat_exchanger_component.py | 6 ++++++ pandapipes/control/controller/differential_control.py | 1 + pandapipes/control/controller/pid_controller.py | 2 +- 5 files changed, 12 insertions(+), 4 deletions(-) diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 66b6d7e2..12adeb0d 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -122,7 +122,7 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - dt = 1 #net['_options']['dt'] + dt = net['_options']['dt'] circ_pump_tbl = net[cls.table_name()] junction_lookup = get_lookup(net, "node", "index")[ cls.get_connected_node_type().table_name()] fn_col, tn_col = cls.from_to_node_cols() diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 39c8abf9..56827038 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -58,7 +58,7 @@ def create_pit_branch_entries(cls, net, branch_pit): """ valve_grids = net[cls.table_name()] valve_pit = super().create_pit_branch_entries(net, branch_pit) - valve_pit[:, D] = net[cls.table_name()].diameter_m.values + valve_pit[:, D] = 0.1 #net[cls.table_name()].diameter_m.values valve_pit[:, AREA] = valve_pit[:, D] ** 2 * np.pi / 4 valve_pit[:, Kv_max] = net[cls.table_name()].Kv_max.values valve_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values @@ -117,7 +117,7 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - dt = 1 #net['_options']['dt'] + dt = net['_options']['dt'] f, t = idx_lookups[cls.table_name()] dyn_valve_tbl = net[cls.table_name()] valve_pit = branch_pit[f:t, :] @@ -128,6 +128,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo to_nodes = valve_pit[:, TO_NODE].astype(np.int32) p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values desired_mv = valve_pit[:, DESIRED_MV] if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: diff --git a/pandapipes/component_models/heat_exchanger_component.py b/pandapipes/component_models/heat_exchanger_component.py index e7883b64..cdd414fc 100644 --- a/pandapipes/component_models/heat_exchanger_component.py +++ b/pandapipes/component_models/heat_exchanger_component.py @@ -79,6 +79,12 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches extract_branch_results_without_internals(net, branch_results, required_results, cls.table_name(), branches_connected) + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + f, t = idx_lookups[cls.table_name()] + heat_exchanger_pit = branch_pit[f:t, :] + heat_exchanger_pit[:, QEXT] = net[cls.table_name()].qext_w.values + @classmethod def calculate_temperature_lift(cls, net, branch_component_pit, node_pit): """ diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py index 48b8f5eb..fcb33bc3 100644 --- a/pandapipes/control/controller/differential_control.py +++ b/pandapipes/control/controller/differential_control.py @@ -103,6 +103,7 @@ def time_step(self, net, time): preserving the initial net state. """ self.applied = False + self.dt = net['_options']['dt'] # Differential calculation pv_1 = net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] pv_2 = net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2] diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index c1c14e66..488f2ced 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -125,7 +125,7 @@ def time_step(self, net, time): preserving the initial net state. """ self.applied = False - self.dt = 1 #net['_options']['dt'] + self.dt = net['_options']['dt'] self.pv = net[self.process_element][self.process_variable].loc[self.process_element_index] From 75a0f33982d2ad148cd8471b128fb4be0b0f8aa7 Mon Sep 17 00:00:00 2001 From: qlyons Date: Tue, 7 Mar 2023 11:13:43 +0100 Subject: [PATCH 23/35] Updates in Vlv for multi-component arrays, Additional Pump Curves --- pandapipes/component_models/__init__.py | 1 + .../dynamic_circulation_pump_component.py | 28 +- .../dynamic_pump_component.py | 287 ++++++++++++++++++ .../dynamic_valve_component.py | 59 ++-- .../controller/differential_control.py | 20 +- .../control/controller/pid_controller.py | 21 +- pandapipes/create.py | 72 ++++- pandapipes/pf/result_extraction.py | 10 +- pandapipes/pipeflow.py | 1 + .../PumpCurve_100_3285rpm.csv | 10 + .../PumpCurve_40_1440rpm.csv | 11 + .../PumpCurve_60_2160rpm.csv | 10 + .../PumpCurve_80_2880rpm.csv | 10 + .../PumpCurve_100_3285rpm.csv | 17 +- .../PumpCurve_40_1440rpm.csv | 12 + .../PumpCurve_49_1614rpm.csv | 7 - .../PumpCurve_60_2160rpm.csv | 11 + .../PumpCurve_70_2315rpm.csv | 7 - .../PumpCurve_80_2880rpm.csv | 11 + .../PumpCurve_90_2974rpm.csv | 8 - .../library/Dynamic_Valve/globe_Kvs_1-6.csv | 14 + .../library/Dynamic_Valve/globe_Kvs_2-5.csv | 2 +- pandapipes/test/pipeflow_internals/res_T.xlsx | Bin 0 -> 74717 bytes 23 files changed, 541 insertions(+), 88 deletions(-) create mode 100644 pandapipes/component_models/dynamic_pump_component.py create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv delete mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv delete mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv delete mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1-6.csv create mode 100644 pandapipes/test/pipeflow_internals/res_T.xlsx diff --git a/pandapipes/component_models/__init__.py b/pandapipes/component_models/__init__.py index ecebe4ab..094b658e 100644 --- a/pandapipes/component_models/__init__.py +++ b/pandapipes/component_models/__init__.py @@ -7,6 +7,7 @@ from pandapipes.component_models.valve_component import * from pandapipes.component_models.dynamic_valve_component import * from pandapipes.component_models.dynamic_circulation_pump_component import * +from pandapipes.component_models.dynamic_pump_component import * from pandapipes.component_models.ext_grid_component import * from pandapipes.component_models.sink_component import * from pandapipes.component_models.source_component import * diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 12adeb0d..4d22ffae 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -122,7 +122,7 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - dt = net['_options']['dt'] + dt = 1 #net['_options']['dt'] circ_pump_tbl = net[cls.table_name()] junction_lookup = get_lookup(net, "node", "index")[ cls.get_connected_node_type().table_name()] fn_col, tn_col = cls.from_to_node_cols() @@ -139,6 +139,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo flow_nodes[p_grids], cls) q_kg_s = - (sum_mass_flows / counts)[inverse_nodes] vol_m3_s = np.divide(q_kg_s, rho) + vol_ms_h = vol_m3_s * 3600 desired_mv = circ_pump_tbl.desired_mv.values if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: @@ -173,10 +174,27 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo t_flow_k = node_pit[return_node, TINIT_NODE] p_static = circ_pump_tbl.p_static_circuit.values - # update the 'FROM' node i.e: discharge node temperature and pressure lift - update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, prsr_lift + p_static, - t_flow_k, cls.get_connected_node_type()) - + # update the 'FROM' node i.e: discharge node temperature and pressure lift updates + update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, (prsr_lift + p_static), t_flow_k, + cls.get_connected_node_type(), "pt") + +# we can't update temp here or else each newton iteration will update the temp!! + # @classmethod + # def calculate_derivatives_thermal(cls, net, branch_pit, node_pit, idx_lookups, options): + # + # super().calculate_derivatives_thermal(net, branch_pit, node_pit, idx_lookups, options) + # fn_col, tn_col = cls.from_to_node_cols() + # circ_pump_tbl = net[cls.table_name()] + # return_junctions = circ_pump_tbl[fn_col].values + # junction_lookup = get_lookup(net, "node", "index")[cls.get_connected_node_type().table_name()] + # return_node = junction_lookup[return_junctions] + # + # junction = net[cls.table_name()][cls.from_to_node_cols()[1]].values + # t_flow_k = node_pit[return_node, TINIT_NODE] + # + # # update the 'FROM' node i.e: discharge node temperature and pressure lift updates + # update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, None, t_flow_k, + # cls.get_connected_node_type(), "t") @classmethod def get_result_table(cls, net): """ diff --git a/pandapipes/component_models/dynamic_pump_component.py b/pandapipes/component_models/dynamic_pump_component.py new file mode 100644 index 00000000..a9fe4004 --- /dev/null +++ b/pandapipes/component_models/dynamic_pump_component.py @@ -0,0 +1,287 @@ +# Copyright (c) 2020-2023 by Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel, and University of Kassel. All rights reserved. +# Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. + +from operator import itemgetter + +import numpy as np +from numpy import dtype + +from pandapipes.component_models.junction_component import Junction +from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ + BranchWZeroLengthComponent +from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION, \ + GRAVITATION_CONSTANT +from pandapipes.idx_branch import STD_TYPE, VINIT, D, AREA, TL, LOSS_COEFFICIENT as LC, FROM_NODE, \ + TINIT, PL, Kv_max, ACTUAL_POS, DESIRED_MV, RHO +from pandapipes.idx_node import PINIT, PAMB, TINIT as TINIT_NODE +from pandapipes.pf.pipeflow_setup import get_fluid, get_net_option, get_lookup +from pandapipes.pf.result_extraction import extract_branch_results_without_internals + +try: + import pandaplan.core.pplog as logging +except ImportError: + import logging + +logger = logging.getLogger(__name__) + + +class DynamicPump(BranchWZeroLengthComponent): + """ + """ + # class attributes + kwargs = None + prev_act_pos = None + time_step = 0 + + @classmethod + def from_to_node_cols(cls): + return "from_junction", "to_junction" + + @classmethod + def table_name(cls): + return "dynamic_pump" + + @classmethod + def active_identifier(cls): + return "in_service" + + @classmethod + def get_connected_node_type(cls): + return Junction + + @classmethod + def create_pit_branch_entries(cls, net, branch_pit): + """ + Function which creates pit branch entries with a specific table. + :param net: The pandapipes network + :type net: pandapipesNet + :param branch_pit: + :type branch_pit: + :return: No Output. + """ + pump_pit = super().create_pit_branch_entries(net, branch_pit) + std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + pump_pit[pos, STD_TYPE] = std_type + pump_pit[:, D] = 0.1 + pump_pit[:, AREA] = pump_pit[:, D] ** 2 * np.pi / 4 + pump_pit[:, LC] = 0 + pump_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values + pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values + + @classmethod + def plant_dynamics(cls, dt, desired_mv): + """ + Takes in the desired valve position (MV value) and computes the actual output depending on + equipment lag parameters. + Returns Actual valve position + """ + + if cls.kwargs.__contains__("act_dynamics"): + typ = cls.kwargs['act_dynamics'] + else: + # default to instantaneous + return desired_mv + + # linear + if typ == "l": + + # TODO: equation for linear + actual_pos = desired_mv + + # first order + elif typ == "fo": + + a = np.divide(dt, cls.kwargs['time_const_s'] + dt) + actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + + cls.prev_act_pos = actual_pos + + # second order + elif typ == "so": + # TODO: equation for second order + actual_pos = desired_mv + + else: + # instantaneous - when incorrect option selected + actual_pos = desired_mv + + return actual_pos + + @classmethod + def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): + # calculation of pressure lift + dt = 1 # net['_options']['dt'] + f, t = idx_lookups[cls.table_name()] + dyn_pump_tbl = net[cls.table_name()] + pump_pit = branch_pit[f:t, :] + area = pump_pit[:, AREA] + idx = pump_pit[:, STD_TYPE].astype(int) + std_types = np.array(list(net.std_types['pump'].keys()))[idx] + from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) + # to_nodes = pump_pit[:, TO_NODE].astype(np.int32) + fluid = get_fluid(net) + p_from = node_pit[from_nodes, PAMB] + node_pit[from_nodes, PINIT] + # p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] + numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] + v_mps = pump_pit[:, VINIT] + desired_mv = dyn_pump_tbl.desired_mv.values + + if fluid.is_gas: + # consider volume flow at inlet + normfactor_from = numerator * fluid.get_property("compressibility", p_from) \ + / (p_from * NORMAL_TEMPERATURE) + v_mean = v_mps * normfactor_from + else: + v_mean = v_mps + + vol_m3_s = v_mean * area + + if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: + # a controller timeseries is running + actual_pos = cls.plant_dynamics(dt, desired_mv) + dyn_pump_tbl.actual_pos = actual_pos + cls.time_step += 1 + + else: # Steady state analysis + actual_pos = dyn_pump_tbl.actual_pos.values + + std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) + std_type, pos = np.where(net[cls.table_name()]['std_type'].values + == std_types_lookup[:, np.newaxis]) + std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) + fcts = [fcts] if not isinstance(fcts, tuple) else fcts + m_head = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol_m3_s, actual_pos))) # m head + rho= pump_pit[:, RHO] + prsr_lift = np.divide((rho * GRAVITATION_CONSTANT * m_head), P_CONVERSION)[0] # bar + dyn_pump_tbl.p_lift = prsr_lift + dyn_pump_tbl.m_head = m_head + pump_pit[:, PL] = prsr_lift + + @classmethod + def calculate_temperature_lift(cls, net, branch_component_pit, node_pit): + """ + :param net: + :type net: + :param branch_component_pit: + :type branch_component_pit: + :param node_pit: + :type node_pit: + :return: + :rtype: + """ + branch_component_pit[:, TL] = 0 + + @classmethod + def extract_results(cls, net, options, branch_results, nodes_connected, branches_connected): + """ + Function that extracts certain results. + :param nodes_connected: + :type nodes_connected: + :param branches_connected: + :type branches_connected: + :param branch_results: + :type branch_results: + :param net: The pandapipes network + :type net: pandapipesNet + :param options: + :type options: + :return: No Output. + """ + calc_compr_pow = options['calc_compression_power'] + + required_results = [ + ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), + ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), + ("vdot_norm_m3_per_s", "vf"), ("deltap_bar", "pl"), ("desired_mv", "desired_mv"), + ("actual_pos", "actual_pos") + ] + + if get_fluid(net).is_gas: + required_results.extend([ + ("v_from_m_per_s", "v_gas_from"), ("v_to_m_per_s", "v_gas_to"), + ("normfactor_from", "normfactor_from"), ("normfactor_to", "normfactor_to") + ]) + else: + required_results.extend([("v_mean_m_per_s", "v_mps")]) + + extract_branch_results_without_internals(net, branch_results, required_results, + cls.table_name(), branches_connected) + + if calc_compr_pow: + f, t = get_lookup(net, "branch", "from_to")[cls.table_name()] + res_table = net["res_" + cls.table_name()] + if net.fluid.is_gas: + p_from = branch_results["p_from"][f:t] + p_to = branch_results["p_to"][f:t] + from_nodes = branch_results["from_nodes"][f:t] + t0 = net["_pit"]["node"][from_nodes, TINIT_NODE] + mf_sum_int = branch_results["mf_from"][f:t] + # calculate ideal compression power + compr = get_fluid(net).get_property("compressibility", p_from) + try: + molar_mass = net.fluid.get_molar_mass() # [g/mol] + except UserWarning: + logger.error('Molar mass is missing in your fluid. Before you are able to ' + 'retrieve the compression power make sure that the molar mass is' + ' defined') + else: + r_spec = 1e3 * R_UNIVERSAL / molar_mass # [J/(kg * K)] + # 'kappa' heat capacity ratio: + k = 1.4 # TODO: implement proper calculation of kappa + w_real_isentr = (k / (k - 1)) * r_spec * compr * t0 * \ + (np.divide(p_to, p_from) ** ((k - 1) / k) - 1) + res_table['compr_power_mw'].values[:] = \ + w_real_isentr * np.abs(mf_sum_int) / 10 ** 6 + else: + vf_sum_int = branch_results["vf"][f:t] + pl = branch_results["pl"][f:t] + res_table['compr_power_mw'].values[:] = pl * P_CONVERSION * vf_sum_int / 10 ** 6 + + @classmethod + def get_component_input(cls): + """ + Get component input. + :return: + :rtype: + """ + return [("name", dtype(object)), + ("from_junction", "u4"), + ("to_junction", "u4"), + ("std_type", dtype(object)), + ("in_service", 'bool'), + ("actual_pos", "f8"), + ("p_lift", "f8"), + ('m_head', "f8"), + ("type", dtype(object))] + + @classmethod + def get_result_table(cls, net): + """ + Gets the result table. + :param net: The pandapipes network + :type net: pandapipesNet + :return: (columns, all_float) - the column names and whether they are all float type. Only + if False, returns columns as tuples also specifying the dtypes + :rtype: (list, bool) + """ + calc_compr_pow = get_net_option(net, 'calc_compression_power') + + if get_fluid(net).is_gas: + output = ["deltap_bar", + "v_from_m_per_s", "v_to_m_per_s", + "p_from_bar", "p_to_bar", + "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", + "vdot_norm_m3_per_s", "normfactor_from", "normfactor_to", "desired_mv", "actual_pos"] + # TODO: inwieweit sind diese Angaben bei imaginärem Durchmesser sinnvoll? + else: + output = ["deltap_bar", "v_mean_m_per_s", "p_from_bar", "p_to_bar", "t_from_k", + "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", "vdot_norm_m3_per_s", + "desired_mv", "actual_pos"] + if calc_compr_pow: + output += ["compr_power_mw"] + + return output, True \ No newline at end of file diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 56827038..8e6fd0fe 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -65,11 +65,11 @@ def create_pit_branch_entries(cls, net, branch_pit): valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values - # # Update in_service status if valve actual position becomes 0% - if valve_pit[:, ACTUAL_POS] > 0: - valve_pit[:, ACTIVE] = True - else: - valve_pit[:, ACTIVE] = False + # # # Update in_service status if valve actual position becomes 0% + # if valve_pit[:, ACTUAL_POS] > 0: + # valve_pit[:, ACTIVE] = True + # else: + # valve_pit[:, ACTIVE] = False std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values @@ -117,7 +117,7 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - dt = net['_options']['dt'] + dt = 1 #net['_options']['dt'] f, t = idx_lookups[cls.table_name()] dyn_valve_tbl = net[cls.table_name()] valve_pit = branch_pit[f:t, :] @@ -130,15 +130,19 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo p_to = node_pit[to_nodes, PAMB] + node_pit[to_nodes, PINIT] valve_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values desired_mv = valve_pit[:, DESIRED_MV] + cur_actual_pos = valve_pit[:, ACTUAL_POS] - if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: + if get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running actual_pos = cls.plant_dynamics(dt, desired_mv) + # Account for nan's when FCE are in manual + update_pos = np.where(np.isnan(actual_pos)) + actual_pos[update_pos] = cur_actual_pos[update_pos] valve_pit[:, ACTUAL_POS] = actual_pos dyn_valve_tbl.actual_pos = actual_pos cls.time_step += 1 - else: # Steady state analysis + else: # Steady state analysis - recycle for Newton-Raphson loop actual_pos = valve_pit[:, ACTUAL_POS] fcts = itemgetter(*std_types)(net['std_types']['dynamic_valve']) @@ -150,28 +154,29 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo kv_at_travel = relative_flow * valve_pit[:, Kv_max] # m3/h.Bar delta_p = np.abs(p_from - p_to) # bar + #if get_net_option(net, "time_step") == None or get_net_option(net, "time_step") == cls.time_step: + # On first loop initialise delta P to 0.1 if delta is zero + #delta_p = np.where(delta_p == 0, 0.1, delta_p) + #delta_p = np.where(np.ma.masked_where(delta_p == 0, lift == 1.0).mask, 0.1, delta_p) + positions_delta_p = np.where(delta_p == 0.0) + positions_lift = np.where(lift != 1.0) + # get common element positions + intersect = np.intersect1d(positions_delta_p, positions_lift) + # Set delta_p equal to 0.1 where lift is not 1 + delta_p[intersect] = 0.1 + q_m3_h = kv_at_travel * np.sqrt(delta_p) q_m3_s = np.divide(q_m3_h, 3600) v_mps = np.divide(q_m3_s, area) rho = valve_pit[:, RHO] - if v_mps == 0: - zeta = 0 - else: - zeta = np.divide(q_m3_h**2 * 2 * 100000, kv_at_travel**2 * rho * v_mps**2) - # Issue with 1st loop initialisation, when delta_p == 0, zeta remains 0 for entire iteration - if np.isnan(v_mps): - zeta = 0.1 - valve_pit[:, LC] = zeta - - ''' + # only calculate at valid entries of v_mps, else error handling is required + update_pos = np.where(v_mps != 0) + valid_zetas = np.divide(q_m3_h[update_pos] ** 2 * 2 * 100000, kv_at_travel[update_pos] ** 2 * \ + rho[update_pos] * v_mps[update_pos] ** 2) + zeta = np.zeros_like(v_mps) + zeta[update_pos] = valid_zetas - ### For pressure Lift calculation '' - v_mps = valve_pit[:, VINIT] - vol_m3_s = v_mps * area # m3_s - vol_m3_h = vol_m3_s * 3600 - delta_p = np.divide(vol_m3_h**2, kv_at_travel**2) # bar - valve_pit[:, PL] = delta_p - ''' + valve_pit[:, LC] = zeta @classmethod def calculate_temperature_lift(cls, net, valve_pit, node_pit): @@ -210,7 +215,7 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), ("vdot_norm_m3_per_s", "vf"), ("lambda", "lambda"), ("reynolds", "reynolds"), ("desired_mv", "desired_mv"), - ("actual_pos", "actual_pos") + ("actual_pos", "actual_pos"), ("LC", "LC") ] if get_fluid(net).is_gas: @@ -243,5 +248,5 @@ def get_result_table(cls, net): else: output = ["v_mean_m_per_s", "p_from_bar", "p_to_bar", "t_from_k", "t_to_k", "mdot_from_kg_per_s", "mdot_to_kg_per_s", "vdot_norm_m3_per_s", "reynolds", - "lambda", "desired_mv", "actual_pos"] + "lambda", "desired_mv", "actual_pos", "LC"] return output, True diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py index fcb33bc3..b08bfb94 100644 --- a/pandapipes/control/controller/differential_control.py +++ b/pandapipes/control/controller/differential_control.py @@ -7,7 +7,6 @@ from pandapower.toolbox import _detect_read_write_flag, write_to_net from pandapipes.control.controller.collecting_controller import CollectorController - try: import pandaplan.core.pplog as logging except ImportError: @@ -63,9 +62,9 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.MV_min = mv_min self.PV_max = pv_max self.PV_min = pv_min - self.prev_mv = net[fc_element].actual_pos.values - self.prev_mvlag = net[fc_element].actual_pos.values - self.prev_act_pos = net[fc_element].actual_pos.values + self.prev_mv = net[fc_element].loc[fc_element_index, 'actual_pos'] + self.prev_mvlag = net[fc_element].loc[fc_element_index, 'actual_pos'] + self.prev_act_pos = net[fc_element].loc[fc_element_index, 'actual_pos'] self.prev_error = 0 self.dt = 1 self.dir_reversed = dir_reversed @@ -103,16 +102,21 @@ def time_step(self, net, time): preserving the initial net state. """ self.applied = False - self.dt = net['_options']['dt'] + self.dt = 1 #net['_options']['dt'] # Differential calculation pv_1 = net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] pv_2 = net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2] self.pv = pv_1 - pv_2 self.cv = self.pv * self.cv_scaler - self.sp = self.data_source.get_time_step_value(time_step=time, - profile_name=self.profile_name, - scale_factor=self.scale_factor) + + if type(self.data_source) is float: + self.sp = self.data_source + else: + self.sp = self.data_source.get_time_step_value(time_step=time, + profile_name=self.profile_name, + scale_factor=self.scale_factor) + if self.auto: # PID is in Automatic Mode diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 488f2ced..03a7a90c 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -61,9 +61,9 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.MV_min = mv_min self.PV_max = pv_max self.PV_min = pv_min - self.prev_mv = net[fc_element].actual_pos.values - self.prev_mvlag = net[fc_element].actual_pos.values - self.prev_act_pos = net[fc_element].actual_pos.values + self.prev_mv = net[fc_element].actual_pos.loc[fc_element_index] + self.prev_mvlag = net[fc_element].actual_pos.loc[fc_element_index] + self.prev_act_pos = net[fc_element].actual_pos.loc[fc_element_index] self.prev_error = 0 self.dt = 1 self.dir_reversed = dir_reversed @@ -125,15 +125,20 @@ def time_step(self, net, time): preserving the initial net state. """ self.applied = False - self.dt = net['_options']['dt'] + self.dt = 1 #net['_options']['dt'] self.pv = net[self.process_element][self.process_variable].loc[self.process_element_index] self.cv = self.pv * self.cv_scaler - self.sp = self.data_source.get_time_step_value(time_step=time, - profile_name=self.profile_name, - scale_factor=self.scale_factor) + + if type(self.data_source) is float: + self.sp = self.data_source + else: + self.sp = self.data_source.get_time_step_value(time_step=time, + profile_name=self.profile_name, + scale_factor=self.scale_factor) + if self.auto: # PID is in Automatic Mode @@ -147,7 +152,7 @@ def time_step(self, net, time): # TODO: hysteresis band # if error < 0.01 : error = 0 - desired_mv = self.pid_control(error_value.values) + desired_mv = self.pid_control(error_value) else: # Write data source directly to controlled variable diff --git a/pandapipes/create.py b/pandapipes/create.py index ae75c3a8..533698c7 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -10,7 +10,7 @@ from pandapipes.component_models import Junction, Sink, Source, Pump, Pipe, ExtGrid, \ HeatExchanger, Valve, CirculationPumpPressure, CirculationPumpMass, PressureControlComponent, \ - Compressor, MassStorage, DynamicValve, DynamicCirculationPump + Compressor, MassStorage, DynamicValve, DynamicCirculationPump, DynamicPump from pandapipes.component_models.component_toolbox import add_new_component from pandapipes.component_models.flow_control_component import FlowControlComponent from pandapipes.pandapipes_net import pandapipesNet, get_basic_net_entries, add_default_components @@ -573,7 +573,7 @@ def create_valve(net, from_junction, to_junction, diameter_m, opened=True, loss_ return index -def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, Kv_max, +def create_dynamic_valve(net, from_junction, to_junction, std_type, Kv_max, actual_pos=50.00, desired_mv=None, in_service=True, name=None, index=None, type='dyn_valve', **kwargs): """ @@ -585,8 +585,8 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, :type from_junction: int :param to_junction: ID of the junction on the other side which the valve will be connected with :type to_junction: int - :param diameter_m: The valve diameter in [m] - :type diameter_m: float + #:param diameter_m: The valve diameter in [m] + #:type diameter_m: float :param Kv_max: Max Dynamic_Valve coefficient in terms of water flow (m3/h.bar) at a constant pressure drop of 1 Bar :type Kv_max: float :param actual_pos: Dynamic_Valve opened percentage, provides the initial valve status @@ -617,10 +617,10 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, diameter_m, index = _get_index_with_check(net, "dynamic_valve", index) _check_branch(net, "DynamicValve", index, from_junction, to_junction) - + # "diameter_m": diameter_m, _check_std_type(net, std_type, "dynamic_valve", "create_dynamic_valve") v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, - "diameter_m": diameter_m, "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv_max": Kv_max, + "actual_pos": actual_pos, "desired_mv": desired_mv, "Kv_max": Kv_max, "std_type": std_type, "type": type, "in_service": in_service} _set_entries(net, "dynamic_valve", index, **v, **kwargs) @@ -676,6 +676,66 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None return index +def create_dyn_pump(net, from_junction, to_junction, std_type, name=None, actual_pos=50.00, desired_mv=None, + index=None, in_service=True, type="dynamic_pump", **kwargs): + """ + Adds one pump in table net["pump"]. + + :param net: The net for which this pump should be created + :type net: pandapipesNet + :param from_junction: ID of the junction on one side which the pump will be connected with + :type from_junction: int + :param to_junction: ID of the junction on the other side which the pump will be connected with + :type to_junction: int + :param std_type: There are currently three different std_types. This std_types are P1, P2, P3.\ + Each of them describes a specific pump behaviour setting volume flow and pressure in\ + context. + :type std_type: string, default None + :param name: A name tag for this pump + :type name: str, default None + :param index: Force a specified ID if it is available. If None, the index one higher than the\ + highest already existing index is selected. + :type index: int, default None + :param in_service: True if the pump is in service or False if it is out of service + :type in_service: bool, default True + :param type: Type variable to classify the pump + :type type: str, default "pump" + :param kwargs: Additional keyword arguments will be added as further columns to the\ + net["pump"] table + :type kwargs: dict + :return: index - The unique ID of the created element + :rtype: int + + EXAMPLE: + >>> create_dyn_pump(net, 0, 1, std_type="P1") + + """ + add_new_component(net, DynamicPump) + + # index = _get_index_with_check(net, "pump", index) + # _check_branch(net, "Pump", index, from_junction, to_junction) + # + # _check_std_type(net, std_type, "pump", "create_dyn_pump") + # v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, + # "std_type": std_type, "in_service": bool(in_service), "type": type} + # _set_entries(net, "pump", index, **v, **kwargs) + + index = _get_index_with_check(net, "dynamic_pump", index, + name="standard dynamic circulation pump") + + _check_branch(net, "standard dynamic circulation pump", index, from_junction, to_junction) + + _check_std_type(net, std_type, "dynamic_pump", "create_dyn_pump") + + v = {"name": name, "from_junction": from_junction, "to_junction": to_junction, + "std_type": std_type, "actual_pos": actual_pos, "desired_mv": desired_mv, + "type": type, "in_service": bool(in_service)} + _set_entries(net, "dynamic_pump", index, **v, **kwargs) + + setattr(DynamicPump, 'kwargs', kwargs) + setattr(DynamicPump, 'prev_act_pos', actual_pos) + + return index def create_pump_from_parameters(net, from_junction, to_junction, new_std_type_name, pressure_list=None, flowrate_list=None, reg_polynomial_degree=None, diff --git a/pandapipes/pf/result_extraction.py b/pandapipes/pf/result_extraction.py index d3ce09c4..7332f6c5 100644 --- a/pandapipes/pf/result_extraction.py +++ b/pandapipes/pf/result_extraction.py @@ -2,7 +2,7 @@ from pandapipes.constants import NORMAL_PRESSURE, NORMAL_TEMPERATURE from pandapipes.idx_branch import ELEMENT_IDX, FROM_NODE, TO_NODE, LOAD_VEC_NODES, VINIT, RE, \ - LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL, DESIRED_MV, ACTUAL_POS, QEXT + LAMBDA, TINIT, FROM_NODE_T, TO_NODE_T, PL, DESIRED_MV, ACTUAL_POS, QEXT, LOSS_COEFFICIENT as LC from pandapipes.idx_node import TABLE_IDX as TABLE_IDX_NODE, PINIT, PAMB, TINIT as TINIT_NODE from pandapipes.pf.internals_toolbox import _sum_by_group from pandapipes.pf.pipeflow_setup import get_table_number, get_lookup, get_net_option @@ -27,11 +27,12 @@ def extract_all_results(net, nodes_connected, branches_connected): branch_pit = net["_pit"]["branch"] node_pit = net["_pit"]["node"] v_mps, mf, vf, from_nodes, to_nodes, temp_from, temp_to, reynolds, _lambda, p_from, p_to, pl, desired_mv, \ - actual_pos, qext_w = get_basic_branch_results(net, branch_pit, node_pit) + actual_pos, qext_w, LC = get_basic_branch_results(net, branch_pit, node_pit) branch_results = {"v_mps": v_mps, "mf_from": mf, "mf_to": -mf, "vf": vf, "p_from": p_from, "p_to": p_to, "from_nodes": from_nodes, "to_nodes": to_nodes, "temp_from": temp_from, "temp_to": temp_to, "reynolds": reynolds, - "lambda": _lambda, "pl": pl, "actual_pos": actual_pos, "desired_mv": desired_mv, "qext_w": qext_w} + "lambda": _lambda, "pl": pl, "actual_pos": actual_pos, "desired_mv": desired_mv, \ + "qext_w": qext_w, "LC": LC} if get_fluid(net).is_gas: if get_net_option(net, "use_numba"): v_gas_from, v_gas_to, v_gas_mean, p_abs_from, p_abs_to, p_abs_mean, normfactor_from, \ @@ -63,7 +64,8 @@ def get_basic_branch_results(net, branch_pit, node_pit): vf = mf / get_fluid(net).get_density((t0 + t1) / 2) return branch_pit[:, VINIT], mf, vf, from_nodes, to_nodes, t0, t1, branch_pit[:, RE], \ branch_pit[:, LAMBDA], node_pit[from_nodes, PINIT], node_pit[to_nodes, PINIT], \ - branch_pit[:, PL], branch_pit[:, DESIRED_MV], branch_pit[:, ACTUAL_POS], branch_pit[:, QEXT] + branch_pit[:, PL], branch_pit[:, DESIRED_MV], branch_pit[:, ACTUAL_POS], branch_pit[:, QEXT], \ + branch_pit[:, LC] def get_branch_results_gas(net, branch_pit, node_pit, from_nodes, to_nodes, v_mps, p_from, p_to): diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index 2ed0836a..bce2c635 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -77,6 +77,7 @@ def pipeflow(net, sol_vec=None, **kwargs): if get_net_option(net, "transient") and get_net_option(net, "time_step") != 0: branch_pit = net["_pit"]["branch"] node_pit = net["_pit"]["node"] + # _active_pit else: create_lookups(net) node_pit, branch_pit = initialize_pit(net) diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv new file mode 100644 index 00000000..25adc317 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv @@ -0,0 +1,10 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 80.14305005; 0; 100; 2 +4.651334287; 77.75859472; 40.54019121; +9.302668575; 75.36089729; 58.80603805; +10.59427568; 74.43303428; 62.04355113; +13.95400286; 71.18775152; 68.35993729; +17.93832266; 59.80712946; 72.99872673; +18.01212383; 59.60422913; 73.03855163; +21.9238981; 48.48218043; 72.26591973; +25.98178486; 36.36683701; 64.28598296; diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv new file mode 100644 index 00000000..523b71f3 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv @@ -0,0 +1,11 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 12.82288801; 0; 40; 2 +1.860533715; 12.44137515; 16.21607648; +3.72106743; 12.05774357; 23.52241522; +4.237710273; 11.90928548; 24.81742045; +5.581601145; 11.39004024; 27.34397492; +7.175329064; 9.569140713; 29.19949069; +7.204849531; 9.536676661; 29.21542065; +8.769559242; 7.757148869; 28.90636789; +10.39271394; 5.818693921; 25.71439319; + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv new file mode 100644 index 00000000..565c125f --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv @@ -0,0 +1,10 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 28.85149802; 0; 60; 2 +2.790800572; 27.9930941; 24.32411472; +5.581601145; 27.12992303; 35.28362283; +6.356565409; 26.79589234; 37.22613068; +8.372401717; 25.62759055; 41.01596237; +10.7629936; 21.5305666; 43.79923604; +10.8072743; 21.45752249; 43.82313098; +13.15433886; 17.45358495; 43.35955184; +15.58907092; 13.09206132; 38.57158978; diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv new file mode 100644 index 00000000..d82aeee9 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_154_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv @@ -0,0 +1,10 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 51.29155203; 0; 80; 2 +3.72106743; 49.76550062; 32.43215297; +7.44213486; 48.23097427; 47.04483044; +8.475420545; 47.63714194; 49.6348409; +11.16320229; 45.56016097; 54.68794983; +14.35065813; 38.27656285; 58.39898139; +14.40969906; 38.14670664; 58.4308413; +17.53911848; 31.02859547; 57.81273578; +20.78542789; 23.27477569; 51.42878637; diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv index f55dcf53..a0aefa4f 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv @@ -1,8 +1,11 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.001;49.95;0.1;100;2 -0.593;48.41;25.1; -1.467;46.28;44.1; -2.391;42.99;53.8; -3.084;39.13;56.8; -4.189;29.66;53.8; -4.99;20;43.4; \ No newline at end of file +0; 57.25887844; 0; 100; 2 +0.890582589; 54.85125411; 31.78366619; +1.43999004 ; 53.37608775; 42.24010275; +1.781165178; 52.3176699 ; 46.8503758; +2.671747767; 48.55511495; 54.50553889; +3.562330356; 42.66247151; 57.07676744; +4.452912944; 34.10145476; 54.00633485; +4.4533436 ; 34.09663809; 54.00320284; +5.343495533; 22.83517592; 43.28568665; + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv new file mode 100644 index 00000000..9cc5bf3c --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv @@ -0,0 +1,12 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 9.16142055; 0; 40; 2 +0.356233036; 8.776200658; 12.71346648; +0.575996016; 8.54017404 ; 16.8960411; +0.712466071; 8.370827184; 18.74015032; +1.068699107; 7.768818392; 21.80221555; +1.424932142; 6.825995442; 22.83070698; +1.781165178; 5.456232762; 21.60253394; +1.78133744 ; 5.455462094; 21.60128114; +2.137398213; 3.653628147; 17.31427466; + + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv deleted file mode 100644 index f45883cc..00000000 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_49_1614rpm.csv +++ /dev/null @@ -1,7 +0,0 @@ -Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.001; 11.88; 0.1; 49.0; 2 -0.492; 10.92; 36.3; -0.73; 10.72; 44.8; -1.12; 9.949; 53.4; -1.698; 8.21; 56.9; -2.391; 4.731; 43.9; diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv new file mode 100644 index 00000000..c6777133 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv @@ -0,0 +1,11 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 20.61319624; 0; 60; 2 +0.534349553; 19.74645148; 19.07019972; +0.863994024; 19.21539159; 25.34406165; +1.068699107; 18.83436116; 28.11022548; +1.60304866 ; 17.47984138; 32.70332333; +2.137398213; 15.35848974; 34.24606046; +2.671747767; 12.27652371; 32.40380091; +2.67200616 ; 12.27478971; 32.4019217; +3.20609732 ; 8.220663331; 25.97141199; + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv deleted file mode 100644 index 5853662a..00000000 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_70_2315rpm.csv +++ /dev/null @@ -1,7 +0,0 @@ -Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.001;24.44;0.1;70;2 -0.687;23.28;35.3; -1.286;22.51;48.7; -1.987;20.19;56.1; -2.889;14.97;54.4; -3.488;9.949;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv new file mode 100644 index 00000000..c6a2af04 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv @@ -0,0 +1,11 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 36.6456822; 0; 80; 2 +0.712466071; 35.10480263; 25.42693296; +1.151992032; 34.16069616; 33.7920822; +1.424932142; 33.48330874; 37.48030064; +2.137398213; 31.07527357; 43.60443111; +2.849864284; 27.30398177; 45.66141395; +3.562330356; 21.82493105; 43.20506788; +3.56267488 ; 21.82184838; 43.20256227; +4.274796427; 14.61451259; 34.62854932; + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv deleted file mode 100644 index 4bfe9754..00000000 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_36_AAAEHQQE_Pump_curves/PumpCurve_90_2974rpm.csv +++ /dev/null @@ -1,8 +0,0 @@ -Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.001;40.1;0.1;90;2 -0.586;38.74;26.9; -1.293;37.2;43.8; -2.29;33.91;54.8; -3.084;29.27;57; -3.835;22.7;52.9; -4.434;16.13;43.7; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1-6.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1-6.csv new file mode 100644 index 00000000..b60f374b --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1-6.csv @@ -0,0 +1,14 @@ +relative_travel;relative_flow;degree +0; 0.014035088; 0 +0.05; 0.019181287; +0.1; 0.023976608; +0.2; 0.036666667; +0.3; 0.056140351; +0.4; 0.085964912; +0.5; 0.129239766; +0.6; 0.198245614; +0.7; 0.301169591; +0.8; 0.455555556; +0.9; 0.678362573; +1; 1; + diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv index 17ebac46..828d9ce4 100644 --- a/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_2-5.csv @@ -1,5 +1,5 @@ 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zk;l@9pWs<%AY3_psT5g~1st3~k9JrdUMR}1{|c*v=)P#;ACWD~#~>N1yc}Bn6YM8(8|jnBeHq{j=SmLU;T^Bz=Pqsy)iabhLJ}CxT98*S zeDGXpg-P0{fImmm_LS(%&1v&`$4!Mgvj~x}Opzt?pT+PDzcyADDVjUa-z-F8y)rcd zZ+-r1QYPQ2{k~A(%lgvfflkH;ocD);4h~R4AZ(zMH#Jet7^E`>am~{OiM~bFqQb~d zvKBQXG8f(M$|<>=U6KqDTdrmBZ@iU0n{183pq`HuUrH%rjJ}-Syt#!Y3gwsDP_?Vr zs~LN0vhzPVOYn;{4LFn}=%xc_C1oWBT`h5?oqSN{!z_BA;tKT!&yH8gL$hxZ$WA^~ zI$iZgHq-Vu*)m1;*ULh>d4!%$O@7&6y0oGtQs&xP*L=a;<$Ti9H$ejHViVW4z5Jp= z0vyHIs&rcJq`je7xD9P<KipRyTx`BDg7Ml+3Hf`oQ=6UXV5Fe~C%hqGl^ zna*^d6FtjN2^DrO(QzR^xb=KktGV*DzwOr{VgIpvj6aQ)u51ftxc{JPdfm>y=8-JC zcaz7HDRu9=cRxNeviS;Q(1aRZ18Q&?O2H2K+m+Iu)3<&IMzIKdn8D|-mme5m2*eg; zW8jK%K}%V=xR3|-ptQ9{WalEdt_@tx@|P&s`$6&ll(s>+BL7P~&OAYonFaz$5dJ-t zf3@HTZ3PViua3EmbVB~#%KTRYQ-m6GC@U1AVL%Px`b!$@-#w%|^s51~;-haPkr=ep zuibyPaxk3ut06z=Ssv)WgNuU$aB$uJTa=X#`p;GTpy0uE@NdCgAPBntPm?_;e9+GS s7B=PoCH((b{lRt)n$q9xs2zv?mth%PrUugmfzW}sI#|J<3Xs+0f3Mj&EC2ui literal 0 HcmV?d00001 From 1fb08c1f6137c3b8866faa5033abd4bb5d2ae337 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 16 Mar 2023 10:02:49 +0100 Subject: [PATCH 24/35] new std types,minor changes to dynamic controllers --- .../dynamic_circulation_pump_component.py | 5 +-- .../dynamic_valve_component.py | 19 ++++++----- .../controller/differential_control.py | 34 ++++++++----------- .../control/controller/pid_controller.py | 33 ++++++++---------- pandapipes/create.py | 11 +++--- .../library/Dynamic_Valve/globe_Kvs_1.csv | 15 ++++++++ pandapipes/std_types/library/Pipe.csv | 19 +++++++++++ 7 files changed, 83 insertions(+), 53 deletions(-) create mode 100644 pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1.csv diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 4d22ffae..7fd62afd 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -122,7 +122,7 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - dt = 1 #net['_options']['dt'] + dt = net['_options']['dt'] circ_pump_tbl = net[cls.table_name()] junction_lookup = get_lookup(net, "node", "index")[ cls.get_connected_node_type().table_name()] fn_col, tn_col = cls.from_to_node_cols() @@ -142,7 +142,8 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo vol_ms_h = vol_m3_s * 3600 desired_mv = circ_pump_tbl.desired_mv.values - if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: + #if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: + if get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running actual_pos = cls.plant_dynamics(dt, desired_mv) circ_pump_tbl.actual_pos = actual_pos diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 8e6fd0fe..a9e88d7d 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -66,10 +66,10 @@ def create_pit_branch_entries(cls, net, branch_pit): # # # Update in_service status if valve actual position becomes 0% - # if valve_pit[:, ACTUAL_POS] > 0: - # valve_pit[:, ACTIVE] = True - # else: - # valve_pit[:, ACTIVE] = False + # vlv_status = valve_pit[:, ACTIVE] + # in_active_pos = np.where(valve_pit[:, ACTUAL_POS] == 0) + # vlv_status[in_active_pos] = 0 + # valve_pit[:, ACTIVE] = vlv_status std_types_lookup = np.array(list(net.std_types[cls.table_name()].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values @@ -117,7 +117,7 @@ def plant_dynamics(cls, dt, desired_mv): @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): - dt = 1 #net['_options']['dt'] + dt = net['_options']['dt'] f, t = idx_lookups[cls.table_name()] dyn_valve_tbl = net[cls.table_name()] valve_pit = branch_pit[f:t, :] @@ -160,9 +160,9 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo #delta_p = np.where(np.ma.masked_where(delta_p == 0, lift == 1.0).mask, 0.1, delta_p) positions_delta_p = np.where(delta_p == 0.0) positions_lift = np.where(lift != 1.0) - # get common element positions + # get common element values (indexes that appear in both position arrays) intersect = np.intersect1d(positions_delta_p, positions_lift) - # Set delta_p equal to 0.1 where lift is not 1 + # Set delta_p equal to 0.1 where lift is not equal 1 and delta-p equals zero delta_p[intersect] = 0.1 q_m3_h = kv_at_travel * np.sqrt(delta_p) @@ -175,7 +175,10 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo rho[update_pos] * v_mps[update_pos] ** 2) zeta = np.zeros_like(v_mps) zeta[update_pos] = valid_zetas - + zeta_reset_1 = np.where(lift == 1.0) + zeta[zeta_reset_1] = 0 + zeta_reset_2 = np.where(lift == 0.0) + zeta[zeta_reset_2] = 20e+20 valve_pit[:, LC] = zeta @classmethod diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py index b08bfb94..4a352668 100644 --- a/pandapipes/control/controller/differential_control.py +++ b/pandapipes/control/controller/differential_control.py @@ -62,9 +62,9 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.MV_min = mv_min self.PV_max = pv_max self.PV_min = pv_min - self.prev_mv = net[fc_element].loc[fc_element_index, 'actual_pos'] - self.prev_mvlag = net[fc_element].loc[fc_element_index, 'actual_pos'] - self.prev_act_pos = net[fc_element].loc[fc_element_index, 'actual_pos'] + self.prev_mv = net[fc_element][fc_variable].loc[fc_element_index] + self.prev_mvlag = net[fc_element][fc_variable].loc[fc_element_index] + self.prev_act_pos = net[fc_element][fc_variable].loc[fc_element_index] self.prev_error = 0 self.dt = 1 self.dir_reversed = dir_reversed @@ -102,7 +102,7 @@ def time_step(self, net, time): preserving the initial net state. """ self.applied = False - self.dt = 1 #net['_options']['dt'] + self.dt = net['_options']['dt'] # Differential calculation pv_1 = net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] pv_2 = net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2] @@ -140,24 +140,20 @@ def time_step(self, net, time): self.ctrl_values = desired_mv # Write desired_mv to the network - if hasattr(self, "ctrl_typ"): - if self.ctrl_typ == "over_ride": - CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, - self.fc_variable, self.ctrl_values, self.selector_typ, - self.write_flag) - else: # self.ctrl_typ == "std": - # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, - # self.ctrl_values, self.write_flag) - # Write the desired MV value to results for future plotting - write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, - self.write_flag) - - else: - # Assume standard External Reset PID controller + if self.ctrl_typ == "over_ride": + CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, + self.fc_variable, self.ctrl_values, self.selector_typ, + self.write_flag) + else: # self.ctrl_typ == "std": + # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, + # self.ctrl_values, self.write_flag) + # Write the desired MV value to results for future plotting write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.write_flag) + + def __str__(self): - return super().__str__() + " [%s.%s]" % (self.element, self.variable) + return super().__str__() + " [%s.%s]" % (self.fc_element, self.fc_variable) diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 03a7a90c..08ca61e0 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -61,9 +61,9 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.MV_min = mv_min self.PV_max = pv_max self.PV_min = pv_min - self.prev_mv = net[fc_element].actual_pos.loc[fc_element_index] - self.prev_mvlag = net[fc_element].actual_pos.loc[fc_element_index] - self.prev_act_pos = net[fc_element].actual_pos.loc[fc_element_index] + self.prev_mv = net[fc_element][fc_variable].loc[fc_element_index] + self.prev_mvlag = net[fc_element][fc_variable].loc[fc_element_index] + self.prev_act_pos = net[fc_element][fc_variable].loc[fc_element_index] self.prev_error = 0 self.dt = 1 self.dir_reversed = dir_reversed @@ -73,11 +73,11 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.process_variable = process_variable self.process_element_index = process_element_index self.cv_scaler = cv_scaler - self.cv = net[self.process_element][self.process_variable].loc[self.process_element_index] + self.cv = net[self.process_element][self.process_variable].loc[self.process_element_index] * cv_scaler self.sp = 0 self.pv = 0 self.prev_sp = 0 - self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] + self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] * cv_scaler self.ctrl_typ = ctrl_typ self.diffgain = 1 # must be between 1 and 10 self.diff_part = 0 @@ -125,7 +125,7 @@ def time_step(self, net, time): preserving the initial net state. """ self.applied = False - self.dt = 1 #net['_options']['dt'] + self.dt = net['_options']['dt'] self.pv = net[self.process_element][self.process_variable].loc[self.process_element_index] @@ -161,20 +161,15 @@ def time_step(self, net, time): self.ctrl_values = desired_mv # Write desired_mv to the network - if hasattr(self, "ctrl_typ"): - if self.ctrl_typ == "over_ride": - CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, - self.fc_variable, self.ctrl_values, self.selector_typ, - self.write_flag) - else: #self.ctrl_typ == "std": - # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, - # self.ctrl_values, self.write_flag) - # Write the desired MV value to results for future plotting - write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, - self.write_flag) - else: - # Assume standard External Reset PID controller + if self.ctrl_typ == "over_ride": + CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, + self.fc_variable, self.ctrl_values, self.selector_typ, + self.write_flag) + else: #self.ctrl_typ == "std": + # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, + # self.ctrl_values, self.write_flag) + # Write the desired MV value to results for future plotting write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.write_flag) diff --git a/pandapipes/create.py b/pandapipes/create.py index 533698c7..25f65ab9 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -574,7 +574,7 @@ def create_valve(net, from_junction, to_junction, diameter_m, opened=True, loss_ def create_dynamic_valve(net, from_junction, to_junction, std_type, Kv_max, - actual_pos=50.00, desired_mv=None, in_service=True, name=None, index=None, + actual_pos=50.00, in_service=True, name=None, index=None, type='dyn_valve', **kwargs): """ Creates a valve element in net["valve"] from valve parameters. @@ -612,7 +612,7 @@ def create_dynamic_valve(net, from_junction, to_junction, std_type, Kv_max, >>> create_dynamic_valve(net, 0, 1, diameter_m=4e-3, name="valve1", Kv_max= 5, actual_pos=44.44) """ - + desired_mv = actual_pos add_new_component(net, DynamicValve) index = _get_index_with_check(net, "dynamic_valve", index) @@ -676,7 +676,7 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None return index -def create_dyn_pump(net, from_junction, to_junction, std_type, name=None, actual_pos=50.00, desired_mv=None, +def create_dyn_pump(net, from_junction, to_junction, std_type, name=None, actual_pos=50.00, index=None, in_service=True, type="dynamic_pump", **kwargs): """ Adds one pump in table net["pump"]. @@ -710,6 +710,7 @@ def create_dyn_pump(net, from_junction, to_junction, std_type, name=None, actual >>> create_dyn_pump(net, 0, 1, std_type="P1") """ + desired_mv = actual_pos add_new_component(net, DynamicPump) # index = _get_index_with_check(net, "pump", index) @@ -818,7 +819,7 @@ def create_pump_from_parameters(net, from_junction, to_junction, new_std_type_na def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_bar, p_static_circuit, std_type, - actual_pos=50.00, desired_mv=None, t_flow_k=None, type="auto", name=None, + actual_pos=50.00, t_flow_k=None, type="auto", name=None, index=None, in_service=True, **kwargs): """ Adds one circulation pump with a constant pressure lift in table net["circ_pump_pressure"]. \n @@ -870,7 +871,7 @@ def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_ba >>> t_flow_k=350, type="p", actual_pos=50) """ - + desired_mv = actual_pos add_new_component(net, DynamicCirculationPump) index = _get_index_with_check(net, "dyn_circ_pump", index, diff --git a/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1.csv b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1.csv new file mode 100644 index 00000000..81db0f86 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Valve/globe_Kvs_1.csv @@ -0,0 +1,15 @@ +relative_travel;relative_flow;degree +0; 0.017272727; 0 +0.05; 0.022727273; +0.1; 0.028181818; +0.2; 0.04; +0.3; 0.06; +0.4; 0.088181818; +0.5; 0.135454545; +0.6; 0.205454545; +0.7; 0.307272727; +0.8; 0.45; +0.9; 0.670909091; +1; 1; + + diff --git a/pandapipes/std_types/library/Pipe.csv b/pandapipes/std_types/library/Pipe.csv index 800b02ed..afd3a6d4 100644 --- a/pandapipes/std_types/library/Pipe.csv +++ b/pandapipes/std_types/library/Pipe.csv @@ -1,4 +1,23 @@ std_type;nominal_width_mm;outer_diameter_mm;inner_diameter_mm;standard_dimension_ratio;material +DR_25St_180PE;25;33.7;25.0;7.74;ST PE 100 +DR_150St_280PE;150;150.0;168.3;18.39;ST PE 100 +DR_125St_250PE;125;125.0;139.7;19.0;ST PE 100 +DR_50St_140PE;50;50.0;60.3;11.7;ST PE 100 +DR_100St_225PE;100;100.0;114.3;15.98;ST PE 100 +DR_65St_160PE;65;65.0;76.1;13.7;ST PE 100 +DR_40St_180PE;40;40.0;48.3;11.63;ST PE 100 +DR_40St_200PE;40;40.0;48.3;11.63;ST PE 100 +DR_32St_200PE;32;32.0;42.4;8.15;ST PE 100 +DR_30St_126PE_flex;30;30.0;42.4;8.15;ST PE 100 +DR_65St_280PE;65;65.0;76.1;13.7;ST PE 100 +DR_80St_315PE;80;80.0;88.9;19.9;ST PE 100 +DR_50St_200PE;50;50.0;60.3;11.7;ST PE 100 +DR_100St_400PE;100;100.0;114.3;15.98;ST PE 100 +DR_200St_355PE;200;200.0;219.1;22.94;ST PE 100 +DR_80St_280PE;80;80.0;88.9;19.9;ST PE 100 +DR_65St_250PE;65;65.0;76.1;13.7;ST PE 100 +DR_50St_250PE;50;50.0;60.3;11.7;ST PE 100 +DR_32St_180PE;32;32.0;42.4;8.15;ST PE 100 80_GGG;80;98.0;86.0;16.33;GGG 100_GGG;100;118.0;105.8;19.34;GGG 125_GGG;125;144.0;131.6;23.23;GGG From bb63c1dc9ac4745a49c2b69664c20bd2b5481c78 Mon Sep 17 00:00:00 2001 From: qlyons Date: Thu, 30 Mar 2023 08:33:04 +0200 Subject: [PATCH 25/35] changes to lag functions, update of pipes + dt param set before runtimeseres loop --- .../dynamic_circulation_pump_component.py | 96 +++++++++--------- .../dynamic_pump_component.py | 98 ++++++++++--------- .../dynamic_valve_component.py | 75 +++++++------- .../control/controller/pid_controller.py | 2 +- .../test_pump/PumpCurve_100_1980rpm.csv | 7 ++ .../test_pump/PumpCurve_50_1000rpm.csv | 7 ++ .../test_pump/PumpCurve_70_1400rpm.csv | 7 ++ .../test_pump/PumpCurve_97_1933rpm.csv | 7 ++ pandapipes/std_types/library/Pipe.csv | 36 +++---- pandapipes/timeseries/run_time_series.py | 3 +- 10 files changed, 190 insertions(+), 148 deletions(-) create mode 100644 pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 7fd62afd..6b0c10dd 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -82,44 +82,58 @@ def create_pit_branch_entries(cls, net, branch_pit): dyn_circ_pump_pit[:, ACTIVE] = False @classmethod - def plant_dynamics(cls, dt, desired_mv): + def plant_dynamics(cls, dt, desired_mv, dyn_pump_tbl): """ Takes in the desired valve position (MV value) and computes the actual output depending on equipment lag parameters. Returns Actual valve position """ - if cls.kwargs.__contains__("act_dynamics"): - typ = cls.kwargs['act_dynamics'] - else: - # default to instantaneous - return desired_mv - - # linear - if typ == "l": - - # TODO: equation for linear - actual_pos = desired_mv - - # first order - elif typ == "fo": - - a = np.divide(dt, cls.kwargs['time_const_s'] + dt) - actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv - - cls.prev_act_pos = actual_pos - - # second order - elif typ == "so": - # TODO: equation for second order - actual_pos = desired_mv + """ + Takes in the desired valve position (MV value) and computes the actual output depending on + equipment lag parameters. + Returns Actual valve position + """ - else: - # instantaneous - when incorrect option selected - actual_pos = desired_mv + time_const_s = dyn_pump_tbl.time_const_s.values + a = np.divide(dt, time_const_s + dt) + actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + cls.prev_act_pos = actual_pos return actual_pos + # Issue with getting array values for different types of valves!! Assume all First Order! + # if cls.kwargs.__contains__("act_dynamics"): + # typ = cls.kwargs['act_dynamics'] + # else: + # # default to instantaneous + # return desired_mv + # + # # linear + # if typ == "l": + # + # # TODO: equation for linear + # actual_pos = desired_mv + # + # # first order + # elif typ == "fo": + # + # a = np.divide(dt, cls.kwargs['time_const_s'] + dt) + # actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + # + # cls.prev_act_pos = actual_pos + # + # # second order + # elif typ == "so": + # # TODO: equation for second order + # actual_pos = desired_mv + # + # else: + # # instantaneous - when incorrect option selected + # actual_pos = desired_mv + # + # return actual_pos + @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): dt = net['_options']['dt'] @@ -139,13 +153,17 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo flow_nodes[p_grids], cls) q_kg_s = - (sum_mass_flows / counts)[inverse_nodes] vol_m3_s = np.divide(q_kg_s, rho) - vol_ms_h = vol_m3_s * 3600 + vol_m3_h = vol_m3_s * 3600 desired_mv = circ_pump_tbl.desired_mv.values + cur_actual_pos = circ_pump_tbl.actual_pos.values #if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: if get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running - actual_pos = cls.plant_dynamics(dt, desired_mv) + actual_pos = cls.plant_dynamics(dt, desired_mv, circ_pump_tbl) + # Account for nan's when FCE are in manual + update_pos = np.where(np.isnan(actual_pos)) + actual_pos[update_pos] = cur_actual_pos[update_pos] circ_pump_tbl.actual_pos = actual_pos cls.time_step += 1 @@ -179,23 +197,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, (prsr_lift + p_static), t_flow_k, cls.get_connected_node_type(), "pt") -# we can't update temp here or else each newton iteration will update the temp!! - # @classmethod - # def calculate_derivatives_thermal(cls, net, branch_pit, node_pit, idx_lookups, options): - # - # super().calculate_derivatives_thermal(net, branch_pit, node_pit, idx_lookups, options) - # fn_col, tn_col = cls.from_to_node_cols() - # circ_pump_tbl = net[cls.table_name()] - # return_junctions = circ_pump_tbl[fn_col].values - # junction_lookup = get_lookup(net, "node", "index")[cls.get_connected_node_type().table_name()] - # return_node = junction_lookup[return_junctions] - # - # junction = net[cls.table_name()][cls.from_to_node_cols()[1]].values - # t_flow_k = node_pit[return_node, TINIT_NODE] - # - # # update the 'FROM' node i.e: discharge node temperature and pressure lift updates - # update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, None, t_flow_k, - # cls.get_connected_node_type(), "t") + @classmethod def get_result_table(cls, net): """ diff --git a/pandapipes/component_models/dynamic_pump_component.py b/pandapipes/component_models/dynamic_pump_component.py index a9fe4004..9bcf4e21 100644 --- a/pandapipes/component_models/dynamic_pump_component.py +++ b/pandapipes/component_models/dynamic_pump_component.py @@ -72,54 +72,61 @@ def create_pit_branch_entries(cls, net, branch_pit): pump_pit[:, DESIRED_MV] = net[cls.table_name()].desired_mv.values @classmethod - def plant_dynamics(cls, dt, desired_mv): + def plant_dynamics(cls, dt, desired_mv, dyn_pump_tbl): """ Takes in the desired valve position (MV value) and computes the actual output depending on equipment lag parameters. - Returns Actual valve position + Returns Actual pump position """ - if cls.kwargs.__contains__("act_dynamics"): - typ = cls.kwargs['act_dynamics'] - else: - # default to instantaneous - return desired_mv - - # linear - if typ == "l": - - # TODO: equation for linear - actual_pos = desired_mv - - # first order - elif typ == "fo": - - a = np.divide(dt, cls.kwargs['time_const_s'] + dt) - actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv - - cls.prev_act_pos = actual_pos - - # second order - elif typ == "so": - # TODO: equation for second order - actual_pos = desired_mv - - else: - # instantaneous - when incorrect option selected - actual_pos = desired_mv + time_const_s = dyn_pump_tbl.time_const_s.values + a = np.divide(dt, time_const_s + dt) + actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + cls.prev_act_pos = actual_pos return actual_pos + # if cls.kwargs.__contains__("act_dynamics"): + # typ = cls.kwargs['act_dynamics'] + # else: + # # default to instantaneous + # return desired_mv + # + # # linear + # if typ == "l": + # + # # TODO: equation for linear + # actual_pos = desired_mv + # + # # first order + # elif typ == "fo": + # + # a = np.divide(dt, cls.kwargs['time_const_s'] + dt) + # actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + # + # cls.prev_act_pos = actual_pos + # + # # second order + # elif typ == "so": + # # TODO: equation for second order + # actual_pos = desired_mv + # + # else: + # # instantaneous - when incorrect option selected + # actual_pos = desired_mv + # + # return actual_pos + @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): # calculation of pressure lift - dt = 1 # net['_options']['dt'] + dt = net['_options']['dt'] f, t = idx_lookups[cls.table_name()] dyn_pump_tbl = net[cls.table_name()] pump_pit = branch_pit[f:t, :] area = pump_pit[:, AREA] idx = pump_pit[:, STD_TYPE].astype(int) - std_types = np.array(list(net.std_types['pump'].keys()))[idx] + std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[idx] from_nodes = pump_pit[:, FROM_NODE].astype(np.int32) # to_nodes = pump_pit[:, TO_NODE].astype(np.int32) fluid = get_fluid(net) @@ -128,30 +135,25 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo numerator = NORMAL_PRESSURE * pump_pit[:, TINIT] v_mps = pump_pit[:, VINIT] desired_mv = dyn_pump_tbl.desired_mv.values + cur_actual_pos = dyn_pump_tbl.actual_pos.values + pump_pit[:, DESIRED_MV] = dyn_pump_tbl.desired_mv.values + vol_m3_s = v_mps * area + vol_m3_h = vol_m3_s * 3600 - if fluid.is_gas: - # consider volume flow at inlet - normfactor_from = numerator * fluid.get_property("compressibility", p_from) \ - / (p_from * NORMAL_TEMPERATURE) - v_mean = v_mps * normfactor_from - else: - v_mean = v_mps - - vol_m3_s = v_mean * area - - if not np.isnan(desired_mv) and get_net_option(net, "time_step") == cls.time_step: + if get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running - actual_pos = cls.plant_dynamics(dt, desired_mv) + actual_pos = cls.plant_dynamics(dt, desired_mv, dyn_pump_tbl) + # Account for nan's when FCE are in manual + update_pos = np.where(np.isnan(actual_pos)) + actual_pos[update_pos] = cur_actual_pos[update_pos] + pump_pit[:, ACTUAL_POS] = actual_pos dyn_pump_tbl.actual_pos = actual_pos cls.time_step += 1 else: # Steady state analysis actual_pos = dyn_pump_tbl.actual_pos.values - std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) - std_type, pos = np.where(net[cls.table_name()]['std_type'].values - == std_types_lookup[:, np.newaxis]) - std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[pos] + fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) fcts = [fcts] if not isinstance(fcts, tuple) else fcts m_head = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol_m3_s, actual_pos))) # m head diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index a9e88d7d..8babc49b 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -58,7 +58,7 @@ def create_pit_branch_entries(cls, net, branch_pit): """ valve_grids = net[cls.table_name()] valve_pit = super().create_pit_branch_entries(net, branch_pit) - valve_pit[:, D] = 0.1 #net[cls.table_name()].diameter_m.values + valve_pit[:, D] = 0.05 #0.1 #net[cls.table_name()].diameter_m.values valve_pit[:, AREA] = valve_pit[:, D] ** 2 * np.pi / 4 valve_pit[:, Kv_max] = net[cls.table_name()].Kv_max.values valve_pit[:, ACTUAL_POS] = net[cls.table_name()].actual_pos.values @@ -77,44 +77,52 @@ def create_pit_branch_entries(cls, net, branch_pit): valve_pit[pos, STD_TYPE] = std_type @classmethod - def plant_dynamics(cls, dt, desired_mv): + def plant_dynamics(cls, dt, desired_mv, dyn_valve_tbl): """ Takes in the desired valve position (MV value) and computes the actual output depending on equipment lag parameters. Returns Actual valve position """ - if cls.kwargs.__contains__("act_dynamics"): - typ = cls.kwargs['act_dynamics'] - else: - # default to instantaneous - return desired_mv - - # linear - if typ == "l": - - # TODO: equation for linear - actual_pos = desired_mv - - # first order - elif typ == "fo": - - a = np.divide(dt, cls.kwargs['time_const_s'] + dt) - actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv - - cls.prev_act_pos = actual_pos - - # second order - elif typ == "so": - # TODO: equation for second order - actual_pos = desired_mv - - else: - # instantaneous - when incorrect option selected - actual_pos = desired_mv + time_const_s = dyn_valve_tbl.time_const_s.values + a = np.divide(dt, time_const_s + dt) + actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + cls.prev_act_pos = actual_pos return actual_pos + # Issue with getting array values for different types of valves!! Assume all First Order! + # if cls.kwargs.__contains__("act_dynamics"): + # typ = cls.kwargs['act_dynamics'] + # else: + # # default to instantaneous + # return desired_mv + # + # # linear + # if typ == "l": + # + # # TODO: equation for linear + # actual_pos = desired_mv + # + # # first order + # elif typ == "fo": + # + # a = np.divide(dt, cls.kwargs['time_const_s'] + dt) + # actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv + # + # cls.prev_act_pos = actual_pos + # + # # second order + # elif typ == "so": + # # TODO: equation for second order + # actual_pos = desired_mv + # + # else: + # # instantaneous - when incorrect option selected + # actual_pos = desired_mv + # + # return actual_pos + @classmethod def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lookups, options): dt = net['_options']['dt'] @@ -132,9 +140,10 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo desired_mv = valve_pit[:, DESIRED_MV] cur_actual_pos = valve_pit[:, ACTUAL_POS] + if get_net_option(net, "time_step") == cls.time_step: # a controller timeseries is running - actual_pos = cls.plant_dynamics(dt, desired_mv) + actual_pos = cls.plant_dynamics(dt, desired_mv, dyn_valve_tbl) # Account for nan's when FCE are in manual update_pos = np.where(np.isnan(actual_pos)) actual_pos[update_pos] = cur_actual_pos[update_pos] @@ -175,8 +184,8 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo rho[update_pos] * v_mps[update_pos] ** 2) zeta = np.zeros_like(v_mps) zeta[update_pos] = valid_zetas - zeta_reset_1 = np.where(lift == 1.0) - zeta[zeta_reset_1] = 0 + #zeta_reset_1 = np.where(lift == 1.0) + #zeta[zeta_reset_1] = 0 zeta_reset_2 = np.where(lift == 0.0) zeta[zeta_reset_2] = 20e+20 valve_pit[:, LC] = zeta diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 08ca61e0..4aa42ed9 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -102,7 +102,7 @@ def pid_control(self, error_value): mv_lag = (1 - a) * self.prev_mvlag + a * self.prev_mv - mv_lag = np.clip(mv_lag, self.MV_min, self.MV_max) + #mv_lag = np.clip(mv_lag, self.MV_min, self.MV_max) mv = g_ain + mv_lag diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv new file mode 100644 index 00000000..143a0313 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.0; 278.0; 0.0;100; 2 +70.0; 260.0; 33.0; +100.0; 250.0; 45.0; +174.0; 220.0; 63.0; +220.0; 200.0; 68.0; +310.0; 148.0; 64.0; diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv new file mode 100644 index 00000000..67807ca8 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.0 ;70.9; 0.0; 100; 2 +35.4; 66.3; 24.8; +50.5; 63.8; 33.8; +87.9; 56.1; 47.3; +111.1; 51.0; 51.0; +156.6; 37.8; 48.0; diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv new file mode 100644 index 00000000..57a7d04e --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.0 ;139.0; 0.0; 100; 2 +49.5; 130.0; 28.1; +70.7; 125.0; 38.3; +123.0; 110.0; 53.6; +155.6; 100.0; 57.8; +219.2; 74.0; 54.4; diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv new file mode 100644 index 00000000..92d2433b --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv @@ -0,0 +1,7 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0.0 ;265.0; 0.0 ;100; 2 +68.3; 247.8; 32.3; +97.6; 238.3; 44.1; +169.9; 209.7; 61.7; +214.8; 190.6; 66.6; +302.6; 141.1; 62.7; diff --git a/pandapipes/std_types/library/Pipe.csv b/pandapipes/std_types/library/Pipe.csv index afd3a6d4..e00c961d 100644 --- a/pandapipes/std_types/library/Pipe.csv +++ b/pandapipes/std_types/library/Pipe.csv @@ -1,23 +1,23 @@ std_type;nominal_width_mm;outer_diameter_mm;inner_diameter_mm;standard_dimension_ratio;material DR_25St_180PE;25;33.7;25.0;7.74;ST PE 100 -DR_150St_280PE;150;150.0;168.3;18.39;ST PE 100 -DR_125St_250PE;125;125.0;139.7;19.0;ST PE 100 -DR_50St_140PE;50;50.0;60.3;11.7;ST PE 100 -DR_100St_225PE;100;100.0;114.3;15.98;ST PE 100 -DR_65St_160PE;65;65.0;76.1;13.7;ST PE 100 -DR_40St_180PE;40;40.0;48.3;11.63;ST PE 100 -DR_40St_200PE;40;40.0;48.3;11.63;ST PE 100 -DR_32St_200PE;32;32.0;42.4;8.15;ST PE 100 -DR_30St_126PE_flex;30;30.0;42.4;8.15;ST PE 100 -DR_65St_280PE;65;65.0;76.1;13.7;ST PE 100 -DR_80St_315PE;80;80.0;88.9;19.9;ST PE 100 -DR_50St_200PE;50;50.0;60.3;11.7;ST PE 100 -DR_100St_400PE;100;100.0;114.3;15.98;ST PE 100 -DR_200St_355PE;200;200.0;219.1;22.94;ST PE 100 -DR_80St_280PE;80;80.0;88.9;19.9;ST PE 100 -DR_65St_250PE;65;65.0;76.1;13.7;ST PE 100 -DR_50St_250PE;50;50.0;60.3;11.7;ST PE 100 -DR_32St_180PE;32;32.0;42.4;8.15;ST PE 100 +DR_150St_280PE;150;168.3;150.0;18.39;ST PE 100 +DR_125St_250PE;125;139.7;125.0;19.0;ST PE 100 +DR_50St_140PE;50;60.3;50.0;11.7;ST PE 100 +DR_100St_225PE;100;114.3;100.0;15.98;ST PE 100 +DR_65St_160PE;65;76.1;65.0;13.7;ST PE 100 +DR_40St_180PE;40;48.3;40.0;11.63;ST PE 100 +DR_40St_200PE;40;48.3;40.0;11.63;ST PE 100 +DR_32St_200PE;32;42.4;32.0;8.15;ST PE 100 +DR_30St_126PE_flex;30;42.4;30.0;8.15;ST PE 100 +DR_65St_280PE;65;76.1;65.0;13.7;ST PE 100 +DR_80St_315PE;80;88.9;80.0;19.9;ST PE 100 +DR_50St_200PE;50;60.3;50.0;11.7;ST PE 100 +DR_100St_400PE;100;114.3;100.0;15.98;ST PE 100 +DR_200St_355PE;200;219.1;200.0;22.94;ST PE 100 +DR_80St_280PE;80;88.9;80.0;19.9;ST PE 100 +DR_65St_250PE;65;76.1;65.0;13.7;ST PE 100 +DR_50St_250PE;50;60.3;50.0;11.7;ST PE 100 +DR_32St_180PE;32;42.4;32.0;8.15;ST PE 100 80_GGG;80;98.0;86.0;16.33;GGG 100_GGG;100;118.0;105.8;19.34;GGG 125_GGG;125;144.0;131.6;23.23;GGG diff --git a/pandapipes/timeseries/run_time_series.py b/pandapipes/timeseries/run_time_series.py index beab805e..c8cf45c1 100644 --- a/pandapipes/timeseries/run_time_series.py +++ b/pandapipes/timeseries/run_time_series.py @@ -121,7 +121,8 @@ def run_timeseries(net, time_steps=None, continue_on_divergence=False, verbose=T :return: No output """ ts_variables = init_time_series(net, time_steps, continue_on_divergence, verbose, **kwargs) - + # A bad fix, need to sequence better - before the controllers are activated! + net['_options']['dt'] = kwargs['dt'] control_diagnostic(net) run_loop(net, ts_variables, **kwargs) From 6143b66b4f3ba68d64aa33c1f20168c18d41cf3c Mon Sep 17 00:00:00 2001 From: qlyons Date: Wed, 5 Apr 2023 09:43:36 +0200 Subject: [PATCH 26/35] updates to controllers, stdtypes, density cross ref --- .../dynamic_circulation_pump_component.py | 26 ++++++--- .../dynamic_pump_component.py | 1 + .../controller/differential_control.py | 44 +++++++------- .../control/controller/pid_controller.py | 58 +++++++++++-------- pandapipes/create.py | 10 ++-- pandapipes/properties/water/density.txt | 41 ++++++------- .../properties/water/density_UniSim.txt | 21 ------- pandapipes/properties/water/density_orig.txt | 20 +++++++ .../test_pump/PumpCurve_100_1980rpm.csv | 2 +- .../test_pump/PumpCurve_50_1000rpm.csv | 2 +- .../test_pump/PumpCurve_70_1400rpm.csv | 2 +- .../test_pump/PumpCurve_97_1933rpm.csv | 2 +- pandapipes/std_types/std_type_class.py | 11 +++- pandapipes/timeseries/run_time_series.py | 2 +- 14 files changed, 137 insertions(+), 105 deletions(-) delete mode 100644 pandapipes/properties/water/density_UniSim.txt create mode 100644 pandapipes/properties/water/density_orig.txt diff --git a/pandapipes/component_models/dynamic_circulation_pump_component.py b/pandapipes/component_models/dynamic_circulation_pump_component.py index 6b0c10dd..7820de3a 100644 --- a/pandapipes/component_models/dynamic_circulation_pump_component.py +++ b/pandapipes/component_models/dynamic_circulation_pump_component.py @@ -63,7 +63,7 @@ def create_pit_node_entries(cls, net, node_pit): # SET SUCTION PRESSURE junction = dyn_circ_pump[cls.from_to_node_cols()[0]].values - p_in = dyn_circ_pump.p_static_circuit.values + p_in = dyn_circ_pump.p_static_bar.values set_fixed_node_entries(net, node_pit, junction, dyn_circ_pump.type.values, p_in, None, cls.get_connected_node_type(), "p") @@ -95,7 +95,12 @@ def plant_dynamics(cls, dt, desired_mv, dyn_pump_tbl): Returns Actual valve position """ - time_const_s = dyn_pump_tbl.time_const_s.values + if dyn_pump_tbl.__contains__("time_const_s"): + time_const_s = dyn_pump_tbl.time_const_s.values + else: + print("No actuator time constant set, default lag is now 5s.") + time_const_s = 5 + a = np.divide(dt, time_const_s + dt) actual_pos = (1 - a) * cls.prev_act_pos + a * desired_mv cls.prev_act_pos = actual_pos @@ -173,7 +178,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo std_types_lookup = np.array(list(net.std_types['dynamic_pump'].keys())) std_type, pos = np.where(net[cls.table_name()]['std_type'].values == std_types_lookup[:, np.newaxis]) - std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[pos] + std_types = np.array(list(net.std_types['dynamic_pump'].keys()))[std_type] fcts = itemgetter(*std_types)(net['std_types']['dynamic_pump']) fcts = [fcts] if not isinstance(fcts, tuple) else fcts m_head = np.array(list(map(lambda x, y, z: x.get_m_head(y, z), fcts, vol_m3_s, actual_pos))) # m head @@ -191,7 +196,7 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo # not contain "p", as this should not be allowed for this component t_flow_k = node_pit[return_node, TINIT_NODE] - p_static = circ_pump_tbl.p_static_circuit.values + p_static = circ_pump_tbl.p_static_bar.values # update the 'FROM' node i.e: discharge node temperature and pressure lift updates update_fixed_node_entries(net, node_pit, junction, circ_pump_tbl.type.values, (prsr_lift + p_static), t_flow_k, @@ -208,7 +213,8 @@ def get_result_table(cls, net): if False, returns columns as tuples also specifying the dtypes :rtype: (list, bool) """ - return ["mdot_flow_kg_per_s", "deltap_bar", "desired_mv", "actual_pos", "p_lift", "m_head"], True + return ["mdot_flow_kg_per_s", "deltap_bar", "desired_mv", "actual_pos", "p_lift", "m_head", "rho", "t_from_k", + "t_to_k", "p_static_bar", "p_flow_bar"], True @classmethod def get_component_input(cls): @@ -224,7 +230,7 @@ def get_component_input(cls): ("t_flow_k", "f8"), ("p_lift", "f8"), ('m_head', "f8"), - ("p_static_circuit", "f8"), + ("p_static_bar", "f8"), ("actual_pos", "f8"), ("in_service", 'bool'), ("std_type", dtype(object)), @@ -280,7 +286,7 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches return_junctions = circ_pump_tbl[fn_col].values return_node = junction_lookup[return_junctions] - rho = node_pit[return_node, RHO_node] + #res_table["vdot_norm_m3_per_s"] = np.divide(- (sum_mass_flows / counts)[inverse_nodes], rho) @@ -288,8 +294,12 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches return_nodes = junction_lookup[return_junctions] deltap_bar = node_pit[flow_nodes, PINIT] - node_pit[return_nodes, PINIT] + res_table["p_static_bar"].values[in_service] = circ_pump_tbl.p_static_bar.values + res_table["p_flow_bar"].values[in_service] = node_pit[flow_nodes, PINIT] res_table["deltap_bar"].values[in_service] = deltap_bar[in_service] - + res_table["t_from_k"].values[p_grids] = node_pit[return_node, TINIT] + res_table["t_to_k"].values[p_grids] = node_pit[flow_nodes, TINIT] + res_table["rho"].values[p_grids] = node_pit[return_node, RHO_node] res_table["p_lift"].values[p_grids] = circ_pump_tbl.p_lift.values res_table["m_head"].values[p_grids] = circ_pump_tbl.m_head.values res_table["actual_pos"].values[p_grids] = circ_pump_tbl.actual_pos.values diff --git a/pandapipes/component_models/dynamic_pump_component.py b/pandapipes/component_models/dynamic_pump_component.py index 9bcf4e21..244bec61 100644 --- a/pandapipes/component_models/dynamic_pump_component.py +++ b/pandapipes/component_models/dynamic_pump_component.py @@ -8,6 +8,7 @@ from numpy import dtype from pandapipes.component_models.junction_component import Junction +from pandapipes.component_models.pump_component import Pump from pandapipes.component_models.abstract_models.branch_wzerolength_models import \ BranchWZeroLengthComponent from pandapipes.constants import NORMAL_TEMPERATURE, NORMAL_PRESSURE, R_UNIVERSAL, P_CONVERSION, \ diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py index 4a352668..6b7ac03b 100644 --- a/pandapipes/control/controller/differential_control.py +++ b/pandapipes/control/controller/differential_control.py @@ -6,7 +6,7 @@ from pandapipes.control.controller.pid_controller import PidControl from pandapower.toolbox import _detect_read_write_flag, write_to_net from pandapipes.control.controller.collecting_controller import CollectorController - +import numpy as np try: import pandaplan.core.pplog as logging except ImportError: @@ -24,8 +24,8 @@ class DifferentialControl(PidControl): def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, process_variable_1=None, process_element_1=None, process_element_index_1=None, process_variable_2=None, process_element_2=None, process_element_index_2=None, - cv_scaler=1, Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, ctrl_typ='std', - data_source=None, scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, + cv_scaler=1, Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, sp_profile_name=None, man_profile_name=None, + ctrl_typ='std', data_source=None, sp_scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, initial_run=False, **kwargs): # just calling init of the parent @@ -48,8 +48,9 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.fc_element = fc_element self.ctrl_values = None - self.profile_name = profile_name - self.scale_factor = scale_factor + self.sp_profile_name = sp_profile_name + self.sp_scale_factor = sp_scale_factor + self.man_profile_name = man_profile_name self.applied = False self.write_flag, self.fc_variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) self.set_recycle(net) @@ -81,6 +82,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.cv = (net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] - \ net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2]) * self.cv_scaler self.sp = 0 + self.man_sp = 0 self.pv = 0 self.prev_sp = 0 self.prev_cv = (net[self.process_element_1][self.process_variable_1].loc[self.process_element_index_1] @@ -110,15 +112,16 @@ def time_step(self, net, time): self.cv = self.pv * self.cv_scaler - if type(self.data_source) is float: - self.sp = self.data_source - else: - self.sp = self.data_source.get_time_step_value(time_step=time, - profile_name=self.profile_name, - scale_factor=self.scale_factor) - if self.auto: + # PID is in Automatic Mode + if type(self.sp_data_source) is float: + self.sp = self.sp_data_source + else: + self.sp = self.sp_data_source.get_time_step_value(time_step=time, + profile_name=self.sp_profile_name, + scale_factor=self.sp_scale_factor) + # PID is in Automatic Mode # self.values is the set point we wish to make the output if not self.dir_reversed: @@ -130,12 +133,17 @@ def time_step(self, net, time): #TODO: hysteresis band # if error < 0.01 : error = 0 - - desired_mv = PidControl.pid_control(self, error_value) + desired_mv = PidControl.pidConR_control(self, error_value) else: - # Write data source directly to controlled variable - desired_mv = self.sp + # Get Manual set point from data source: + if type(self.man_data_source) is float: + self.man_sp = self.man_data_source + else: + self.man_sp = self.man_data_source.get_time_step_value(time_step=time, + profile_name=self.man_profile_name, + scale_factor=1) + desired_mv = np.clip(self.man_sp, self.MV_min, self.MV_max) self.ctrl_values = desired_mv @@ -145,14 +153,10 @@ def time_step(self, net, time): self.fc_variable, self.ctrl_values, self.selector_typ, self.write_flag) else: # self.ctrl_typ == "std": - # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, - # self.ctrl_values, self.write_flag) # Write the desired MV value to results for future plotting write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.write_flag) - - def __str__(self): return super().__str__() + " [%s.%s]" % (self.fc_element, self.fc_variable) diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 4aa42ed9..70c89805 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -23,8 +23,8 @@ class PidControl(Controller): def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, - Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, profile_name=None, ctrl_typ='std', - data_source=None, scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, + Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, sp_profile_name=None, man_profile_name=None, ctrl_typ='std', + sp_data_source=None, sp_scale_factor=1.0, man_data_source=None, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, initial_run=False, **kwargs): # just calling init of the parent @@ -40,15 +40,17 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi #self.kwargs = kwargs # data source for time series values - self.data_source = data_source + self.sp_data_source = sp_data_source + self.man_data_source = man_data_source # ids of sgens or loads self.fc_element_index = fc_element_index # control element type self.fc_element = fc_element self.ctrl_values = None - self.profile_name = profile_name - self.scale_factor = scale_factor + self.sp_profile_name = sp_profile_name + self.sp_scale_factor = sp_scale_factor + self.man_profile_name = man_profile_name self.applied = False self.write_flag, self.fc_variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) self.set_recycle(net) @@ -75,6 +77,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.cv_scaler = cv_scaler self.cv = net[self.process_element][self.process_variable].loc[self.process_element_index] * cv_scaler self.sp = 0 + self.man_sp = 0 self.pv = 0 self.prev_sp = 0 self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] * cv_scaler @@ -86,9 +89,11 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi super().set_recycle(net) - def pid_control(self, error_value): + def pidConR_control(self, error_value): """ - Algorithm 1: External Reset PID controller + Algorithm 1: External Reset PID controller based on Siemens PID Continuous Reset + See. SIEMENS (2018). SIMATIC Process Control System PCS 7 Advanced Process Library + (V9.0 SP2) Function Manual. """ # External Reset PID @@ -96,22 +101,23 @@ def pid_control(self, error_value): diff_component = np.divide(self.Td, self.Td + self.dt * self.diffgain) self.diff_part = diff_component * (self.prev_diff_out + self.diffgain * (error_value - self.prev_error)) - g_ain = (error_value * (1 + self.diff_part)) * self.gain_effective + #g_ain = (error_value * (1 + self.diff_part)) * self.gain_effective + g_ain = (error_value + self.diff_part) * self.gain_effective a = np.divide(self.dt, self.Ti + self.dt) - mv_lag = (1 - a) * self.prev_mvlag + a * self.prev_mv + mv_reset = (1 - a) * self.prev_mvlag + a * self.prev_mv #mv_lag = np.clip(mv_lag, self.MV_min, self.MV_max) - mv = g_ain + mv_lag + mv = g_ain + mv_reset # MV Saturation mv = np.clip(mv, self.MV_min, self.MV_max) self.prev_diff_out = self.diff_part self.prev_error = error_value - self.prev_mvlag = mv_lag + self.prev_mvlag = mv_reset self.prev_mv = mv return mv @@ -132,17 +138,16 @@ def time_step(self, net, time): self.cv = self.pv * self.cv_scaler - if type(self.data_source) is float: - self.sp = self.data_source - else: - self.sp = self.data_source.get_time_step_value(time_step=time, - profile_name=self.profile_name, - scale_factor=self.scale_factor) - if self.auto: # PID is in Automatic Mode - # self.values is the set point we wish to make the output + if type(self.sp_data_source) is float: + self.sp = self.sp_data_source + else: + self.sp = self.sp_data_source.get_time_step_value(time_step=time, + profile_name=self.sp_profile_name, + scale_factor=self.sp_scale_factor) + # PID Controller Action: if not self.dir_reversed: # error= SP-PV error_value = self.sp - self.cv @@ -152,23 +157,26 @@ def time_step(self, net, time): # TODO: hysteresis band # if error < 0.01 : error = 0 - desired_mv = self.pid_control(error_value) + desired_mv = self.pidConR_control(error_value) else: - # Write data source directly to controlled variable - desired_mv = self.sp + # Get Manual set point from data source: + if type(self.man_data_source) is float: + self.man_sp = self.man_data_source + else: + self.man_sp = self.man_data_source.get_time_step_value(time_step=time, + profile_name=self.man_profile_name, + scale_factor=1) + desired_mv = np.clip(self.man_sp, self.MV_min, self.MV_max) self.ctrl_values = desired_mv # Write desired_mv to the network - if self.ctrl_typ == "over_ride": CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.selector_typ, self.write_flag) else: #self.ctrl_typ == "std": - # write_to_net(net, self.ctrl_element, self.ctrl_element_index, self.ctrl_variable, - # self.ctrl_values, self.write_flag) # Write the desired MV value to results for future plotting write_to_net(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.write_flag) diff --git a/pandapipes/create.py b/pandapipes/create.py index 25f65ab9..f334e423 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -818,7 +818,7 @@ def create_pump_from_parameters(net, from_junction, to_junction, new_std_type_na return index -def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_bar, p_static_circuit, std_type, +def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_bar, p_static_bar, std_type, actual_pos=50.00, t_flow_k=None, type="auto", name=None, index=None, in_service=True, **kwargs): """ @@ -838,8 +838,8 @@ def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_ba :type flow_junction: int :param p_flow_bar: Pressure set point at the flow junction :type p_flow_bar: float - :param p_static_circuit: Suction Pressure static circuit pressure - :type p_static_circuit: float + :param p_static_bar: Suction Pressure static circuit pressure + :type p_static_bar: float :type std_type: string, default None :param name: A name tag for this pump :param t_flow_k: Temperature set point at the flow junction @@ -867,7 +867,7 @@ def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_ba :rtype: int :Example: - >>> create_dyn_circ_pump_pressure(net, 0, 1, p_flow_bar=5, p_static_circuit=2, std_type= 'P1', + >>> create_dyn_circ_pump_pressure(net, 0, 1, p_flow_bar=5, p_static_bar=2, std_type= 'P1', >>> t_flow_k=350, type="p", actual_pos=50) """ @@ -884,7 +884,7 @@ def create_dyn_circ_pump_pressure(net, return_junction, flow_junction, p_flow_ba type = _auto_ext_grid_type(p_flow_bar, t_flow_k, type, DynamicCirculationPump) v = {"name": name, "return_junction": return_junction, "flow_junction": flow_junction, - "p_flow_bar": p_flow_bar, "t_flow_k": t_flow_k, "p_static_circuit": p_static_circuit, "std_type": std_type, + "p_flow_bar": p_flow_bar, "t_flow_k": t_flow_k, "p_static_bar": p_static_bar, "std_type": std_type, "actual_pos": actual_pos, "desired_mv": desired_mv, "type": type, "in_service": bool(in_service)} _set_entries(net, "dyn_circ_pump", index, **v, **kwargs) diff --git a/pandapipes/properties/water/density.txt b/pandapipes/properties/water/density.txt index 347e8285..a8224c32 100644 --- a/pandapipes/properties/water/density.txt +++ b/pandapipes/properties/water/density.txt @@ -1,20 +1,21 @@ -274 999.9 -277 999.97 -283 999.7 -288 999.1 -293 998.21 -298 997.05 -303 995.65 -308 994.03 -313 992.22 -318 990.21 -323 988.04 -328 985.69 -333 983.2 -338 980.55 -343 977.77 -348 974.84 -353 971.79 -358 968.61 -363 965.31 -368 961.89 +# @ 500 kPa +274 1025 +277 1023 +283 1019 +288 1015 +293 1011 +298 1008 +303 1004 +308 1000 +313 996.2 +318 992.4 +323 988.5 +328 984.6 +333 980.7 +338 976.8 +343 972.8 +348 968.8 +353 964.7 +358 960.7 +363 956.6 +368 952.4 \ No newline at end of file diff --git a/pandapipes/properties/water/density_UniSim.txt b/pandapipes/properties/water/density_UniSim.txt deleted file mode 100644 index a8224c32..00000000 --- a/pandapipes/properties/water/density_UniSim.txt +++ /dev/null @@ -1,21 +0,0 @@ -# @ 500 kPa -274 1025 -277 1023 -283 1019 -288 1015 -293 1011 -298 1008 -303 1004 -308 1000 -313 996.2 -318 992.4 -323 988.5 -328 984.6 -333 980.7 -338 976.8 -343 972.8 -348 968.8 -353 964.7 -358 960.7 -363 956.6 -368 952.4 \ No newline at end of file diff --git a/pandapipes/properties/water/density_orig.txt b/pandapipes/properties/water/density_orig.txt new file mode 100644 index 00000000..347e8285 --- /dev/null +++ b/pandapipes/properties/water/density_orig.txt @@ -0,0 +1,20 @@ +274 999.9 +277 999.97 +283 999.7 +288 999.1 +293 998.21 +298 997.05 +303 995.65 +308 994.03 +313 992.22 +318 990.21 +323 988.04 +328 985.69 +333 983.2 +338 980.55 +343 977.77 +348 974.84 +353 971.79 +358 968.61 +363 965.31 +368 961.89 diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv index 143a0313..ed398cfa 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_100_1980rpm.csv @@ -1,5 +1,5 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.0; 278.0; 0.0;100; 2 +0.0; 278.0; 0.0;100; 3 70.0; 260.0; 33.0; 100.0; 250.0; 45.0; 174.0; 220.0; 63.0; diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv index 67807ca8..5c75a44a 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_50_1000rpm.csv @@ -1,5 +1,5 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.0 ;70.9; 0.0; 100; 2 +0.0 ;70.9; 0.0; 50; 3 35.4; 66.3; 24.8; 50.5; 63.8; 33.8; 87.9; 56.1; 47.3; diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv index 57a7d04e..14590439 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_70_1400rpm.csv @@ -1,5 +1,5 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.0 ;139.0; 0.0; 100; 2 +0.0 ;139.0; 0.0; 70; 3 49.5; 130.0; 28.1; 70.7; 125.0; 38.3; 123.0; 110.0; 53.6; diff --git a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv index 92d2433b..71e15072 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/test_pump/PumpCurve_97_1933rpm.csv @@ -1,5 +1,5 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0.0 ;265.0; 0.0 ;100; 2 +0.0 ;265.0; 0.0 ;97; 3 68.3; 247.8; 32.3; 97.6; 238.3; 44.1; 169.9; 209.7; 61.7; diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py index 003d1876..9ff0e8dd 100644 --- a/pandapipes/std_types/std_type_class.py +++ b/pandapipes/std_types/std_type_class.py @@ -235,6 +235,7 @@ def from_folder(cls, name, dyn_path): # Compile dictionary of dataframes from file path x_flow_max = 0 speed_list = [] + degree = [] for file_name in os.listdir(dyn_path): key_name = file_name[0:file_name.find('.')] @@ -252,6 +253,7 @@ def from_folder(cls, name, dyn_path): # create individual poly equations for each curve and append to (z)_head_list reg_par = np.polyfit(individual_curves[key].Vdot_m3ph.values, individual_curves[key].Head_m.values, individual_curves[key].degree.values[0]) + degree.append(individual_curves[key].degree.values[0]) n = np.arange(len(reg_par), 0, -1) head_list[idx::] = [max(0, sum(reg_par * x ** (n - 1))) for x in flow_list] @@ -265,7 +267,12 @@ def from_folder(cls, name, dyn_path): # interpolate 2d function to determine head (m) from specified flow and speed variables - interp2d_fct = interp2d(flow_list, speed_list, head_list, kind='cubic', fill_value='0') + if min(degree) == 0: + interpolate_kind = 'linear' + else: + interpolate_kind = 'cubic' + + interp2d_fct = interp2d(flow_list, speed_list, head_list, kind=interpolate_kind, fill_value='0') pump_st = cls(name, interp2d_fct) pump_st._x_values = flow_list @@ -481,6 +488,8 @@ def get_data(path, std_type_category): """ if std_type_category == 'pump': return PumpStdType.load_data(path) + elif std_type_category == 'dynamic_valve': + return ValveStdType.load_data(path) elif std_type_category == 'pipe': return pd.read_csv(path, sep=';', index_col=0).T else: diff --git a/pandapipes/timeseries/run_time_series.py b/pandapipes/timeseries/run_time_series.py index c8cf45c1..95631883 100644 --- a/pandapipes/timeseries/run_time_series.py +++ b/pandapipes/timeseries/run_time_series.py @@ -122,7 +122,7 @@ def run_timeseries(net, time_steps=None, continue_on_divergence=False, verbose=T """ ts_variables = init_time_series(net, time_steps, continue_on_divergence, verbose, **kwargs) # A bad fix, need to sequence better - before the controllers are activated! - net['_options']['dt'] = kwargs['dt'] + #net['_options']['dt'] = kwargs['dt'] control_diagnostic(net) run_loop(net, ts_variables, **kwargs) From 8d2b6130adfe695f37f1b978977dea1f9f0dcd39 Mon Sep 17 00:00:00 2001 From: qlyons Date: Sat, 8 Apr 2023 11:59:28 +0200 Subject: [PATCH 27/35] minor updates to controllers, new logic controller built --- pandapipes/control/__init__.py | 3 +- .../control/controller/logic_control.py | 105 ++++++++++++++++++ .../control/controller/pid_controller.py | 32 ++++-- 3 files changed, 131 insertions(+), 9 deletions(-) create mode 100644 pandapipes/control/controller/logic_control.py diff --git a/pandapipes/control/__init__.py b/pandapipes/control/__init__.py index 75cde070..05455bfd 100644 --- a/pandapipes/control/__init__.py +++ b/pandapipes/control/__init__.py @@ -6,4 +6,5 @@ # --- Controller --- from pandapipes.control.controller.pid_controller import PidControl from pandapipes.control.controller.differential_control import DifferentialControl -from pandapipes.control.controller.collecting_controller import CollectorController \ No newline at end of file +from pandapipes.control.controller.collecting_controller import CollectorController +from pandapipes.control.controller.logic_control import LogicControl diff --git a/pandapipes/control/controller/logic_control.py b/pandapipes/control/controller/logic_control.py new file mode 100644 index 00000000..1af3df63 --- /dev/null +++ b/pandapipes/control/controller/logic_control.py @@ -0,0 +1,105 @@ +# -*- coding: utf-8 -*- + +# Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +from pandapower.control.basic_controller import Controller +from pandapower.toolbox import _detect_read_write_flag, write_to_net + +try: + import pandaplan.core.pplog as logging +except ImportError: + import logging + +logger = logging.getLogger(__name__) + + +class LogicControl(Controller): + """ + Class representing a generic time series logic controller for a specified element and variable. + The input is designed to take a constant value, or be initialised from a designeated controller using + the cascade solving order (Note: master controllers are solved first, the value is set within this + logic controller). + + :param net: The pandapipes network in which the element is created + :type net: pandapipesNet + :param element: Output element name to control + :type element: string + :param variable: The elements parameter variable to control + :type variable: string + :param element_index: the PIP index of the element to control + :type element_index: float, default 0 + :param input_1: The logic blocks input 1 - to implement a static value, set input 1 to desired constant + :type input_1: float, default None + :param input_2: The logic blocks input 1 - to implement a static value, set input 1 to desired constant + :type input_2: float, default None + :param logic_type: The type of logic applied inside the block + :type logic_type: string, default None 'Low' selector + :param scale_factor: Salce to apply to input or output ** Not implemented yet ** + :type scale_factor: float, default 1.0 + :Example: + >>> LogicControl(net, element='dyn_circ_pump', variable='desired_mv', element_index=dyn_main_pmp_0, \\ + level=2, order=1, logic_type= 'low') + """ + + def __init__(self, net, element, variable, element_index, input_1=None, input_2=None, logic_type='Low', + scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, + drop_same_existing_ctrl=False, matching_params=None, + initial_run=False, **kwargs): + # just calling init of the parent + if matching_params is None: + matching_params = {"element": element, "variable": variable, + "element_index": element_index} + super().__init__(net, in_service=in_service, recycle=recycle, order=order, level=level, + drop_same_existing_ctrl=drop_same_existing_ctrl, + matching_params=matching_params, initial_run=initial_run, + **kwargs) + + # Default inputs + self.input_1 = input_1 + self.input_2 = input_2 + # Output Varaible : must be known! + self.logic_type = logic_type + self.element_index = element_index + self.element = element + self.values = None + self.scale_factor = scale_factor + self.applied = False + self.write_flag, self.variable = _detect_read_write_flag(net, element, element_index, variable) + self.set_recycle(net) + + def time_step(self, net, time): + """ + Get the values of the element from data source + Write to pandapower net by calling write_to_net() + If ConstControl is used without a data_source, it will reset the controlled values to the initial values, + preserving the initial net state. + """ + self.applied = False + + if self.input_1 is None: + logger.warning("Logic input variable 1 is not initialised, or controller order is incorrect!") + if self.input_2 is None: + logger.warning("Logic input variable 2 is not initialised, or controller order is incorrect!") + + if self.logic_type == 'low': + write_to_net(net, self.element, self.element_index, self.variable, min(self.input_1, self.input_2), self.write_flag) + elif self.logic_type == 'high': + write_to_net(net, self.element, self.element_index, self.variable, max(self.input_1, self.input_2), self.write_flag) + else: + raise NotImplementedError("Sorry, logic type not implemented yet") + + def is_converged(self, net): + """ + Actual implementation of the convergence criteria: If controller is applied, it can stop + """ + return self.applied + + def control_step(self, net): + """ + Set applied to True, which means that the values set in time_step have been included in the load flow calculation. + """ + self.applied = True + + def __str__(self): + return super().__str__() + " [%s.%s]" % (self.element, self.variable) diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 70c89805..744d2e67 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -21,8 +21,8 @@ class PidControl(Controller): """ - def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, - process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, + def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, sp_max, sp_min, auto=True, + direct_acting=False, process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, sp_profile_name=None, man_profile_name=None, ctrl_typ='std', sp_data_source=None, sp_scale_factor=1.0, man_data_source=None, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, @@ -50,11 +50,15 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.sp_profile_name = sp_profile_name self.sp_scale_factor = sp_scale_factor + self.SP_max = sp_max + self.SP_min = sp_min self.man_profile_name = man_profile_name self.applied = False self.write_flag, self.fc_variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) self.set_recycle(net) - + # self.logic_element = logic_element + # self.logic_variable = logic_variable + # self.logic_element_index = logic_variable # PID config self.Kp = Kp self.Ti = Ti @@ -68,7 +72,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.prev_act_pos = net[fc_element][fc_variable].loc[fc_element_index] self.prev_error = 0 self.dt = 1 - self.dir_reversed = dir_reversed + self.direct_acting = direct_acting self.gain_effective = ((self.MV_max-self.MV_min)/(self.PV_max - self.PV_min)) * Kp # selected pv value self.process_element = process_element @@ -147,12 +151,17 @@ def time_step(self, net, time): self.sp = self.sp_data_source.get_time_step_value(time_step=time, profile_name=self.sp_profile_name, scale_factor=self.sp_scale_factor) + # Clip set point and ensure within allowed operation ranges + self.sp = np.clip(self.sp, self.SP_min, self.SP_max) + # PID Controller Action: - if not self.dir_reversed: - # error= SP-PV + if not self.direct_acting: + # Reverse acting + # positive error which increases output error_value = self.sp - self.cv else: - # error= SP-PV + # Direct acting + # negative error that decreases output error_value = self.cv - self.sp # TODO: hysteresis band @@ -171,8 +180,15 @@ def time_step(self, net, time): self.ctrl_values = desired_mv + # Write desired_mv to the logic controller + if hasattr(self, "logic_element"): + if self.logic_element is not None: # + self.logic_element_index.__setattr__(self.logic_variable, self.ctrl_values) + else: + raise NotImplementedError("logic_element for " + str(self.logic_element_index) + + ' is not set correctly') # Write desired_mv to the network - if self.ctrl_typ == "over_ride": + elif self.ctrl_typ == "over_ride": CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.selector_typ, self.write_flag) From 7cec103c70e199047fe27c6cecc5c6a7ee750084 Mon Sep 17 00:00:00 2001 From: qlyons Date: Mon, 24 Apr 2023 20:50:24 +0200 Subject: [PATCH 28/35] new pump curves --- pandapipes/properties/water/density.txt | 41 +++++++++---------- pandapipes/properties/water/density_orig.txt | 20 --------- .../properties/water/density_unisim.txt | 21 ++++++++++ .../PumpCurve_100_3285rpm.csv | 11 +++++ .../PumpCurve_40_1440rpm.csv | 12 ++++++ .../PumpCurve_60_2160rpm.csv | 11 +++++ .../PumpCurve_80_2880rpm.csv | 11 +++++ 7 files changed, 86 insertions(+), 41 deletions(-) delete mode 100644 pandapipes/properties/water/density_orig.txt create mode 100644 pandapipes/properties/water/density_unisim.txt create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv create mode 100644 pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv diff --git a/pandapipes/properties/water/density.txt b/pandapipes/properties/water/density.txt index a8224c32..347e8285 100644 --- a/pandapipes/properties/water/density.txt +++ b/pandapipes/properties/water/density.txt @@ -1,21 +1,20 @@ -# @ 500 kPa -274 1025 -277 1023 -283 1019 -288 1015 -293 1011 -298 1008 -303 1004 -308 1000 -313 996.2 -318 992.4 -323 988.5 -328 984.6 -333 980.7 -338 976.8 -343 972.8 -348 968.8 -353 964.7 -358 960.7 -363 956.6 -368 952.4 \ No newline at end of file +274 999.9 +277 999.97 +283 999.7 +288 999.1 +293 998.21 +298 997.05 +303 995.65 +308 994.03 +313 992.22 +318 990.21 +323 988.04 +328 985.69 +333 983.2 +338 980.55 +343 977.77 +348 974.84 +353 971.79 +358 968.61 +363 965.31 +368 961.89 diff --git a/pandapipes/properties/water/density_orig.txt b/pandapipes/properties/water/density_orig.txt deleted file mode 100644 index 347e8285..00000000 --- a/pandapipes/properties/water/density_orig.txt +++ /dev/null @@ -1,20 +0,0 @@ -274 999.9 -277 999.97 -283 999.7 -288 999.1 -293 998.21 -298 997.05 -303 995.65 -308 994.03 -313 992.22 -318 990.21 -323 988.04 -328 985.69 -333 983.2 -338 980.55 -343 977.77 -348 974.84 -353 971.79 -358 968.61 -363 965.31 -368 961.89 diff --git a/pandapipes/properties/water/density_unisim.txt b/pandapipes/properties/water/density_unisim.txt new file mode 100644 index 00000000..f1018a05 --- /dev/null +++ b/pandapipes/properties/water/density_unisim.txt @@ -0,0 +1,21 @@ +# UniSim @ 500 kPa +274 1025 +277 1023 +283 1019 +288 1015 +293 1011 +298 1008 +303 1004 +308 1000 +313 996.2 +318 992.4 +323 988.5 +328 984.6 +333 980.7 +338 976.8 +343 972.8 +348 968.8 +353 964.7 +358 960.7 +363 956.6 +368 952.4 \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv new file mode 100644 index 00000000..a0aefa4f --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv @@ -0,0 +1,11 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 57.25887844; 0; 100; 2 +0.890582589; 54.85125411; 31.78366619; +1.43999004 ; 53.37608775; 42.24010275; +1.781165178; 52.3176699 ; 46.8503758; +2.671747767; 48.55511495; 54.50553889; +3.562330356; 42.66247151; 57.07676744; +4.452912944; 34.10145476; 54.00633485; +4.4533436 ; 34.09663809; 54.00320284; +5.343495533; 22.83517592; 43.28568665; + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv new file mode 100644 index 00000000..9cc5bf3c --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv @@ -0,0 +1,12 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 9.16142055; 0; 40; 2 +0.356233036; 8.776200658; 12.71346648; +0.575996016; 8.54017404 ; 16.8960411; +0.712466071; 8.370827184; 18.74015032; +1.068699107; 7.768818392; 21.80221555; +1.424932142; 6.825995442; 22.83070698; +1.781165178; 5.456232762; 21.60253394; +1.78133744 ; 5.455462094; 21.60128114; +2.137398213; 3.653628147; 17.31427466; + + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv new file mode 100644 index 00000000..c6777133 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv @@ -0,0 +1,11 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 20.61319624; 0; 60; 2 +0.534349553; 19.74645148; 19.07019972; +0.863994024; 19.21539159; 25.34406165; +1.068699107; 18.83436116; 28.11022548; +1.60304866 ; 17.47984138; 32.70332333; +2.137398213; 15.35848974; 34.24606046; +2.671747767; 12.27652371; 32.40380091; +2.67200616 ; 12.27478971; 32.4019217; +3.20609732 ; 8.220663331; 25.97141199; + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv new file mode 100644 index 00000000..c6a2af04 --- /dev/null +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv @@ -0,0 +1,11 @@ +Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree +0; 36.6456822; 0; 80; 2 +0.712466071; 35.10480263; 25.42693296; +1.151992032; 34.16069616; 33.7920822; +1.424932142; 33.48330874; 37.48030064; +2.137398213; 31.07527357; 43.60443111; +2.849864284; 27.30398177; 45.66141395; +3.562330356; 21.82493105; 43.20506788; +3.56267488 ; 21.82184838; 43.20256227; +4.274796427; 14.61451259; 34.62854932; + From d1822f4e8e80ec402ca3dbcfdc56554bf852c1ad Mon Sep 17 00:00:00 2001 From: qlyons Date: Mon, 24 Apr 2023 20:56:53 +0200 Subject: [PATCH 29/35] minor updates and code cleaning --- .../dynamic_valve_component.py | 4 +- .../controller/differential_control.py | 39 +++++++++++++------ .../control/controller/logic_control.py | 25 +++++++++--- .../control/controller/pid_controller.py | 17 ++++---- pandapipes/create.py | 2 +- .../PumpCurve_100_3285rpm.csv | 19 +++++---- .../PumpCurve_40_1440rpm.csv | 24 +++++++----- .../PumpCurve_60_2160rpm.csv | 19 +++++---- .../PumpCurve_80_2880rpm.csv | 19 +++++---- 9 files changed, 100 insertions(+), 68 deletions(-) diff --git a/pandapipes/component_models/dynamic_valve_component.py b/pandapipes/component_models/dynamic_valve_component.py index 8babc49b..be8faf5b 100644 --- a/pandapipes/component_models/dynamic_valve_component.py +++ b/pandapipes/component_models/dynamic_valve_component.py @@ -184,8 +184,6 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo rho[update_pos] * v_mps[update_pos] ** 2) zeta = np.zeros_like(v_mps) zeta[update_pos] = valid_zetas - #zeta_reset_1 = np.where(lift == 1.0) - #zeta[zeta_reset_1] = 0 zeta_reset_2 = np.where(lift == 0.0) zeta[zeta_reset_2] = 20e+20 valve_pit[:, LC] = zeta @@ -227,7 +225,7 @@ def extract_results(cls, net, options, branch_results, nodes_connected, branches ("p_from_bar", "p_from"), ("p_to_bar", "p_to"), ("t_from_k", "temp_from"), ("t_to_k", "temp_to"), ("mdot_to_kg_per_s", "mf_to"), ("mdot_from_kg_per_s", "mf_from"), ("vdot_norm_m3_per_s", "vf"), ("lambda", "lambda"), ("reynolds", "reynolds"), ("desired_mv", "desired_mv"), - ("actual_pos", "actual_pos"), ("LC", "LC") + ("actual_pos", "actual_pos"), ("LC", "LC"), ] if get_fluid(net).is_gas: diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py index 6b7ac03b..9a3217a2 100644 --- a/pandapipes/control/controller/differential_control.py +++ b/pandapipes/control/controller/differential_control.py @@ -21,10 +21,11 @@ class DifferentialControl(PidControl): """ - def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, auto=True, dir_reversed=False, + def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, sp_max, sp_min, auto=True, + direct_acting=False, process_variable_1=None, process_element_1=None, process_element_index_1=None, process_variable_2=None, process_element_2=None, process_element_index_2=None, - cv_scaler=1, Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, sp_profile_name=None, man_profile_name=None, + cv_scaler=1, Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, diff_gain= 1, sp_profile_name=None, man_profile_name=None, ctrl_typ='std', data_source=None, sp_scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, initial_run=False, **kwargs): @@ -50,6 +51,8 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.sp_profile_name = sp_profile_name self.sp_scale_factor = sp_scale_factor + self.SP_max = sp_max + self.SP_min = sp_min self.man_profile_name = man_profile_name self.applied = False self.write_flag, self.fc_variable = _detect_read_write_flag(net, fc_element, fc_element_index, fc_variable) @@ -68,7 +71,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.prev_act_pos = net[fc_element][fc_variable].loc[fc_element_index] self.prev_error = 0 self.dt = 1 - self.dir_reversed = dir_reversed + self.direct_acting = direct_acting self.gain_effective = ((self.MV_max-self.MV_min)/(self.PV_max - self.PV_min)) * Kp # selected pv value # selected pv value @@ -89,7 +92,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi - net[self.process_element_2][self.process_variable_2].loc[self.process_element_index_2]) \ * self.cv_scaler self.ctrl_typ = ctrl_typ - self.diffgain = 1 # must be between 1 and 10 + self.diffgain = diff_gain # must be between 1 and 10 self.diff_part = 0 self.prev_diff_out = 0 self.auto = auto @@ -117,23 +120,28 @@ def time_step(self, net, time): # PID is in Automatic Mode if type(self.sp_data_source) is float: self.sp = self.sp_data_source + elif type(self.sp_data_source) is int: + self.sp = np.float64(self.sp_data_source) else: self.sp = self.sp_data_source.get_time_step_value(time_step=time, profile_name=self.sp_profile_name, scale_factor=self.sp_scale_factor) + # Clip set point and ensure within allowed operation ranges + self.sp = np.clip(self.sp, self.SP_min, self.SP_max) - # PID is in Automatic Mode - # self.values is the set point we wish to make the output - if not self.dir_reversed: - # error= SP-PV + # PID Controller Action: + if not self.direct_acting: + # Reverse acting + # positive error which increases output error_value = self.sp - self.cv else: - # error= SP-PV + # Direct acting + # negative error that decreases output error_value = self.cv - self.sp - #TODO: hysteresis band + # TODO: hysteresis band # if error < 0.01 : error = 0 - desired_mv = PidControl.pidConR_control(self, error_value) + desired_mv = self.pidConR_control(error_value) else: # Get Manual set point from data source: @@ -147,8 +155,15 @@ def time_step(self, net, time): self.ctrl_values = desired_mv + # Write desired_mv to the logic controller + if hasattr(self, "logic_element"): + if self.logic_element is not None: # + self.logic_element_index.__setattr__(self.logic_variable, self.ctrl_values) + else: + raise NotImplementedError("logic_element for " + str(self.logic_element_index) + + ' is not set correctly') # Write desired_mv to the network - if self.ctrl_typ == "over_ride": + elif self.ctrl_typ == "over_ride": CollectorController.write_to_ctrl_collector(net, self.fc_element, self.fc_element_index, self.fc_variable, self.ctrl_values, self.selector_typ, self.write_flag) diff --git a/pandapipes/control/controller/logic_control.py b/pandapipes/control/controller/logic_control.py index 1af3df63..5d04514e 100644 --- a/pandapipes/control/controller/logic_control.py +++ b/pandapipes/control/controller/logic_control.py @@ -44,7 +44,7 @@ class LogicControl(Controller): def __init__(self, net, element, variable, element_index, input_1=None, input_2=None, logic_type='Low', scale_factor=1.0, in_service=True, recycle=True, order=-1, level=-1, - drop_same_existing_ctrl=False, matching_params=None, + drop_same_existing_ctrl=False, matching_params=None, name=None, initial_run=False, **kwargs): # just calling init of the parent if matching_params is None: @@ -67,6 +67,7 @@ def __init__(self, net, element, variable, element_index, input_1=None, input_2= self.applied = False self.write_flag, self.variable = _detect_read_write_flag(net, element, element_index, variable) self.set_recycle(net) + self.name = name def time_step(self, net, time): """ @@ -82,12 +83,24 @@ def time_step(self, net, time): if self.input_2 is None: logger.warning("Logic input variable 2 is not initialised, or controller order is incorrect!") - if self.logic_type == 'low': - write_to_net(net, self.element, self.element_index, self.variable, min(self.input_1, self.input_2), self.write_flag) - elif self.logic_type == 'high': - write_to_net(net, self.element, self.element_index, self.variable, max(self.input_1, self.input_2), self.write_flag) + if isinstance(self.element_index, LogicControl): + # element output is to a logic block controller, thus requires setting attribute of the controller + if self.logic_type == 'min': + self.element_index.__setattr__(self.variable, min(self.input_1, self.input_2)) + elif self.logic_type == 'max': + self.element_index.__setattr__(self.variable, max(self.input_1, self.input_2)) + else: + raise NotImplementedError("Sorry, logic type not implemented yet") else: - raise NotImplementedError("Sorry, logic type not implemented yet") + # element index belongs to a standard control component - pump/valve etc. + if self.logic_type == 'max': + write_to_net(net, self.element, self.element_index, self.variable, max(self.input_1, self.input_2), + self.write_flag) + elif self.logic_type == 'min': + write_to_net(net, self.element, self.element_index, self.variable, min(self.input_1, self.input_2), + self.write_flag) + else: + raise NotImplementedError("Sorry, logic type not implemented yet") def is_converged(self, net): """ diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index 744d2e67..a7bf7308 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -21,10 +21,11 @@ class PidControl(Controller): """ - def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, sp_max, sp_min, auto=True, - direct_acting=False, process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, - Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, sp_profile_name=None, man_profile_name=None, ctrl_typ='std', - sp_data_source=None, sp_scale_factor=1.0, man_data_source=None, in_service=True, recycle=True, order=-1, level=-1, + def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_min, sp_max, sp_min, direct_acting, + auto=True, process_variable=None, process_element=None, process_element_index=None, cv_scaler=1, + Kp=1, Ti=5, Td=0, mv_max=100.00, mv_min=20.00, diff_gain= 1, sp_profile_name=None, + man_profile_name=None, ctrl_typ='std', sp_data_source=None, sp_scale_factor=1.0, + man_data_source=None, in_service=True, recycle=True, order=-1, level=-1, drop_same_existing_ctrl=False, matching_params=None, initial_run=False, **kwargs): # just calling init of the parent @@ -86,7 +87,7 @@ def __init__(self, net, fc_element, fc_variable, fc_element_index, pv_max, pv_mi self.prev_sp = 0 self.prev_cv = net[self.process_element][self.process_variable].loc[self.process_element_index] * cv_scaler self.ctrl_typ = ctrl_typ - self.diffgain = 1 # must be between 1 and 10 + self.diffgain = diff_gain # must be between 1 and 10 self.diff_part = 0 self.prev_diff_out = 0 self.auto = auto @@ -147,12 +148,14 @@ def time_step(self, net, time): # PID is in Automatic Mode if type(self.sp_data_source) is float: self.sp = self.sp_data_source + elif type(self.sp_data_source) is int: + self.sp = np.float64(self.sp_data_source) else: self.sp = self.sp_data_source.get_time_step_value(time_step=time, profile_name=self.sp_profile_name, scale_factor=self.sp_scale_factor) - # Clip set point and ensure within allowed operation ranges - self.sp = np.clip(self.sp, self.SP_min, self.SP_max) + # Clip set point and ensure within allowed operation ranges + self.sp = np.clip(self.sp, self.SP_min, self.SP_max) # PID Controller Action: if not self.direct_acting: diff --git a/pandapipes/create.py b/pandapipes/create.py index f334e423..e4e2b085 100644 --- a/pandapipes/create.py +++ b/pandapipes/create.py @@ -677,7 +677,7 @@ def create_pump(net, from_junction, to_junction, std_type, name=None, index=None return index def create_dyn_pump(net, from_junction, to_junction, std_type, name=None, actual_pos=50.00, - index=None, in_service=True, type="dynamic_pump", **kwargs): + index=None, in_service=True, type="dynamic_pump", **kwargs) -> object: """ Adds one pump in table net["pump"]. diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv index a0aefa4f..bfacb336 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_100_3285rpm.csv @@ -1,11 +1,10 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0; 57.25887844; 0; 100; 2 -0.890582589; 54.85125411; 31.78366619; -1.43999004 ; 53.37608775; 42.24010275; -1.781165178; 52.3176699 ; 46.8503758; -2.671747767; 48.55511495; 54.50553889; -3.562330356; 42.66247151; 57.07676744; -4.452912944; 34.10145476; 54.00633485; -4.4533436 ; 34.09663809; 54.00320284; -5.343495533; 22.83517592; 43.28568665; - +0; 72.8434701; 0; 100; 2 +2.585201149; 72.84890609;37.21110501; +5.170402299; 72.52488625;53.17537837; +6.171418744; 71.72552896;57.17981663; +7.579216694; 66.28787475;62.14202028; +9.748202658; 55.69293687;67.15639498; +12.02801933; 45.54946075;67.72011302; +12.03384806; 45.52501461;67.71478665; +14.49126107; 34.54662393;61.93554954; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv index 9cc5bf3c..0d8dc921 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_40_1440rpm.csv @@ -1,12 +1,18 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0; 9.16142055; 0; 40; 2 -0.356233036; 8.776200658; 12.71346648; -0.575996016; 8.54017404 ; 16.8960411; -0.712466071; 8.370827184; 18.74015032; -1.068699107; 7.768818392; 21.80221555; -1.424932142; 6.825995442; 22.83070698; -1.781165178; 5.456232762; 21.60253394; -1.78133744 ; 5.455462094; 21.60128114; -2.137398213; 3.653628147; 17.31427466; +0; 11.65495522; 0; 40; 2 +1.03408046; 11.65582497;37.21110501; +2.06816092; 11.6039818;53.17537837; +2.468567498; 11.47608463;57.17981663; +3.031686677; 10.60605996;62.14202028; +3.899281063; 8.910869899;67.15639498; +4.811207733; 7.28791372;67.72011302; +4.813539222; 7.284002337;67.71478665; +5.796504426; 5.527459828;61.93554954; + + + + + + diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv index c6777133..ad36dd56 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_60_2160rpm.csv @@ -1,11 +1,10 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0; 20.61319624; 0; 60; 2 -0.534349553; 19.74645148; 19.07019972; -0.863994024; 19.21539159; 25.34406165; -1.068699107; 18.83436116; 28.11022548; -1.60304866 ; 17.47984138; 32.70332333; -2.137398213; 15.35848974; 34.24606046; -2.671747767; 12.27652371; 32.40380091; -2.67200616 ; 12.27478971; 32.4019217; -3.20609732 ; 8.220663331; 25.97141199; - +0; 26.22364924; 0; 60; 2 +1.55112069; 26.22560619;37.21110501; +3.102241379; 26.10895905;53.17537837; +3.702851247; 25.82119043;57.17981663; +4.547530016; 23.86363491;62.14202028; +5.848921595; 20.04945727;67.15639498; +7.2168116; 16.39780587;67.72011302; +7.220308834; 16.38900526;67.71478665; +8.694756639; 12.43678461;61.93554954; \ No newline at end of file diff --git a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv index c6a2af04..eae5ed91 100644 --- a/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv +++ b/pandapipes/std_types/library/Dynamic_Pump/CRE_105_PAAEHQQE_Pump_curves/PumpCurve_80_2880rpm.csv @@ -1,11 +1,10 @@ Vdot_m3ph;Head_m;Efficiency_pct;speed_pct;degree -0; 36.6456822; 0; 80; 2 -0.712466071; 35.10480263; 25.42693296; -1.151992032; 34.16069616; 33.7920822; -1.424932142; 33.48330874; 37.48030064; -2.137398213; 31.07527357; 43.60443111; -2.849864284; 27.30398177; 45.66141395; -3.562330356; 21.82493105; 43.20506788; -3.56267488 ; 21.82184838; 43.20256227; -4.274796427; 14.61451259; 34.62854932; - +0; 46.61982086; 0; 80; 2 +2.06816092; 46.6232999;37.21110501; +4.136321839; 46.4159272;53.17537837; +4.937134995; 45.90433853;57.17981663; +6.063373355; 42.42423984;62.14202028; +7.798562126; 35.6434796;67.15639498; +9.622415466; 29.15165488;67.72011302; +9.627078445; 29.13600935;67.71478665; +11.59300885; 22.10983931;61.93554954; \ No newline at end of file From 8ab877bae1db21a96c469042a373fc5ea9208673 Mon Sep 17 00:00:00 2001 From: Pineau Date: Wed, 3 May 2023 15:10:14 +0200 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zk;l@9pWs<%AY3_psT5g~1st3~k9JrdUMR}1{|c*v=)P#;ACWD~#~>N1yc}Bn6YM8(8|jnBeHq{j=SmLU;T^Bz=Pqsy)iabhLJ}CxT98*S zeDGXpg-P0{fImmm_LS(%&1v&`$4!Mgvj~x}Opzt?pT+PDzcyADDVjUa-z-F8y)rcd zZ+-r1QYPQ2{k~A(%lgvfflkH;ocD);4h~R4AZ(zMH#Jet7^E`>am~{OiM~bFqQb~d zvKBQXG8f(M$|<>=U6KqDTdrmBZ@iU0n{183pq`HuUrH%rjJ}-Syt#!Y3gwsDP_?Vr zs~LN0vhzPVOYn;{4LFn}=%xc_C1oWBT`h5?oqSN{!z_BA;tKT!&yH8gL$hxZ$WA^~ zI$iZgHq-Vu*)m1;*ULh>d4!%$O@7&6y0oGtQs&xP*L=a;<$Ti9H$ejHViVW4z5Jp= z0vyHIs&rcJq`je7xD9P<KipRyTx`BDg7Ml+3Hf`oQ=6UXV5Fe~C%hqGl^ zna*^d6FtjN2^DrO(QzR^xb=KktGV*DzwOr{VgIpvj6aQ)u51ftxc{JPdfm>y=8-JC zcaz7HDRu9=cRxNeviS;Q(1aRZ18Q&?O2H2K+m+Iu)3<&IMzIKdn8D|-mme5m2*eg; zW8jK%K}%V=xR3|-ptQ9{WalEdt_@tx@|P&s`$6&ll(s>+BL7P~&OAYonFaz$5dJ-t zf3@HTZ3PViua3EmbVB~#%KTRYQ-m6GC@U1AVL%Px`b!$@-#w%|^s51~;-haPkr=ep zuibyPaxk3ut06z=Ssv)WgNuU$aB$uJTa=X#`p;GTpy0uE@NdCgAPBntPm?_;e9+GS s7B=PoCH((b{lRt)n$q9xs2zv?mth%PrUugmfzW}sI#|J<3Xs+0f3Mj&EC2ui diff --git a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py index fd60b359..31d917f0 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py +++ b/pandapipes/test/pipeflow_internals/transient_test_one_pipe.py @@ -24,7 +24,7 @@ def _save_single_xls_sheet(self, append): def _init_log_variable(self, net, table, variable, index=None, eval_function=None, eval_name=None): if table == "res_internal": - index = np.arange(len(net.junction) + len(net.pipe) * (sections-1)) + index = np.arange(len(net.junction) + net.pipe.sections.sum() - len(net.pipe)) return super()._init_log_variable(net, table, variable, index, eval_function, eval_name) diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py index 2c75539d..05f1db17 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py +++ b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py @@ -22,7 +22,7 @@ def _save_single_xls_sheet(self, append): def _init_log_variable(self, net, table, variable, index=None, eval_function=None, eval_name=None): if table == "res_internal": - index = np.arange(net.pipe.sections.sum() + 1) + index = np.arange(len(net.junction) + net.pipe.sections.sum() - len(net.pipe)) return super()._init_log_variable(net, table, variable, index, eval_function, eval_name) From 6cfd07c2359431f1a527871e342380dccf50df2d Mon Sep 17 00:00:00 2001 From: Theda Zoschke Date: Wed, 10 May 2023 16:08:34 +0200 Subject: [PATCH 31/35] deleted unnecessary files --- .../pipeflow_internals/mass_flow_pump.csv | 11 - .../test_pandapipes_circular_flow.py | 118 --------- ...ient_test_tee_junction_with_const_contr.py | 240 ------------------ 3 files changed, 369 deletions(-) delete mode 100644 pandapipes/test/pipeflow_internals/mass_flow_pump.csv delete mode 100644 pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py delete mode 100644 pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py diff --git a/pandapipes/test/pipeflow_internals/mass_flow_pump.csv b/pandapipes/test/pipeflow_internals/mass_flow_pump.csv deleted file mode 100644 index ec20cfa3..00000000 --- a/pandapipes/test/pipeflow_internals/mass_flow_pump.csv +++ /dev/null @@ -1,11 +0,0 @@ -,0 -0,20 -1,20 -2,20 -3,50 -4,50 -5,50 -6,60 -7,20 -8,20 -9,20 \ No newline at end of file diff --git a/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py b/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py deleted file mode 100644 index 25fe578e..00000000 --- a/pandapipes/test/pipeflow_internals/test_pandapipes_circular_flow.py +++ /dev/null @@ -1,118 +0,0 @@ -# -*- coding: utf-8 -*- -""" -Created on Thu Feb 17 09:59:19 2022 - -@author: tzoschke -""" - -import pandapipes as pp -from pandapipes.component_models import Pipe -import os -import pandas as pd -import pandapower.control as control -from pandapower.timeseries import DFData -from pandapower.timeseries import OutputWriter -from pandapipes.timeseries import run_timeseries -from pandapipes import networks -import numpy as np - -# create empty net -net = pp.create_empty_network(fluid ="water") - -# create fluid -#pandapipes.create_fluid_from_lib(net, "water", overwrite=True) - - -j0 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 0") -j1 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 1") -j2 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 2") -j3 = pp.create_junction(net, pn_bar=5, tfluid_k=293.15, name="junction 3") - - -#Pump -#this is a component, which consists of an external grid, connected to the junction specified via the from_junction-parameter and a sink, connected to the junction specified via the to_junction-parameter -pp.create_circ_pump_const_mass_flow(net, from_junction=j0, to_junction=j3, p_bar=5, mdot_kg_per_s=20, t_k=273.15+35) - -#Heat exchanger -#Positiv heat value means that heat is withdrawn from the network and supplied to a consumer -pp.create_heat_exchanger(net, from_junction=j1, to_junction=j2, diameter_m=200e-3, qext_w = 100000) - -Pipe1 = pp.create_pipe_from_parameters(net, from_junction=j0, to_junction=j1, length_km=1, diameter_m=200e-3, k_mm=.1, alpha_w_per_m2k=10, sections = 5, text_k=283) -Pipe2 = pp.create_pipe_from_parameters(net, from_junction=j2, to_junction=j3, length_km=1, diameter_m=200e-3, k_mm=.1, alpha_w_per_m2k=10, sections = 5, text_k=283) - - - -pp.pipeflow(net, mode='all') - -net.res_junction #results are written to res_junction within toolbox.py -print(net.res_junction) -net.res_pipe -print(net.res_pipe) -print(net.res_pipe.t_from_k) -print(net.res_pipe.t_to_k) -#print(Pipe1.get_internal_results(net, [0])) - - -pipe_results = Pipe.get_internal_results(net, [0]) -print("Temperature at different sections for Pipe 1:") -print(pipe_results["TINIT"]) -pipe_results = Pipe.get_internal_results(net, [1]) -print("Temperature at different sections for Pipe 2:") -print(pipe_results["TINIT"]) -#Pipe.plot_pipe(net, 0, pipe_results) - -#Start time series simulation -#_____________________________________________________________________ - -#Load profile for mass flow -profiles_mass_flow = pd.read_csv('mass_flow_pump.csv', index_col=0) -print(profiles_mass_flow) -#digital_df = pd.DataFrame({'0': [20,20,20,50,50,50,60,20,20,20]}) -#print(digital_df) -#Prepare as data source for controller -ds_massflow = DFData(profiles_mass_flow) -print(type(ds_massflow)) -#ds_massflow = DFData(digital_df) - -#profiles_temperatures = pd.DataFrame({'0': [308,307,306,305,304,303,302,301,300,299]}) -#ds_temperature = DFData(profiles_temperatures) - - -# Pass mass flow values to pump for time series simulation -const_sink = control.ConstControl(net, element='circ_pump_mass', variable='mdot_kg_per_s',element_index=net.circ_pump_mass.index.values, data_source=ds_massflow,profile_name=net.circ_pump_mass.index.values.astype(str)) - - - -#Define number of time steps -time_steps = range(10) - - - -#Output Writer -log_variables = [ ('res_pipe', 'v_mean_m_per_s'),('res_pipe', 't_from_k'),('res_pipe', 't_to_k')] -ow = OutputWriter(net, time_steps, output_path=None, log_variables=log_variables) - -# Pass temperature values to pump for time series simulation -#const_sink = control.ConstControl(net, element='circ_pump_mass', variable='t_k',element_index=net.circ_pump_mass.index.values, data_source=ds_temperature,profile_name=net.circ_pump_mass.index.values.astype(str)) -previous_temperature = pd.DataFrame(net.res_pipe.t_to_k[1], index=time_steps, columns=['0'])#range(1)) -print(previous_temperature) -ds_temperature = DFData(previous_temperature) -print(ds_temperature) - -# @Quentin: the data_source='Pass' option doesn't exist in the current version of pandapipes (I think, this is even part of pandapower), this is what I added later on. The pass_variable is the temperature. So this way the outlet temperature of the component before the pipe is passed to the component after the pipe as a starting value -# unofortunately I couldnt find the actual implementation, but it was just a small edit, we will be able to reproduce it. -# This is the old function: -#const_sink = control.ConstControl(net, element='circ_pump_mass', variable='t_k',element_index=net.circ_pump_mass.index.values, data_source=None,profile_name=net.circ_pump_mass.index.values.astype(str)) -# new implementation: -const_sink = control.ConstControl(net, element='circ_pump_mass', variable='t_k',element_index=net.circ_pump_mass.index.values, data_source='Pass',profile_name=net.circ_pump_mass.index.values.astype(str), pass_element='res_pipe', pass_variable='t_to_k', pass_element_index=1) - - -#Run time series simulation -run_timeseries(net, time_steps, mode = "all") - -print("volume flow pipe:") -print(ow.np_results["res_pipe.v_mean_m_per_s"]) -print("temperature into pipe:") -print(ow.np_results["res_pipe.t_from_k"]) -print("temperature out of pipe:") -print(ow.np_results["res_pipe.t_to_k"]) \ No newline at end of file diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py deleted file mode 100644 index 14b30010..00000000 --- a/pandapipes/test/pipeflow_internals/transient_test_tee_junction_with_const_contr.py +++ /dev/null @@ -1,240 +0,0 @@ -import pandapipes as pp -import numpy as np -import copy -import matplotlib.pyplot as plt -import time -import tempfile -# create empty net -import pandas as pd -import os -import pandapower.control as control -from pandapipes.component_models import Pipe -from pandapipes.timeseries import run_timeseries, init_default_outputwriter -from pandapower.timeseries import OutputWriter, DFData -from pandapipes import pp_dir -from types import MethodType -import matplotlib -from datetime import datetime - - -class OutputWriterTransient(OutputWriter): - def _save_single_xls_sheet(self, append): - raise NotImplementedError("Sorry not implemented yet") - - def _init_log_variable(self, net1, table, variable, index=None, eval_function=None, - eval_name=None): - if table == "res_internal": - index = np.arange(net1.pipe.sections.sum() - 1) - return super()._init_log_variable(net1, table, variable, index, eval_function, eval_name) - - -def _output_writer(net, time_steps, ow_path=None): - """ - Creating an output writer. - - :param net: Prepared pandapipes net - :type net: pandapipesNet - :param time_steps: Time steps to calculate as a list or range - :type time_steps: list, range - :param ow_path: Path to a folder where the output is written to. - :type ow_path: string, default None - :return: Output writer - :rtype: pandapower.timeseries.output_writer.OutputWriter - """ - - if transient_transfer: - log_variables = [ - ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k'), ('res_internal', 't_k') - ] - else: - log_variables = [ - ('res_junction', 't_k'), ('res_junction', 'p_bar'), ('res_pipe', 't_to_k') - ] - owtrans = OutputWriterTransient(net, time_steps, output_path=ow_path, output_file_type=".csv", - log_variables=log_variables) - return owtrans - -def _prepare_net(net): - """ - Writing the DataSources of sinks and sources to the net with ConstControl. - - :param net: Previously created or loaded pandapipes network - :type net: pandapipesNet - :return: Prepared network for time series simulation - :rtype: pandapipesNet - """ - - ds_sink, ds_ext_grid = _data_source() - control.ConstControl(net, element='sink', variable='mdot_kg_per_s', - element_index=net.sink.index.values, data_source=ds_sink, - profile_name=net.sink.index.values.astype(str)) - - control.ConstControl(net, element='ext_grid', variable='t_k', - element_index=net.ext_grid.index.values, - data_source=ds_ext_grid, profile_name=net.ext_grid.index.values.astype(str)) - control.ConstControl(net, element='sink', variable='mdot_kg_per_s', - element_index=net.sink.index.values, - data_source=ds_sink, profile_name=net.sink.index.values.astype(str)) - return net - - -def _data_source(): - """ - Read out existing time series (csv files) for sinks and sources. - - :return: Time series values from csv files for sink and source - :rtype: DataFrame - """ - profiles_sink = pd.read_csv(os.path.join(pp_dir, 'files', - 'tee_junction_timeseries_sinks.csv'), index_col=0) - profiles_source = pd.read_csv(os.path.join(pp_dir, 'files', - 'tee_junction_timeseries_ext_grid.csv'), index_col=0) - ds_sink = DFData(profiles_sink) - ds_ext_grid = DFData(profiles_source) - return ds_sink, ds_ext_grid - - -# define the network -transient_transfer = True - -net = pp.create_empty_network(fluid="water") - -# create junctions -j1 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 1") -j2 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 2") -j3 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 3") -j4 = pp.create_junction(net, pn_bar=1.05, tfluid_k=293.15, name="Junction 4") - -# create junction elements -ext_grid = pp.create_ext_grid(net, junction=j1, p_bar=5, t_k=330, name="Grid Connection") -sink = pp.create_sink(net, junction=j3, mdot_kg_per_s=2, name="Sink") -sink = pp.create_sink(net, junction=j4, mdot_kg_per_s=2, name="Sink") - -# create branch elements -sections = 3 -nodes = 4 -length = 0.1 -k_mm = 0.0472 - -pp.create_pipe_from_parameters(net, j1, j2, length, 75e-3, k_mm=k_mm, sections=sections, - alpha_w_per_m2k=5, text_k=293.15) -pp.create_pipe_from_parameters(net, j2, j3, length, 75e-3, k_mm=k_mm, sections=sections, - alpha_w_per_m2k=5, text_k=293.15) -pp.create_pipe_from_parameters(net, j2, j4, length, 75e-3, k_mm=k_mm, sections=sections, - alpha_w_per_m2k=5, text_k=293.15) - -# prepare grid with controllers -_prepare_net(net) - -# define time steps, iterations and output writer for time series simulation -dt = 1 -time_steps = range(10) -iterations = 20 -output_directory = os.path.join(tempfile.gettempdir()) #, "time_series_example" -ow = _output_writer(net, len(time_steps), ow_path=output_directory) - -# run the time series -run_timeseries(net, time_steps, transient=transient_transfer, mode="all", iter=iterations, dt=dt) - - -# print and plot results - -print("v: ", net.res_pipe.loc[0, "v_mean_m_per_s"]) -print("timestepsreq: ", ((length * 1000) / net.res_pipe.loc[0, "v_mean_m_per_s"]) / dt) - -if transient_transfer: - res_T = ow.np_results["res_internal.t_k"] -else: - res_T = ow.np_results["res_junction.t_k"] - -# pipe1 = np.zeros(((sections + 1), res_T.shape[0])) -# pipe2 = np.zeros(((sections + 1), res_T.shape[0])) -# pipe3 = np.zeros(((sections + 1), res_T.shape[0])) -# -# pipe1[0, :] = copy.deepcopy(res_T[:, 0]) -# pipe1[-1, :] = copy.deepcopy(res_T[:, 1]) -# pipe2[0, :] = copy.deepcopy(res_T[:, 1]) -# pipe2[-1, :] = copy.deepcopy(res_T[:, 2]) -# pipe3[0, :] = copy.deepcopy(res_T[:, 1]) -# pipe3[-1, :] = copy.deepcopy(res_T[:, 3]) -# if transient_transfer: -# pipe1[1:-1, :] = np.transpose(copy.deepcopy(res_T[:, nodes:nodes + (sections - 1)])) -# pipe2[1:-1, :] = np.transpose( -# copy.deepcopy(res_T[:, nodes + (sections - 1):nodes + (2 * (sections - 1))])) -# pipe3[1:-1, :] = np.transpose( -# copy.deepcopy(res_T[:, nodes + (2 * (sections - 1)):nodes + (3 * (sections - 1))])) -# -# # datap1 = pd.read_csv(os.path.join(pp_dir, 'Temperature.csv'), -# # sep=';', -# # header=1, nrows=5, keep_default_na=False) -# # datap2 = pd.read_csv(os.path.join(pp_dir, 'Temperature.csv'), -# # sep=';', -# # header=8, nrows=5, keep_default_na=False) -# # datap3 = pd.read_csv(os.path.join(pp_dir, 'Temperature.csv'), -# # sep=';', -# # header=15, nrows=5, keep_default_na=False) -# -# from IPython.display import clear_output -# -# plt.ion() -# -# fig = plt.figure() -# ax = fig.add_subplot(221) -# ax1 = fig.add_subplot(222) -# ax2 = fig.add_subplot(223) -# ax.set_title("Pipe 1") -# ax1.set_title("Pipe 2") -# ax2.set_title("Pipe 3") -# ax.set_ylabel("Temperature [K]") -# ax1.set_ylabel("Temperature [K]") -# ax2.set_ylabel("Temperature [K]") -# ax.set_xlabel("Length coordinate [m]") -# ax1.set_xlabel("Length coordinate [m]") -# ax2.set_xlabel("Length coordinate [m]") -# -# show_timesteps = [1, 5, 9] -# -# line1, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[0]], color="black", -# marker="+", label="Time step " + str(show_timesteps[0]), linestyle="dashed") -# line11, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[1]], color="black", -# linestyle="dotted", label="Time step " + str(show_timesteps[1])) -# line12, = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe1[:, show_timesteps[2]], color="black", -# linestyle="dashdot", label="Time step" + str(show_timesteps[2])) -# -# line2, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[0]], color="black", -# marker="+", linestyle="dashed") -# line21, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[1]], color="black", -# linestyle="dotted") -# line22, = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe2[:, show_timesteps[2]], color="black", -# linestyle="dashdot") -# -# # line3, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[0]], color="black", -# # marker="+", linestyle="dashed") -# # line31, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[1]], color="black", -# # linestyle="dotted") -# # line32, = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, pipe3[:, show_timesteps[2]], color="black", -# # linestyle="dashdot") -# -# # if length == 1 and sections == 4 and k_mm == 0.1 and dt == 60: -# # d1 = ax.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, datap1["T"], color="black") -# # d2 = ax1.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, datap2["T"], color="black") -# # d3 = ax2.plot(np.arange(0, sections + 1, 1) * length * 1000 / sections, datap3["T"], color="black") -# -# ax.set_ylim((280, 335)) -# ax1.set_ylim((280, 335)) -# ax2.set_ylim((280, 335)) -# ax.legend() -# fig.canvas.draw() -# plt.show() -# # plt.savefig("files/output/tee_junction"+"sections"+str(sections)+"total_length_m"+str(length*1000)+"dt"+str(dt)+"iter"+str(iterations)+"k_mm"+str(k_mm)+".png") #+datetime.now().strftime("%d-%m-%Y-%H:%M:%S") -# -# for phase in time_steps: -# line1.set_ydata(pipe1[:, phase]) -# line2.set_ydata(pipe2[:, phase]) -# # line3.set_ydata(pipe3[:, phase]) -# fig.canvas.draw() -# fig.canvas.flush_events() -# plt.pause(.01) - - -# print("Results can be found in your local temp folder: {}".format(output_directory)) From ebd9566d8c962d3cf9b4af716a71ab407b31db59 Mon Sep 17 00:00:00 2001 From: dlohmeier Date: Thu, 11 May 2023 11:02:56 +0200 Subject: [PATCH 32/35] corrected some imports from pandapower and one keyword --- pandapipes/control/controller/collecting_controller.py | 8 +++----- pandapipes/control/controller/differential_control.py | 8 +++++--- pandapipes/control/controller/logic_control.py | 2 +- pandapipes/control/controller/pid_controller.py | 6 ++++-- pandapipes/pipeflow.py | 2 +- 5 files changed, 14 insertions(+), 12 deletions(-) diff --git a/pandapipes/control/controller/collecting_controller.py b/pandapipes/control/controller/collecting_controller.py index 78a34bc0..9521d518 100644 --- a/pandapipes/control/controller/collecting_controller.py +++ b/pandapipes/control/controller/collecting_controller.py @@ -1,11 +1,9 @@ -# -*- coding: utf-8 -*- - # Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. -import pandas as pd + import numpy as np -from pandapower.toolbox import _detect_read_write_flag, write_to_net -from pandapower.auxiliary import pandapowerNet, get_free_id +import pandas as pd +from pandapower.auxiliary import get_free_id, write_to_net try: import pandaplan.core.pplog as logging diff --git a/pandapipes/control/controller/differential_control.py b/pandapipes/control/controller/differential_control.py index 9a3217a2..dd222c6a 100644 --- a/pandapipes/control/controller/differential_control.py +++ b/pandapipes/control/controller/differential_control.py @@ -3,10 +3,12 @@ # Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. -from pandapipes.control.controller.pid_controller import PidControl -from pandapower.toolbox import _detect_read_write_flag, write_to_net -from pandapipes.control.controller.collecting_controller import CollectorController import numpy as np +from pandapower.auxiliary import _detect_read_write_flag, write_to_net + +from pandapipes.control.controller.collecting_controller import CollectorController +from pandapipes.control.controller.pid_controller import PidControl + try: import pandaplan.core.pplog as logging except ImportError: diff --git a/pandapipes/control/controller/logic_control.py b/pandapipes/control/controller/logic_control.py index 5d04514e..41f2c25a 100644 --- a/pandapipes/control/controller/logic_control.py +++ b/pandapipes/control/controller/logic_control.py @@ -3,8 +3,8 @@ # Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. +from pandapower.auxiliary import _detect_read_write_flag, write_to_net from pandapower.control.basic_controller import Controller -from pandapower.toolbox import _detect_read_write_flag, write_to_net try: import pandaplan.core.pplog as logging diff --git a/pandapipes/control/controller/pid_controller.py b/pandapipes/control/controller/pid_controller.py index a7bf7308..cd999763 100644 --- a/pandapipes/control/controller/pid_controller.py +++ b/pandapipes/control/controller/pid_controller.py @@ -3,10 +3,12 @@ # Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. +import numpy as np +from pandapower.auxiliary import _detect_read_write_flag, write_to_net from pandapower.control.basic_controller import Controller -from pandapower.toolbox import _detect_read_write_flag, write_to_net + from pandapipes.control.controller.collecting_controller import CollectorController -import math, numpy as np + try: import pandaplan.core.pplog as logging except ImportError: diff --git a/pandapipes/pipeflow.py b/pandapipes/pipeflow.py index fa4f9d1f..7132d02e 100644 --- a/pandapipes/pipeflow.py +++ b/pandapipes/pipeflow.py @@ -230,7 +230,7 @@ def heat_transfer(net): error_t_out.append(linalg.norm(delta_t_out) / (len(delta_t_out))) finalize_iteration(net, niter, error_t, error_t_out, residual_norm, nonlinear_method, tol_t, - tol_t, tol_res, t_init_old, t_out_old, hyraulic_mode=True) + tol_t, tol_res, t_init_old, t_out_old, hydraulic_mode=True) niter += 1 node_pit[:, TINIT_OLD] = node_pit[:, TINIT] From ce5564f25df03f186b94ab70941d583481c7770c Mon Sep 17 00:00:00 2001 From: dlohmeier Date: Thu, 11 May 2023 11:10:01 +0200 Subject: [PATCH 33/35] restricted usage of plotly -> ignore import errors, just raise a warning if plotly is accessed without installation --- pandapipes/std_types/std_type_class.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py index f7e38c80..f1eab6b0 100644 --- a/pandapipes/std_types/std_type_class.py +++ b/pandapipes/std_types/std_type_class.py @@ -11,7 +11,12 @@ from pandapipes import logger from pandapower.io_utils import JSONSerializableClass from scipy.interpolate import interp2d -import plotly.graph_objects as go + +try: + import plotly.graph_objects as go + PLOTLY_INSTALLED = True +except ImportError: + PLOTLY_INSTALLED = False class StdType(JSONSerializableClass): @@ -205,7 +210,8 @@ def get_m_head(self, vdot_m3_per_s, speed): return m_head def plot_pump_curve(self): - + if not PLOTLY_INSTALLED: + logger.error("You need to install plotly to plot the pump curve.") fig = go.Figure(go.Surface( contours={ "x": {"show": True, "start": 1.5, "end": 2, "size": 0.04, "color": "white"}, @@ -223,9 +229,7 @@ def plot_pump_curve(self): title='Pump Curve', autosize=False, width=400, height=400, ) - #fig.show() - - return fig #self._flowrate_list, self._speed_list, self._head_list + return fig @classmethod From cbc609893ff4a71103c5ba724f8b3325c5e45904 Mon Sep 17 00:00:00 2001 From: dlohmeier Date: Thu, 11 May 2023 11:16:59 +0200 Subject: [PATCH 34/35] added init file to controller package --- pandapipes/control/controller/__init__.py | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 pandapipes/control/controller/__init__.py diff --git a/pandapipes/control/controller/__init__.py b/pandapipes/control/controller/__init__.py new file mode 100644 index 00000000..dcee3d90 --- /dev/null +++ b/pandapipes/control/controller/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2020-2023 by Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel, and University of Kassel. All rights reserved. +# Use of this source code is governed by a BSD-style license that can be found in the LICENSE file. + +from pandapipes.control.controller.pid_controller import PidControl +from pandapipes.control.controller.differential_control import DifferentialControl +from pandapipes.control.controller.collecting_controller import CollectorController +from pandapipes.control.controller.logic_control import LogicControl From 5640d7976332b4ef5d518c4bfcb4b14a65c9cf0f Mon Sep 17 00:00:00 2001 From: dlohmeier Date: Thu, 11 May 2023 11:23:48 +0200 Subject: [PATCH 35/35] commented out some code for special cases --- .../transient_test_tee_junction.py | 29 +++++++++---------- 1 file changed, 14 insertions(+), 15 deletions(-) diff --git a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py index 05f1db17..ec26d702 100644 --- a/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py +++ b/pandapipes/test/pipeflow_internals/transient_test_tee_junction.py @@ -105,17 +105,6 @@ def _output_writer(net, time_steps, ow_path=None): pipe3[1:-1, :] = np.transpose( copy.deepcopy(res_T[:, nodes + (2 * (sections - 1)):nodes + (3 * (sections - 1))])) -# datap1 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), -# sep=';', -# header=1, nrows=5, keep_default_na=False) -# datap2 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), -# sep=';', -# header=8, nrows=5, keep_default_na=False) -# datap3 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), -# sep=';', -# header=15, nrows=5, keep_default_na=False) - -from IPython.display import clear_output plt.ion() @@ -156,10 +145,20 @@ def _output_writer(net, time_steps, ow_path=None): marker="+", linestyle="dashdot") -if sections == 4: - d1 = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap1["T"], color="black") - d2 = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap2["T"], color="black") - d3 = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap3["T"], color="black") +# if sections == 4: +# datap1 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), +# sep=';', +# header=1, nrows=5, keep_default_na=False) +# datap2 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), +# sep=';', +# header=8, nrows=5, keep_default_na=False) +# datap3 = pd.read_csv(os.path.join(os.getcwd(), 'pandapipes', 'pandapipes', 'files', 'Temperature.csv'), +# sep=';', +# header=15, nrows=5, keep_default_na=False) +# +# d1 = ax.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap1["T"], color="black") +# d2 = ax1.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap2["T"], color="black") +# d3 = ax2.plot(np.arange(0, sections + 1, 1) * 1000 / sections, datap3["T"], color="black") ax.set_ylim((280, 335)) ax1.set_ylim((280, 335))