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dynamic_circulation_pump_component.py
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dynamic_circulation_pump_component.py
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# 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.
from operator import itemgetter
import numpy as np
from numpy import dtype
from pandapipes.component_models.abstract_models.circulation_pump import CirculationPump
from pandapipes.component_models.component_toolbox import set_fixed_node_entries, \
get_mass_flow_at_nodes
from pandapipes.component_models.component_toolbox import update_fixed_node_entries
from pandapipes.component_models.junction_component import Junction
from pandapipes.constants import P_CONVERSION, GRAVITATION_CONSTANT
from pandapipes.idx_branch import ACTIVE, TOUTINIT
from pandapipes.idx_node import PINIT, TINIT as TINIT_NODE, RHO as RHO_node
from pandapipes.pf.pipeflow_setup import get_lookup, get_net_option
try:
import pandaplan.core.pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
class DynamicCirculationPump(CirculationPump):
# class attributes
kwargs = None
prev_act_pos = None
time_step = 0
@classmethod
def table_name(cls):
return "dyn_circ_pump"
@classmethod
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_bar.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
@classmethod
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
"""
"""
Takes in the desired valve position (MV value) and computes the actual output depending on
equipment lag parameters.
Returns Actual valve position
"""
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
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']
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
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)
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, 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
else: # Steady state analysis
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()))[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
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)
circ_pump_tbl = net[cls.table_name()][net[cls.table_name()][cls.active_identifier()].values]
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]
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,
cls.get_connected_node_type(), "pt")
@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", "rho", "t_from_k",
"t_to_k", "p_static_bar", "p_flow_bar"], True
@classmethod
def get_component_input(cls):
"""
:return:
:rtype:
"""
return [("name", dtype(object)),
("return_junction", "u4"),
("flow_junction", "u4"),
("p_flow_bar", "f8"),
("t_flow_k", "f8"),
("p_lift", "f8"),
('m_head', "f8"),
("p_static_bar", "f8"),
("actual_pos", "f8"),
("in_service", 'bool'),
("std_type", dtype(object)),
("type", dtype(object))]
@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_node = junction_lookup[return_junctions]
# 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["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, TOUTINIT]
res_table["t_to_k"].values[p_grids] = node_pit[flow_nodes, TOUTINIT]
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
res_table["desired_mv"].values[p_grids] = circ_pump_tbl.desired_mv.values