/
pump_component.py
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/
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.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.idx_branch import STD_TYPE, VINIT, D, AREA, TL, LOSS_COEFFICIENT as LC, FROM_NODE, \
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
try:
import pandaplan.core.pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
class Pump(BranchWZeroLengthComponent):
"""
"""
@classmethod
def from_to_node_cols(cls):
return "from_junction", "to_junction"
@classmethod
def table_name(cls):
return "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
@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, :]
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:
# 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
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, pump_pit, node_pit):
"""
:param net:
:type net:
:param pump_pit:
:type pump_pit:
:param node_pit:
:type node_pit:
:return:
:rtype:
"""
pump_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")
]
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'),
("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"]
# 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"]
if calc_compr_pow:
output += ["compr_power_mw"]
return output, True