def test_random_net_and_one_node_net(create_test_net):
"""
:param create_test_net:
:type create_test_net:
:return:
:rtype:
"""
net = copy.deepcopy(create_test_net)
pp.create_fluid_from_lib(net, "water")
j = create_junction(net, 1, 298.15)
create_ext_grid(net, j, 1, 298.15)
create_sink(net, j, 0.01)
create_source(net, j, 0.02)
pp.pipeflow(net)
net = copy.deepcopy(create_test_net)
pp.create_fluid_from_lib(net, "lgas")
j = create_junction(net, 1, 298.15)
create_ext_grid(net, j, 1, 298.15)
create_sink(net, j, 0.01)
create_source(net, j, 0.02)
pp.pipeflow(net)
assert np.isclose(
net.res_ext_grid.values[-1] + net.res_sink.values[-1] -
net.res_source.values[-1], 0)
def test_temperature_internal_nodes_tee_2ab_1zu():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=False)
d = 75e-3
j0 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
j1 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
j2 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
j3 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
pandapipes.create_ext_grid(net, j0, p_bar=5, t_k=350, type="pt")
pandapipes.create_sink(net, j2, mdot_kg_per_s=1)
pandapipes.create_sink(net, j3, mdot_kg_per_s=1)
pandapipes.create_pipe_from_parameters(net, j0, j1, 2.5, d, k_mm=.1, alpha_w_per_m2k=5)
pandapipes.create_pipe_from_parameters(net, j1, j2, 2.5, d, k_mm=.1, alpha_w_per_m2k=5)
pandapipes.create_pipe_from_parameters(net, j1, j3, 2.5, d, k_mm=.1, alpha_w_per_m2k=5)
pandapipes.create_fluid_from_lib(net, "water", overwrite=True)
pandapipes.pipeflow(net, stop_condition="tol", iter=70, friction_model="nikuradse",
mode='all', transient=False, nonlinear_method="automatic", tol_p=1e-4,
tol_v=1e-4)
data = pd.read_csv(os.path.join(internals_data_path, "Temperature_tee_2ab_1zu_an.csv"),
sep=';', header=0, keep_default_na=False)
temp_an = data["T"]
temp_pandapipes = net.res_junction["t_k"]
temp_diff = np.abs(1 - temp_pandapipes / temp_an)
assert np.all(temp_diff < 0.01)
def test_pump_from_regression_parameteres():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=False)
j1 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j2 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j3 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j4 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
pandapipes.create_pipe_from_parameters(net,
j1,
j2,
k_mm=1.,
length_km=0.43380,
diameter_m=0.1022)
pandapipes.create_pipe_from_parameters(net,
j3,
j4,
k_mm=1.,
length_km=0.26370,
diameter_m=0.1022)
pandapipes.create_ext_grid(net, j1, 5, 283.15, type="p")
pandapipes.create_pump_from_parameters(net,
j2,
j3,
'P1',
regression_parameters=[
-1.48620799e-04,
-1.29656785e-02, 6.10000000e+00
])
pandapipes.create_sink(net, j4, 0.02333)
pandapipes.create_fluid_from_lib(net, "lgas", overwrite=True)
pandapipes.pipeflow(net,
stop_condition="tol",
iter=3,
friction_model="nikuradse",
mode="hydraulics",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
data = pd.read_csv(os.path.join(internals_data_path, "test_pump.csv"),
sep=';')
res_junction = net.res_junction.p_bar.values
res_pipe = net.res_pipe.v_mean_m_per_s.values
p_diff = np.abs(1 - res_junction / data['p'].dropna().values)
v_diff = np.abs(1 - res_pipe / data['v'].dropna().values)
assert np.all(p_diff < 0.01)
assert np.all(v_diff < 0.01)
def get_gas_example():
net_gas = g_nw.gas_meshed_square()
pandapipes.create_fluid_from_lib(net_gas, "hgas", overwrite=True)
net_gas.sink.drop(index=0, inplace=True)
net_gas.junction.pn_bar = 30
net_gas.ext_grid.p_bar = 30
net_gas.pipe.diameter_m = 0.8
return net_gas
def test_set_user_pf_options(create_test_net):
"""
:param create_test_net:
:type create_test_net:
:return:
:rtype:
"""
net = copy.deepcopy(create_test_net)
pandapipes.create_fluid_from_lib(net, "lgas")
necessary_options = {'mode': 'hydraulics'}
pandapipes.pipeflow(net, **necessary_options)
old_options = net._options.copy()
test_options = {key: i for i, key in enumerate(old_options.keys())}
pandapipes.pipeflow_setup.set_user_pf_options(net,
hello='bye',
**test_options)
test_options.update({'hello': 'bye'})
test_options.update({'hyd_flag': True})
assert net.user_pf_options == test_options
# remove what is in user_pf_options and add hello=world
pandapipes.pipeflow_setup.set_user_pf_options(net,
reset=True,
hello='world')
assert net.user_pf_options == {'hello': 'world'}
# check if 'hello' is added to net._options, but other options are untouched
pandapipes.pipeflow(net, **necessary_options)
assert 'hello' in net._options.keys() and net._options['hello'] == 'world'
net._options.pop('hello')
assert net._options == old_options
# check if user_pf_options can be deleted and net._options is as it was before
pandapipes.pipeflow_setup.set_user_pf_options(net,
reset=True,
hello='world')
pandapipes.pipeflow_setup.set_user_pf_options(net, reset=True)
assert net.user_pf_options == {}
pandapipes.pipeflow(net, **necessary_options)
assert 'hello' not in net._options.keys()
# see if user arguments overrule user_pf_options, but other user_pf_options still have the
# priority
pandapipes.pipeflow_setup.set_user_pf_options(net,
reset=True,
tol_p=1e-6,
tol_v=1e-6)
pandapipes.pipeflow(net, tol_p=1e-8, **necessary_options)
assert net.user_pf_options['tol_p'] == 1e-6
assert net._options['tol_p'] == 1e-8
assert net._options['tol_v'] == 1e-6
def test_g2g_multiple(get_gas_example):
""" coupling of multiple elements in two gas grids with one MulitEnergyController
gas-to-gas = e.g. hgas (methane) to Hydrogen conversion (SMR)"""
# get the nets
fluid1 = {"name": "hgas", "cal_value": 14.62197}
net_gas1 = copy.deepcopy(get_gas_example)
pandapipes.create_fluid_from_lib(net_gas1, fluid1["name"], overwrite=True)
fluid2 = {"name": "hydrogen", "cal_value": 38.38024}
net_gas2 = copy.deepcopy(get_gas_example)
pandapipes.create_fluid_from_lib(net_gas2, fluid2["name"], overwrite=True)
# set up multinet
mn = create_empty_multinet("test_g2g")
add_nets_to_multinet(mn, hgas_net=net_gas1, hydrogen_net=net_gas2)
# dummy component for offset in sink/source indices:
_ = pandapipes.create_sink(net_gas1, 0, mdot_kg_per_s=0.001)
no_g2g = pandapipes.create_sources(net_gas2, [0, 3], mdot_kg_per_s=0.0314)
# add components to represent G2P unit
gas1_cons_kg_per_s = 0.05
g2g_ids_cons = pandapipes.create_sinks(net_gas1,
range(1, 4),
mdot_kg_per_s=gas1_cons_kg_per_s,
name="SMR consumption")
g2g_ids_prod = pandapipes.create_sources(net_gas2, [0, 2, 5],
0,
name="SMR production")
# add coupling controller
eta = 0.65
GasToGasConversion(mn,
g2g_ids_cons,
g2g_ids_prod,
efficiency=eta,
name_gas_net_from='hgas_net',
name_gas_net_to='hydrogen_net')
run_control(mn)
# nets must not be changed
assert mn.nets["hgas_net"] == net_gas1
assert mn.nets["hydrogen_net"] == net_gas2
# check G2G result
assert np.all(net_gas1.sink.loc[g2g_ids_cons, "mdot_kg_per_s"] == \
net_gas1.res_sink.loc[g2g_ids_cons, "mdot_kg_per_s"])
assert np.all(net_gas1.sink.loc[g2g_ids_cons,
"mdot_kg_per_s"] == gas1_cons_kg_per_s)
assert np.all(net_gas2.source.loc[no_g2g, "mdot_kg_per_s"] == 0.0314)
assert np.allclose(
net_gas2.source.loc[g2g_ids_prod, "mdot_kg_per_s"],
(gas1_cons_kg_per_s * fluid1["cal_value"] / fluid2["cal_value"]) * eta)
def test_hydraulic_only():
"""
:return:
:rtype:
"""
net = pp.create_empty_network("net")
d = 75e-3
pp.create_junction(net, pn_bar=5, tfluid_k=283)
pp.create_junction(net, pn_bar=5, tfluid_k=283)
pp.create_pipe_from_parameters(net,
0,
1,
6,
diameter_m=d,
k_mm=.1,
sections=1,
alpha_w_per_m2k=5)
pp.create_ext_grid(net, 0, p_bar=5, t_k=330, type="pt")
pp.create_sink(net, 1, mdot_kg_per_s=1)
pp.create_fluid_from_lib(net, "water", overwrite=True)
pp.pipeflow(net,
stop_condition="tol",
iter=70,
friction_model="nikuradse",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
data = pd.read_csv(os.path.join(data_path, "hydraulics.csv"),
sep=';',
header=0,
keep_default_na=False)
node_pit = net["_pit"]["node"]
branch_pit = net["_pit"]["branch"]
v_an = data.loc[0, "pv"]
p_an = data.loc[1:3, "pv"]
p_pandapipes = node_pit[:, PINIT]
v_pandapipes = branch_pit[:, VINIT]
p_diff = np.abs(1 - p_pandapipes / p_an)
v_diff = np.abs(v_pandapipes - v_an)
assert np.all(p_diff < 0.01)
assert (np.all(v_diff < 0.05))
def test_g2g_single(get_gas_example):
"""gas-to-gas = hgas (methane) to Hydrogen conversion"""
# get the nets
fluid1 = {"name": "hgas", "cal_value": 14.62197}
net_gas1 = copy.deepcopy(get_gas_example)
pandapipes.create_fluid_from_lib(net_gas1, fluid1["name"], overwrite=True)
fluid2 = {"name": "hydrogen", "cal_value": 38.38024}
net_gas2 = copy.deepcopy(get_gas_example)
pandapipes.create_fluid_from_lib(net_gas2, fluid2["name"], overwrite=True)
# set up multinet
mn = create_empty_multinet("test_g2g")
add_nets_to_multinet(mn, hgas_net=net_gas1, hydrogen_net=net_gas2)
# add components to represent G2P unit
gas1_cons_kg_per_s = 0.5
g2g_id_cons = pandapipes.create_sink(net_gas1,
1,
mdot_kg_per_s=gas1_cons_kg_per_s,
name="SMR consumption")
g2g_id_prod = pandapipes.create_source(net_gas2,
1,
0,
name="SMR production")
# add coupling controller
eta = 0.65
GasToGasConversion(mn,
g2g_id_cons,
g2g_id_prod,
efficiency=eta,
name_gas_net_from='hgas_net',
name_gas_net_to='hydrogen_net')
run_control(mn)
# nets must not be changed
assert mn.nets["hgas_net"] == net_gas1
assert mn.nets["hydrogen_net"] == net_gas2
# check G2G result
assert net_gas1.sink.at[g2g_id_cons, "mdot_kg_per_s"] == \
net_gas1.res_sink.at[g2g_id_cons, "mdot_kg_per_s"]
assert net_gas1.sink.at[g2g_id_cons, "mdot_kg_per_s"] == gas1_cons_kg_per_s
assert np.isclose(
net_gas2.source.at[g2g_id_prod, "mdot_kg_per_s"],
(gas1_cons_kg_per_s * fluid1["cal_value"] / fluid2["cal_value"]) * eta)
def test_pump_bypass_high_vdot():
"""
High flow: pressure lift not <0, always >=0
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=True)
j1 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j2 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j3 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j4 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
pandapipes.create_pipe(net,
j1,
j2,
std_type='2000_ST<16',
k_mm=0.1,
length_km=0.1)
pandapipes.create_pipe(net,
j3,
j4,
std_type='2000_ST<16',
k_mm=0.1,
length_km=0.1)
pandapipes.create_ext_grid(net, j1, 5, 283.15, type="p")
pandapipes.create_pump(net, j2, j3, std_type='P1')
pandapipes.create_sink(net, j4, 1000)
pandapipes.create_fluid_from_lib(net, "hgas", overwrite=True)
pandapipes.pipeflow(net,
stop_condition="tol",
iter=30,
friction_model="nikuradse",
mode="hydraulics",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
assert net.res_pump.deltap_bar.isin([0]).all()
assert np.isclose(net.res_junction.loc[1, "p_bar"],
net.res_junction.loc[2, "p_bar"])
def test_pump_bypass_on_reverse_flow():
"""
reverse flow = no pressure lift
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=True)
j1 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j2 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j3 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j4 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
pandapipes.create_pipe(net,
j1,
j2,
std_type='125_PE_80_SDR_11',
k_mm=1.,
length_km=10)
pandapipes.create_pipe(net,
j3,
j4,
std_type='125_PE_80_SDR_11',
k_mm=1.,
length_km=12)
pandapipes.create_ext_grid(net, j1, 5, 283.15, type="p")
pandapipes.create_pump(net, j2, j3, std_type='P1')
pandapipes.create_source(net, j4, 0.02333)
pandapipes.create_fluid_from_lib(net, "hgas", overwrite=True)
pandapipes.pipeflow(net,
stop_condition="tol",
iter=3,
friction_model="nikuradse",
mode="hydraulics",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
assert net.res_pump.deltap_bar.isin([0]).all()
assert np.isclose(net.res_junction.loc[1, "p_bar"],
net.res_junction.loc[2, "p_bar"])
def test_connectivity_hydraulic(create_test_net):
"""
:param create_test_net:
:type create_test_net:
:return:
:rtype:
"""
net = copy.deepcopy(create_test_net)
net.junction.in_service = True
net.pipe.in_service = [True, False, False, True, True]
pandapipes.create_fluid_from_lib(net, "water")
pandapipes.pipeflow(net,
iter=100,
tol_p=1e-7,
tol_v=1e-7,
friction_model="nikuradse")
assert np.all(np.isnan(net.res_junction.loc[[2, 5, 6], :].values))
assert np.all(np.isnan(net.res_pipe.loc[[1, 2, 3], :].values))
assert not np.any(np.isnan(net.res_junction.loc[[0, 1, 3, 4], :].values))
assert not np.any(
np.isnan(net.res_pipe.loc[
[0, 4], ["v_mean_m_per_s", "p_from_bar", "p_to_bar"]].values))
assert not np.any(
np.isnan(net.res_sink.loc[[0, 2], "mdot_kg_per_s"].values))
assert np.all(np.isnan(net.res_sink.loc[[1, 3, 4],
"mdot_kg_per_s"].values))
assert np.allclose(net.res_ext_grid.mdot_kg_per_s.sum(),
-net.res_sink.mdot_kg_per_s.sum(),
rtol=1e-10,
atol=0)
active_branches = get_lookup(net, "branch", "active")
active_nodes = get_lookup(net, "node", "active")
assert np.all(active_nodes == np.array(
[True, True, False, True, True, False, False, False, False, True]))
assert np.all(active_branches == np.array(
[True, False, False, False, False, False, True, True, True, False]))
def test_heat_only():
net = pp.create_empty_network("net")
d = 75e-3
pp.create_junction(net, pn_bar=5, tfluid_k=283)
pp.create_junction(net, pn_bar=5, tfluid_k=283)
pp.create_pipe_from_parameters(net, 0, 1, 6, diameter_m=d, k_mm=.1, sections=6,
alpha_w_per_m2k=5)
pp.create_ext_grid(net, 0, p_bar=5, t_k=330, type="pt")
pp.create_sink(net, 1, mdot_kg_per_s=1)
pp.create_fluid_from_lib(net, "water", overwrite=True)
pp.pipeflow(net, stop_condition="tol", iter=70, friction_model="nikuradse",
nonlinear_method="automatic", mode="all")
ntw = pp.create_empty_network("net")
d = 75e-3
pp.create_junction(ntw, pn_bar=5, tfluid_k=283)
pp.create_junction(ntw, pn_bar=5, tfluid_k=283)
pp.create_pipe_from_parameters(ntw, 0, 1, 6, diameter_m=d, k_mm=.1, sections=6,
alpha_w_per_m2k=5)
pp.create_ext_grid(ntw, 0, p_bar=5, t_k=330, type="pt")
pp.create_sink(ntw, 1, mdot_kg_per_s=1)
pp.create_fluid_from_lib(ntw, "water", overwrite=True)
pp.pipeflow(ntw, stop_condition="tol", iter=50, friction_model="nikuradse",
nonlinear_method="automatic", mode="hydraulics")
p = ntw._pit["node"][:, 5]
v = ntw._pit["branch"][:, 12]
u = np.concatenate((p, v))
pp.pipeflow(ntw, sol_vec = u, stop_condition="tol", iter=50, friction_model="nikuradse",
nonlinear_method="automatic", mode = "heat")
T_net = net.res_junction.t_k
T_ntw = ntw.res_junction.t_k
T_diff = np.abs(1 - T_net / T_ntw)
assert np.all(T_diff < 0.01)
def test_connectivity_hydraulic2(create_test_net):
net = copy.deepcopy(create_test_net)
net.junction.in_service = True
net.pipe.in_service = True
net.valve.opened = True
pandapipes.create_fluid_from_lib(net, "water")
pandapipes.pipeflow(net,
iter=100,
tol_p=1e-7,
tol_v=1e-7,
friction_model="nikuradse")
pandapipes.create_junction(net, 1., 293.15)
pandapipes.create_junction(net, 1., 293.15)
j = pandapipes.create_junction(net, 1., 293.15)
pandapipes.create_junction(net, 1, 293.15)
pandapipes.create_junction(net, 1, 293.15)
pandapipes.create_pipe_from_parameters(net, 0, j, 0.1, 0.1)
pandapipes.create_sink(net, j, 0.1)
pandapipes.pipeflow(net,
iter=100,
tol_p=1e-7,
tol_v=1e-7,
friction_model="nikuradse")
active_branches = get_lookup(net, "branch", "active")
active_nodes = get_lookup(net, "node", "active")
assert np.all(active_nodes == np.array([
True, True, True, True, True, True, True, False, False, True, False,
False, True, True, True
]))
assert np.all(active_branches)
assert not np.all(
np.isnan(net.res_junction.loc[[0, 1, 2, 3, 4, 5, 9], :].values))
assert not np.all(np.isnan(net.res_pipe.values))
assert np.any(np.isnan(net.res_junction.loc[[7, 8, 10, 11], :].values))
def test_temperature_internal_nodes_single_pipe():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=False)
d = 75e-3
pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
pandapipes.create_pipe_from_parameters(net, 0, 1, 6, d, k_mm=.1, sections=6, alpha_w_per_m2k=5)
pandapipes.create_ext_grid(net, 0, p_bar=5, t_k=330, type="pt")
pandapipes.create_sink(net, 1, mdot_kg_per_s=1)
pandapipes.create_fluid_from_lib(net, "water", overwrite=True)
pandapipes.pipeflow(net, stop_condition="tol", iter=3, friction_model="nikuradse",
mode="all", transient=False, nonlinear_method="automatic", tol_p=1e-4,
tol_v=1e-4)
pipe_results = Pipe.get_internal_results(net, [0])
data = pd.read_csv(os.path.join(internals_data_path, "Temperature_one_pipe_an.csv"), sep=';',
header=0, keep_default_na=False)
temp_an = data["T"]
pipe_temp_data_idx = np.where(pipe_results["TINIT"][:, 0] == 0)
pipe_temp_data = pipe_results["TINIT"][pipe_temp_data_idx, 1]
node_pit = net["_pit"]["node"]
junction_idx_lookup = get_lookup(net, "node", "index")[Junction.table_name()]
from_junction_nodes = junction_idx_lookup[net["pipe"]["from_junction"].values]
to_junction_nodes = junction_idx_lookup[net["pipe"]["to_junction"].values]
temp_pandapipes = np.zeros(len(pipe_temp_data[0]) + 2)
temp_pandapipes[0] = node_pit[from_junction_nodes[0], TINIT]
temp_pandapipes[1:-1] = pipe_temp_data[:]
temp_pandapipes[-1] = node_pit[to_junction_nodes[0], TINIT]
temp_diff = np.abs(1 - temp_pandapipes / temp_an)
assert np.all(temp_diff < 0.01)
def test_heat_exchanger():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=False)
d = 75e-3
pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
pandapipes.create_heat_exchanger(net, 0, 1, d, qext_w=20000)
pandapipes.create_ext_grid(net, 0, p_bar=5, t_k=330, type="pt")
pandapipes.create_sink(net, 1, mdot_kg_per_s=1)
pandapipes.create_fluid_from_lib(net, "water", overwrite=True)
pandapipes.pipeflow(net,
stop_condition="tol",
iter=3,
friction_model="nikuradse",
mode="all",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
data = pd.read_csv(os.path.join(internals_data_path,
"heat_exchanger_test.csv"),
sep=';',
header=0,
keep_default_na=False)
temp_an = data["T1"]
t_pan = net.res_junction.t_k
temp_diff = np.abs(1 - t_pan / temp_an)
assert np.all(temp_diff < 0.01)
def test_p_type():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net")
d = 75e-3
pandapipes.create_junction(net, pn_bar=5, tfluid_k=293.15)
pandapipes.create_junction(net, pn_bar=5, tfluid_k=293.15)
pandapipes.create_pipe_from_parameters(net,
0,
1,
10,
diameter_m=d,
k_mm=0.1,
sections=1)
pandapipes.create_ext_grid(net, 0, p_bar=5, t_k=285.15, type="p")
pandapipes.create_sink(net, 1, mdot_kg_per_s=1)
pandapipes.create_fluid_from_lib(net, name="water")
pandapipes.pipeflow(net,
stop_condition="tol",
iter=70,
friction_model="nikuradse",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
data = pd.read_csv(os.path.join(internals_data_path, "ext_grid_p.csv"),
sep=';',
header=0,
keep_default_na=False)
p_comp = data["p"]
p_pandapipes = net.res_junction["p_bar"][0]
p_diff = np.abs(1 - p_pandapipes / p_comp.loc[0])
assert np.all(p_diff < 0.01)
def test_inservice_water(create_test_net):
"""
:param create_test_net:
:type create_test_net:
:return:
:rtype:
"""
net = copy.deepcopy(create_test_net)
pandapipes.create_fluid_from_lib(net, "water")
pandapipes.pipeflow(net,
iter=100,
tol_p=1e-7,
tol_v=1e-7,
friction_model="nikuradse")
assert np.all(np.isnan(net.res_pipe.loc[~net.pipe.in_service, :].values))
assert np.all(np.isnan(net.res_valve.loc[~net.valve.opened, :].values))
assert np.all(
np.isnan(net.res_junction.loc[~net.junction.in_service, :].values))
oos_sinks = np.isin(net.sink.junction.values, net.junction.index[~net.junction.in_service]) \
| ~net.sink.in_service.values
assert np.all(np.isnan(net.res_sink.loc[oos_sinks, :].values))
assert not any(
np.isnan(net.res_pipe.v_mean_m_per_s.loc[net.pipe.in_service].values))
assert not any(
np.isnan(net.res_valve.v_mean_m_per_s.loc[net.valve.opened].values))
assert not any(
np.isnan(net.res_junction.p_bar.loc[net.junction.in_service].values))
assert not np.any(np.isnan(net.res_sink.loc[~oos_sinks, :].values))
assert np.allclose(net.res_ext_grid.mdot_kg_per_s.sum(),
-net.res_sink.mdot_kg_per_s.sum(),
rtol=1e-10,
atol=0)
def test_t_type_single_pipe():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net")
d = 75e-3
j0 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
j1 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283)
pandapipes.create_ext_grid(net, j0, 5, 645, type="pt")
pandapipes.create_sink(net, j1, 1)
pandapipes.create_pipe_from_parameters(net,
j0,
j1,
6,
diameter_m=d,
k_mm=.1,
sections=1,
alpha_w_per_m2k=5)
pandapipes.create_fluid_from_lib(net, "water", overwrite=True)
pandapipes.pipeflow(net,
stop_condition="tol",
iter=70,
friction_model="nikuradse",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4,
mode="all")
temp = net.res_junction.t_k.values
net2 = pandapipes.create_empty_network("net")
d = 75e-3
j0 = pandapipes.create_junction(net2, pn_bar=5, tfluid_k=283)
j1 = pandapipes.create_junction(net2, pn_bar=5, tfluid_k=283)
pandapipes.create_ext_grid(net2, j0, 5, 645, type="p")
pandapipes.create_ext_grid(net2, j1, 100, 323.15, type="t")
pandapipes.create_sink(net2, j1, 1)
pandapipes.create_pipe_from_parameters(net2,
j0,
j1,
6,
diameter_m=d,
k_mm=.1,
sections=1,
alpha_w_per_m2k=5)
pandapipes.create_fluid_from_lib(net2, "water", overwrite=True)
pandapipes.pipeflow(net2,
stop_condition="tol",
iter=70,
friction_model="nikuradse",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4,
mode="all")
temp2 = net2.res_junction.t_k.values
temp_diff = np.abs(1 - temp / temp2)
assert np.all(temp_diff < 0.01)
def test_valve():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=True)
j0 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=5)
j1 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=3)
j2 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=6)
j3 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=9)
j4 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=20)
j5 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=45)
j6 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=4)
j7 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15, index=8)
pandapipes.create_ext_grid(net, j0, 5, 283.15, type="p")
pandapipes.create_pipe_from_parameters(net,
j0,
j1,
diameter_m=.1,
k=0.1,
length_km=1.)
pandapipes.create_pipe_from_parameters(net,
j3,
j4,
diameter_m=.1,
k=0.1,
length_km=.5)
pandapipes.create_pipe_from_parameters(net,
j2,
j4,
diameter_m=.1,
k=0.1,
length_km=.5)
pandapipes.create_pipe_from_parameters(net,
j5,
j4,
diameter_m=.1,
k=0.1,
length_km=.35)
pandapipes.create_pipe_from_parameters(net,
j1,
j6,
diameter_m=.1,
k=0.1,
length_km=.1,
loss_coefficient=9000)
pandapipes.create_pipe_from_parameters(net,
j1,
j7,
diameter_m=.1,
k=0.1,
length_km=.1,
loss_coefficient=9000)
pandapipes.create_valve(net, j6, j2, diameter_m=0.1, opened=False)
pandapipes.create_valve(net, j7, j3, diameter_m=0.1, opened=True)
pandapipes.create_sink(net, j5, 0.11667)
pandapipes.create_fluid_from_lib(net, "lgas", overwrite=True)
pandapipes.pipeflow(net,
stop_condition="tol",
iter=10,
friction_model="nikuradse",
mode="hydraulics",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
data = pd.read_csv(os.path.join(internals_data_path, "test_valve.csv"),
sep=';')
data_p = data['p'].dropna(inplace=False)
data_v = data['v'].dropna(inplace=False)
res_junction = net.res_junction.p_bar.values
res_pipe = net.res_pipe.v_mean_m_per_s.values
zeros = res_pipe == 0
test_zeros = data_v.values == 0
check_zeros = zeros == test_zeros
assert np.all(check_zeros)
p_diff = np.abs(1 - res_junction / data_p[data_p != 0].values)
v_diff = np.abs(1 - res_pipe[res_pipe != 0] / data_v[data_v != 0].values)
assert np.all(p_diff < 0.01)
assert np.all(v_diff < 0.01)
def release_control_test_network():
# empty net
net = pp.create_empty_network("net", add_stdtypes=False)
# fluid
pp.create_fluid_from_lib(net, "water", overwrite=True)
# junctions
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 0", index=None, in_service=True,
type="junction", geodata=None)
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 1")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 2")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 3")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 4")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 5")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 6")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 7")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 8")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 9")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 10")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 11")
pp.create_junction(net, pn_bar=3, tfluid_k=293, height_m=0, name="Junction 12")
# pipes
pp.create_pipe_from_parameters(net, from_junction=0, to_junction=8, length_km=3, diameter_m=0.01, k_mm=1,
loss_coefficient=0, sections=10, alpha_w_per_m2k=10, text_k=293,
qext_w=0., name="Pipe 0", index=None, geodata=None, in_service=True, type="pipe")
pp.create_pipe_from_parameters(net, 9, 2, length_km=6, diameter_m=0.075, k_mm=.1, sections=10,
alpha_w_per_m2k=3,
name="Pipe 1")
pp.create_pipe_from_parameters(net, 2, 12, length_km=5, diameter_m=0.06, k_mm=.1, sections=10,
alpha_w_per_m2k=20,
name="Pipe 2")
pp.create_pipe_from_parameters(net, 4, 12, length_km=0.1, diameter_m=0.07, k_mm=.1, sections=10,
alpha_w_per_m2k=2,
name="Pipe 3")
pp.create_pipe_from_parameters(net, 5, 3, length_km=1, diameter_m=0.09, k_mm=.1, sections=10, alpha_w_per_m2k=3,
name="Pipe 4")
pp.create_pipe_from_parameters(net, 4, 11, length_km=2.5, diameter_m=0.08, k_mm=.1, sections=10,
alpha_w_per_m2k=15,
name="Pipe 5")
pp.create_pipe_from_parameters(net, 7, 6, length_km=4.5, diameter_m=0.085, k_mm=.1, sections=10,
alpha_w_per_m2k=2.5, name="Pipe 6")
pp.create_pipe_from_parameters(net, 1, 7, length_km=4, diameter_m=0.03, k_mm=.1, sections=10, alpha_w_per_m2k=1,
name="Pipe 7")
# external grids
pp.create_ext_grid(net, junction=0, p_bar=3, t_k=300, name="External Grid 0", in_service=True, index=None,
type="pt")
pp.create_ext_grid(net, 1, p_bar=5, t_k=350, name="External Grid 1", type="pt")
# sinks
pp.create_sink(net, junction=2, mdot_kg_per_s=0.2, scaling=1., name="Sink 0", index=None, in_service=True,
type="sink")
pp.create_sink(net, 3, mdot_kg_per_s=0.1, name="Sink 1")
pp.create_sink(net, 4, mdot_kg_per_s=0.5, name="Sink 2")
pp.create_sink(net, 5, mdot_kg_per_s=0.07, name="Sink 3")
pp.create_sink(net, 6, mdot_kg_per_s=0.09, name="Sink 4")
pp.create_sink(net, 7, mdot_kg_per_s=0.1, name="Sink 5")
# sources
pp.create_source(net, junction=8, mdot_kg_per_s=0.1, scaling=1., name="Source 0", index=None, in_service=True,
type="source")
pp.create_source(net, junction=9, mdot_kg_per_s=0.03, name="Source 1")
pp.create_source(net, junction=10, mdot_kg_per_s=0.04, name="Source 2")
pp.create_source(net, junction=11, mdot_kg_per_s=0.09, name="Source 3")
# 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")
# pump
pp.create_pump_from_parameters(net, from_junction=8, to_junction=3, new_std_type_name="Pump",
pressure_list=[6.1, 5.8, 4],
flowrate_list=[0, 19, 83], reg_polynomial_degree=2,
poly_coefficents=None, name=None, index=None, in_service=True,
type="pump")
# circulation pump mass
pp.create_circ_pump_const_mass_flow(net, from_junction=3, to_junction=4, p_bar=6, mdot_kg_per_s=1,
t_k=290, name="Circ. Pump Mass", index=None, in_service=True,
type="pt")
# circulation pump pressure
pp.create_circ_pump_const_pressure(net, from_junction=11, to_junction=5, p_bar=5, plift_bar=2,
t_k=290, name="Circ. Pump Pressure", index=None, in_service=True, type="pt")
# heat exchanger
pp.create_heat_exchanger(net, from_junction=10, to_junction=6, diameter_m=0.08, qext_w=50, loss_coefficient=0,
name="Heat Exchanger 0", index=None, in_service=True, type="heat_exchanger")
pp.create_heat_exchanger(net, from_junction=4, to_junction=10, diameter_m=0.08, qext_w=28000,
loss_coefficient=0,
name="Heat Exchanger 1", index=None, in_service=True, type="heat_exchanger")
# time series
profiles_sink = pd.read_csv(os.path.join(pp_dir, 'test', 'api', 'release_cycle',
'release_control_test_sink_profiles.csv'), index_col=0)
profiles_source = pd.read_csv(os.path.join(pp_dir, 'test', 'api', 'release_cycle',
'release_control_test_source_profiles.csv'), index_col=0)
ds_sink = DFData(profiles_sink)
ds_source = DFData(profiles_source)
const_sink = 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))
const_source = control.ConstControl(net, element='source', variable='mdot_kg_per_s',
element_index=net.source.index.values,
data_source=ds_source,
profile_name=net.source.index.values.astype(str))
const_sink.initial_run = False
const_source.initial_run = False
pp.pipeflow(net)
pp.to_json(net, os.path.join(path, 'example_%s.json' % pp.__version__))
return net
def complex_heat_connectivity_grid():
net = pandapipes.create_empty_network()
pandapipes.create_fluid_from_lib(net, "water")
j1 = pandapipes.create_junction(net, 1, 320.15, index=1)
j2 = pandapipes.create_junction(net, 1, 320.15, index=2)
j3 = pandapipes.create_junction(net, 1, 320.15, index=3)
j4 = pandapipes.create_junction(net, 1, 320.15, index=4, in_service=False)
j5 = pandapipes.create_junction(net, 1, 320.15, index=5)
j6 = pandapipes.create_junction(net, 1, 320.15, index=6)
j7 = pandapipes.create_junction(net, 1, 320.15, index=7)
j8 = pandapipes.create_junction(net, 1, 320.15, index=8)
j9 = pandapipes.create_junction(net, 1, 320.15, index=9)
j10 = pandapipes.create_junction(net, 1, 320.15, index=10)
pandapipes.create_ext_grid(net, j1, 1, 320.15, type="p", index=5)
pandapipes.create_ext_grid(net, j7, 1, 320.15, type="t", index=2)
pandapipes.create_ext_grid(net, j10, 1, 320.15, type="pt", index=1)
pandapipes.create_pipe_from_parameters(net,
j1,
j2,
0.1,
0.1,
alpha_w_per_m2k=5,
index=3)
pandapipes.create_pipe_from_parameters(net,
j1,
j3,
0.1,
0.1,
alpha_w_per_m2k=5,
index=4)
pandapipes.create_pipe_from_parameters(net,
j2,
j4,
0.1,
0.1,
alpha_w_per_m2k=5,
in_service=False,
index=5)
pandapipes.create_pipe_from_parameters(net,
j3,
j5,
0.1,
0.1,
alpha_w_per_m2k=5,
in_service=False,
index=7)
pandapipes.create_pipe_from_parameters(net,
j6,
j7,
0.1,
0.1,
alpha_w_per_m2k=5,
index=9)
pandapipes.create_pipe_from_parameters(net,
j5,
8,
0.1,
0.1,
alpha_w_per_m2k=5,
in_service=False,
index=8)
pandapipes.create_pipe_from_parameters(net,
j8,
j10,
0.1,
0.1,
alpha_w_per_m2k=5,
index=1)
pandapipes.create_pipe_from_parameters(net,
j9,
j10,
0.1,
0.1,
alpha_w_per_m2k=5,
index=2)
pandapipes.create_valve(net, j5, j6, 0.1, index=10)
pandapipes.create_valve(net, j4, j5, 0.1, opened=False, index=12)
pandapipes.create_sink(net, j3, mdot_kg_per_s=0.1, index=3)
pandapipes.create_sink(net, j4, mdot_kg_per_s=0.1, index=4)
pandapipes.create_sink(net, j7, mdot_kg_per_s=0.2, index=5)
pandapipes.create_sink(net, j9, mdot_kg_per_s=0.1, index=7)
pandapipes.create_sink(net, j8, mdot_kg_per_s=0.1, index=1)
pandapipes.create_source(net, j5, mdot_kg_per_s=0.1, index=7)
pandapipes.create_source(net, j2, mdot_kg_per_s=0.05, index=2)
return net
def test_circulation_pump_constant_mass():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=False)
j1 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j2 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j3 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
j4 = pandapipes.create_junction(net, pn_bar=5, tfluid_k=283.15)
pandapipes.create_pipe_from_parameters(net,
j1,
j2,
k_mm=1.,
length_km=0.43380,
diameter_m=0.1022)
pandapipes.create_pipe_from_parameters(net,
j3,
j4,
k_mm=1.,
length_km=0.26370,
diameter_m=0.1022)
pandapipes.create_circ_pump_const_mass_flow(net,
j1,
j4,
5,
5,
300,
type='pt')
pandapipes.create_heat_exchanger(net, j2, j3, 0.1, qext_w=200000)
pandapipes.create_sink(net, j1, 2)
pandapipes.create_source(net, j4, 2)
pandapipes.create_fluid_from_lib(net, "water", overwrite=True)
pandapipes.pipeflow(net,
stop_condition="tol",
iter=10,
friction_model="nikuradse",
mode="all",
transient=False,
nonlinear_method="automatic",
tol_p=1e-4,
tol_v=1e-4)
data = pd.read_csv(os.path.join(internals_data_path,
"test_circ_pump_mass.csv"),
sep=';')
res_junction = net.res_junction
res_pipe = net.res_pipe.v_mean_m_per_s.values
res_pump = net.res_circ_pump_mass
p_diff = np.abs(1 - res_junction.p_bar.values / data['p'].dropna().values)
t_diff = np.abs(1 - res_junction.t_k.values / data['t'].dropna().values)
v_diff = np.abs(1 - res_pipe / data['v'].dropna().values)
mdot_diff = np.abs(1 - res_pump['mdot_kg_per_s'].values /
data['mdot'].dropna().values)
deltap_diff = np.abs(1 - res_pump['deltap_bar'].values /
data['deltap'].dropna().values)
assert np.all(p_diff < 0.01)
assert np.all(t_diff < 0.01)
assert np.all(v_diff < 0.01)
assert np.all(mdot_diff < 0.01)
assert np.all(deltap_diff < 0.01)
