def test_convert_format(version):
filename = os.path.join(folder, "example_%s.json" % version)
if not os.path.isfile(filename):
raise ValueError("File for version %s does not exist" % version)
try:
net = pp.from_json(filename, convert=False)
except:
raise UserWarning(
"Can not load network saved in pandapipes version %s" % version)
p_bar_old = net.res_junction.p_bar.copy()
v_mean_m_per_s_old = net.res_pipe.v_mean_m_per_s.copy()
convert_format(net)
try:
pp.pipeflow(net,
run_control="controller" in net
and len(net.controller) > 0)
except:
raise UserWarning("Can not run pipe flow in network "
"saved with pandapipes version %s" % version)
p_res = np.allclose(p_bar_old.values, net.res_junction.p_bar.values)
v_res = np.allclose(v_mean_m_per_s_old.values,
net.res_pipe.v_mean_m_per_s.values)
if not all([p_res, v_res]):
raise UserWarning("Pipe flow results mismatch "
"with pandapipes version %s" % version)
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_connectivity_heat3(complex_heat_connectivity_grid):
net = copy.deepcopy(complex_heat_connectivity_grid)
net.pipe.at[5, "in_service"] = True
net.valve.at[12, "opened"] = True
net.junction.at[5, "in_service"] = False
pandapipes.pipeflow(net, mode="all", check_connectivity=True)
assert set(
net.res_junction.loc[net.res_junction.p_bar.isnull()].index) == set()
assert set(net.res_junction.loc[net.res_junction.p_bar.notnull()].index) \
== set(net.junction.index)
assert set(net.res_pipe.loc[net.res_pipe.v_mean_m_per_s.notnull()].index) \
== set(net.pipe.loc[net.pipe.in_service].index)
assert set(net.res_pipe.loc[net.res_pipe.v_mean_m_per_s.isnull()].index) \
== set(net.pipe.loc[~net.pipe.in_service].index)
assert set(net.res_valve.loc[
net.res_valve.v_mean_m_per_s.isnull()].index) == set()
assert set(net.res_valve.loc[net.res_valve.v_mean_m_per_s.notnull()].index) \
== set(net.valve.index)
assert set(
net.res_sink.loc[net.res_sink.mdot_kg_per_s.isnull()].index) == set()
assert set(
net.res_sink.loc[net.res_sink.mdot_kg_per_s.notnull()].index) == set(
net.sink.index)
assert set(net.res_source.loc[
net.res_source.mdot_kg_per_s.isnull()].index) == set()
assert set(net.res_source.loc[net.res_source.mdot_kg_per_s.notnull()].index) == \
set(net.source.index)
assert np.allclose(net.res_ext_grid.mdot_kg_per_s.sum(),
-net.res_sink.mdot_kg_per_s.sum() +
net.res_source.mdot_kg_per_s.sum(),
rtol=1e-10,
atol=0)
def test_one_node_net():
"""
:return:
:rtype:
"""
net = create_empty_network(fluid='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)
assert np.isclose(
net.res_ext_grid.values + net.res_sink.values - net.res_source.values,
0)
net = create_empty_network(fluid='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 + net.res_sink.values - net.res_source.values,
0)
def test_exclude_unconnected_junction():
"""
test if unconnected junctions that do not have the highest index are excluded correctly
(pipeflow fails if reduced_pit does not reindex the reduced nodes correctly)
:return:
:rtype:
"""
net = pandapipes.create_empty_network(fluid="lgas")
j1 = pandapipes.create_junction(net,
pn_bar=1.05,
tfluid_k=293.15,
name="Junction 1")
_ = pandapipes.create_junction(net,
pn_bar=1.05,
tfluid_k=293.15,
name="unconnected junction")
j3 = pandapipes.create_junction(net,
pn_bar=1.05,
tfluid_k=293.15,
name="Junction 3")
pandapipes.create_ext_grid(net, junction=j1, p_bar=1.1, t_k=293.15)
pandapipes.create_sink(net, junction=j3, mdot_kg_per_s=0.045)
pandapipes.create_pipe_from_parameters(net,
from_junction=j1,
to_junction=j3,
length_km=0.1,
diameter_m=0.05)
pandapipes.pipeflow(net)
assert net.converged
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 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_gas_internal_nodes():
"""
:return:
:rtype:
"""
net = pandapipes.create_empty_network("net", add_stdtypes=False)
d = 209.1e-3
pandapipes.create_junction(net, pn_bar=51, tfluid_k=285.15)
pandapipes.create_junction(net, pn_bar=51, tfluid_k=285.15)
pandapipes.create_pipe_from_parameters(net, 0, 1, 12.0, d, k_mm=.5, sections=12)
pandapipes.create_ext_grid(net, 0, p_bar=51 - 1.01325, t_k=285.15, type="pt")
pandapipes.create_sink(net, 1, mdot_kg_per_s=0.82752 * 45000 / 3600)
pandapipes.add_fluid_to_net(net, pandapipes.create_constant_fluid(
name="natural_gas", fluid_type="gas", viscosity=11.93e-6, heat_capacity=2185,
compressibility=1, der_compressibility=0, density=0.82752
))
pandapipes.pipeflow(net, stop_condition="tol", iter=70, friction_model="nikuradse",
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, "gas_sections_an.csv"), sep=';', header=0,
keep_default_na=False)
p_an = data["p1"] / 1e5
v_an = data["v"]
v_an = v_an.drop([0])
pipe_p_data_idx = np.where(pipe_results["PINIT"][:, 0] == 0)
pipe_v_data_idx = np.where(pipe_results["VINIT"][:, 0] == 0)
pipe_p_data = pipe_results["PINIT"][pipe_p_data_idx, 1]
pipe_v_data = pipe_results["VINIT"][pipe_v_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]
p_pandapipes = np.zeros(len(pipe_p_data[0]) + 2)
p_pandapipes[0] = node_pit[from_junction_nodes[0], PINIT]
p_pandapipes[1:-1] = pipe_p_data[:]
p_pandapipes[-1] = node_pit[to_junction_nodes[0], PINIT]
p_pandapipes = p_pandapipes + 1.01325
v_pandapipes = pipe_v_data[0, :]
p_diff = np.abs(1 - p_pandapipes / p_an)
v_diff = np.abs(v_an - v_pandapipes)
assert np.all(p_diff < 0.01)
assert np.all(v_diff < 0.4)
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_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_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_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_ext_grid_sorting():
net = pandapipes.create_empty_network(fluid="hgas")
j1 = pandapipes.create_junction(net, 1, 293.15, index=1)
j2 = pandapipes.create_junction(net, 1, 293.15, index=2)
j3 = pandapipes.create_junction(net, 1, 293.15, index=4)
j4 = pandapipes.create_junction(net, 1, 293.15, index=5)
j5 = pandapipes.create_junction(net, 1, 293.15, index=6)
j6 = pandapipes.create_junction(net, 1, 293.15, index=7)
pandapipes.create_ext_grid(net, j2, 1, 285.15, type="pt")
pandapipes.create_ext_grid(net, j3, 1, 285.15, type="pt")
pandapipes.create_ext_grid(net, j5, 1, 285.15, type="t")
pandapipes.create_ext_grid(net, j1, 1, 285.15, type="pt")
pandapipes.create_ext_grid(net, j1, 1, 285.15, type="pt")
pandapipes.create_pipe_from_parameters(net, j1, j4, 0.1, 0.1)
pandapipes.create_pipe_from_parameters(net, j2, j5, 0.1, 0.1)
pandapipes.create_pipe_from_parameters(net, j3, j6, 0.1, 0.1)
pandapipes.create_sink(net, j4, mdot_kg_per_s=0.1)
pandapipes.create_sink(net, j5, mdot_kg_per_s=0.1)
pandapipes.create_sink(net, j6, mdot_kg_per_s=0.1)
pandapipes.create_sink(net, j2, mdot_kg_per_s=0.02)
pandapipes.pipeflow(net)
assert np.isclose(net.res_ext_grid.at[0, "mdot_kg_per_s"],
-0.12,
atol=1e-12,
rtol=1e-12)
assert np.isclose(net.res_ext_grid.at[1, "mdot_kg_per_s"],
-0.1,
atol=1e-12,
rtol=1e-12)
assert np.isnan(net.res_ext_grid.at[2, "mdot_kg_per_s"])
assert np.isclose(net.res_ext_grid.at[3, "mdot_kg_per_s"],
-0.05,
atol=1e-12,
rtol=1e-12)
assert np.isclose(net.res_ext_grid.at[4, "mdot_kg_per_s"],
-0.05,
atol=1e-12,
rtol=1e-12)
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_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_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_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_connectivity_heat1(complex_heat_connectivity_grid):
net = copy.deepcopy(complex_heat_connectivity_grid)
pandapipes.pipeflow(net, mode="all", check_connectivity=True)
assert set(
net.res_junction.loc[net.res_junction.p_bar.notnull()].index) == {
8, 9, 10
}
assert set(net.res_junction.loc[net.res_junction.p_bar.isnull()].index) \
== set(net.junction.index) - {8, 9, 10}
assert set(
net.res_pipe.loc[net.res_pipe.v_mean_m_per_s.notnull()].index) == {
1, 2
}
assert set(net.res_pipe.loc[net.res_pipe.v_mean_m_per_s.isnull()].index) \
== set(net.pipe.index) - {1, 2}
assert set(net.res_valve.loc[
net.res_valve.v_mean_m_per_s.notnull()].index) == set()
assert set(net.res_valve.loc[net.res_valve.v_mean_m_per_s.isnull()].index) \
== set(net.valve.index)
assert set(
net.res_sink.loc[net.res_sink.mdot_kg_per_s.isnull()].index) == {
3, 4, 5
}
assert set(net.res_sink.loc[net.res_sink.mdot_kg_per_s.notnull()].index) == \
set(net.sink.index) - {3, 4, 5}
assert set(net.res_source.loc[net.res_source.mdot_kg_per_s.isnull()].index) == \
set(net.source.index)
assert set(net.res_source.loc[
net.res_source.mdot_kg_per_s.notnull()].index) == set()
assert np.allclose(net.res_ext_grid.mdot_kg_per_s.sum(),
-net.res_sink.mdot_kg_per_s.sum() +
net.res_source.mdot_kg_per_s.sum(),
rtol=1e-10,
atol=0)
def test_schutterwald():
net = networks.schutterwald(True, None)
pp.pipeflow(net)
assert net.converged
net2 = networks.schutterwald(False, None)
assert net2.sink.empty
assert len(net2.pipe.loc[net2.pipe.type == "house_connection"]) == 0
pp.pipeflow(net2)
assert net2.converged
net3 = networks.schutterwald(True, 30)
assert len(net3.sink) == 1506
assert net3.pipe.loc[net3.pipe.in_service & (net3.pipe.type == "house_connection"),
"length_km"].max() <= 0.03
pp.pipeflow(net3)
assert net3.converged
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_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 pipeflow_openmodelica_comparison(net,
log_results=True,
friction_model='colebrook',
only_update_hydraulic_matrix=False):
pp.pipeflow(net,
stop_condition="tol",
iter=100,
tol_p=1e-7,
tol_v=1e-7,
friction_model=friction_model,
only_update_hydraulic_matrix=only_update_hydraulic_matrix)
p_om = net.junction.p_om
p_valid = pd.notnull(p_om)
p_om = p_om.loc[p_valid]
if get_fluid(net).is_gas:
if 'pipe' in net:
v_diff_from_pipe, v_diff_to_pipe, v_diff_mean_pipe, v_diff_abs_pipe, \
v_mean_pandapipes_pipe, v_om_pipe = retrieve_velocity_gas(net, 'pipe')
else:
v_diff_abs_pipe = pd.Series()
v_om_pipe = pd.Series()
v_mean_pandapipes_pipe = pd.Series()
v_diff_from_pipe = pd.Series()
v_diff_to_pipe = pd.Series()
v_diff_mean_pipe = pd.Series()
diff_results_v_pipe = pd.DataFrame({
"diff_v_from_pipe": v_diff_from_pipe,
"diff_v_to_pipe": v_diff_to_pipe,
"diff_v_mean_pipe": v_diff_mean_pipe,
"diff_v_abs_pipe": v_diff_abs_pipe
})
if 'valve' in net:
v_diff_from_valve, v_diff_to_valve, v_diff_mean_valve, v_diff_abs_valve, \
v_mean_pandapipes_valve, v_om_valve = retrieve_velocity_gas(net, 'valve')
else:
v_diff_abs_valve = pd.Series()
v_om_valve = pd.Series()
v_mean_pandapipes_valve = pd.Series()
v_diff_from_valve = pd.Series()
v_diff_to_valve = pd.Series()
v_diff_mean_valve = pd.Series()
diff_results_v_valve = pd.DataFrame({
"diff_v_from_valve":
v_diff_from_valve,
"diff_v_to_valve":
v_diff_to_valve,
"diff_v_mean_valve":
v_diff_mean_valve,
"diff_v_abs_valve":
v_diff_abs_valve
})
else:
if 'pipe' in net:
v_diff_mean_pipe, v_diff_abs_pipe, v_mean_pandapipes_pipe, v_om_pipe = \
retrieve_velocity_liquid(net, element = "pipe")
else:
v_diff_abs_pipe = pd.Series()
v_om_pipe = pd.Series()
v_mean_pandapipes_pipe = pd.Series()
v_diff_mean_pipe = pd.Series()
if 'valve' in net:
v_diff_mean_valve, v_diff_abs_valve, v_mean_pandapipes_valve, v_om_pipe = \
retrieve_velocity_liquid(net, element = "valve")
else:
v_diff_abs_valve = pd.Series()
v_om_valve = pd.Series()
v_mean_pandapipes_valve = pd.Series()
v_diff_mean_valve = pd.Series()
diff_results_v_pipe = pd.DataFrame({
"diff_v_mean_pipe": v_diff_mean_pipe,
"diff_v_abs_pipe": v_diff_abs_pipe
})
diff_results_v_valve = pd.DataFrame({
"diff_v_mean_valve":
v_diff_mean_valve,
"diff_v_abs_valve":
v_diff_abs_valve
})
v_diff_abs = v_diff_abs_pipe.append(v_diff_abs_valve, ignore_index=True)
v_diff_abs.dropna(inplace=True)
p_pandapipes = net.res_junction.p_bar.loc[p_valid].values.astype(
np.float64).round(4)
p_diff = np.abs(1 - p_pandapipes / p_om)
p_diff = pd.Series(p_diff, range(len(p_diff)))
v_diff_abs = pd.Series(v_diff_abs, range(len(v_diff_abs)))
'''
print("\n p_diff = \n", p_diff)
print("\n v_diff_abs = \n", v_diff_abs)
print("\n p_diff < 0.01 = \n", p_diff < 0.01)
print("\n v_diff_abs < 0.05 = \n", v_diff_abs < 0.05)
'''
if log_results:
logger.info("p_OM %s" % p_om)
logger.info("p_PP %s" % p_pandapipes)
logger.info("v_OM_pipe %s" % v_om_pipe)
logger.info("v_PP_valve %s" % v_om_valve)
logger.info("v_PP_pipe %s" % v_mean_pandapipes_pipe)
logger.info("v_PP_valve %s" % v_mean_pandapipes_valve)
logger.info("Druckdifferenz: %s" % p_diff)
logger.info("Geschwindigkeitsdifferenz Rohr: \n %s" %
diff_results_v_pipe)
logger.info("Geschwindigkeitsdifferenz Ventil: \n %s" %
diff_results_v_valve)
return p_diff, v_diff_abs
def pipeflow_openmodelica_comparison(net,
log_results=True,
friction_model='colebrook',
mode='hydraulics',
only_update_hydraulic_matrix=False):
"""
Comparison of the calculations of OpenModelica and pandapipes.
:param net: converted OpenModelica network
:type net: pandapipesNet
:param log_results:
:type log_results: bool, True
:param friction_model:
:type friction_model: str, "colebrook"
:param mode:
:type mode: str, "nomral"
:param only_update_hydraulic_matrix:
:type only_update_hydraulic_matrix: bool, False
:return: p_diff, v_diff_abs
:rtype: one-dimensional ndarray with axis labels
"""
pp.pipeflow(net,
stop_condition="tol",
iter=100,
tol_p=1e-7,
tol_v=1e-7,
friction_model=friction_model,
mode=mode,
only_update_hydraulic_matrix=only_update_hydraulic_matrix)
print(net.res_junction)
print(net.res_pipe)
p_om = net.junction.p_om
p_valid = pd.notnull(p_om)
p_om = p_om.loc[p_valid]
if get_fluid(net).is_gas:
if 'pipe' in net:
v_diff_from_pipe, v_diff_to_pipe, v_diff_mean_pipe, v_diff_abs_pipe, \
v_mean_pandapipes_pipe, v_om_pipe = retrieve_velocity_gas(net, 'pipe')
else:
v_diff_abs_pipe = pd.Series()
v_om_pipe = pd.Series()
v_mean_pandapipes_pipe = pd.Series()
v_diff_from_pipe = pd.Series()
v_diff_to_pipe = pd.Series()
v_diff_mean_pipe = pd.Series()
diff_results_v_pipe = pd.DataFrame({
"diff_v_from_pipe": v_diff_from_pipe,
"diff_v_to_pipe": v_diff_to_pipe,
"diff_v_mean_pipe": v_diff_mean_pipe,
"diff_v_abs_pipe": v_diff_abs_pipe
})
if 'valve' in net:
v_diff_from_valve, v_diff_to_valve, v_diff_mean_valve, v_diff_abs_valve, \
v_mean_pandapipes_valve, v_om_valve = retrieve_velocity_gas(net, 'valve')
else:
v_diff_abs_valve = pd.Series()
v_om_valve = pd.Series()
v_mean_pandapipes_valve = pd.Series()
v_diff_from_valve = pd.Series()
v_diff_to_valve = pd.Series()
v_diff_mean_valve = pd.Series()
diff_results_v_valve = pd.DataFrame({
"diff_v_from_valve":
v_diff_from_valve,
"diff_v_to_valve":
v_diff_to_valve,
"diff_v_mean_valve":
v_diff_mean_valve,
"diff_v_abs_valve":
v_diff_abs_valve
})
else:
if 'pipe' in net:
v_diff_mean_pipe, v_diff_abs_pipe, v_mean_pandapipes_pipe, v_om_pipe = \
retrieve_velocity_liquid(net, element="pipe")
if mode != "hydraulics":
T_diff_mean_pipe, T_diff_abs_pipe, T_mean_pandapipes_pipe, T_om_pipe = \
retrieve_temperature_liquid(net)
else:
v_diff_abs_pipe = pd.Series()
v_om_pipe = pd.Series()
v_mean_pandapipes_pipe = pd.Series()
v_diff_mean_pipe = pd.Series()
if mode != "hydraulics":
T_diff_abs_pipe = pd.Series()
T_om_pipe = pd.Series()
T_mean_pandapipes_pipe = pd.Series()
T_diff_mean_pipe = pd.Series()
if 'valve' in net:
v_diff_mean_valve, v_diff_abs_valve, v_mean_pandapipes_valve, v_om_valve = \
retrieve_velocity_liquid(net, element="valve")
else:
v_diff_abs_valve = pd.Series()
v_om_valve = pd.Series()
v_mean_pandapipes_valve = pd.Series()
v_diff_mean_valve = pd.Series()
diff_results_v_pipe = pd.DataFrame({
"diff_v_mean_pipe": v_diff_mean_pipe,
"diff_v_abs_pipe": v_diff_abs_pipe
})
diff_results_v_valve = pd.DataFrame({
"diff_v_mean_valve":
v_diff_mean_valve,
"diff_v_abs_valve":
v_diff_abs_valve
})
v_diff_abs = v_diff_abs_pipe.append(v_diff_abs_valve, ignore_index=True)
v_diff_abs.dropna(inplace=True)
p_pandapipes = net.res_junction.p_bar.loc[p_valid].values.astype(
np.float64).round(4)
p_diff = np.abs(1 - p_pandapipes / p_om)
p_diff = pd.Series(p_diff, range(len(p_diff)))
v_diff_abs = pd.Series(v_diff_abs, range(len(v_diff_abs)))
'''
print("\n p_diff = \n", p_diff)
print("\n v_diff_abs = \n", v_diff_abs)
print("\n p_diff < 0.01 = \n", p_diff < 0.01)
print("\n v_diff_abs < 0.05 = \n", v_diff_abs < 0.05)
'''
if log_results:
logger.info("p_om %s" % p_om)
logger.info("p_PP %s" % p_pandapipes)
logger.info("v_om_pipe %s" % v_om_pipe)
logger.info("v_PP_valve %s" % v_om_valve)
logger.info("v_PP_pipe %s" % v_mean_pandapipes_pipe)
logger.info("v_PP_valve %s" % v_mean_pandapipes_valve)
logger.info("pressure difference: %s" % p_diff)
logger.info("velocity difference pipe: \n %s" % diff_results_v_pipe)
logger.info("velocity difference valve: \n %s" % diff_results_v_valve)
if mode == "hydraulics":
return p_diff, v_diff_abs
else:
return p_diff, v_diff_abs, T_diff_mean_pipe
net = pp.create_empty_network(fluid="lgas")
# create junction
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")
# create junction elements
ext_grid = pp.create_ext_grid(net,
junction=j1,
p_bar=1.1,
t_k=293.15,
name="Grid Connection")
sink = pp.create_sink(net, junction=j3, mdot_kg_per_s=0.045, name="Sink")
# create branch elements
pipe = pp.create_pipe_from_parameters(net,
from_junction=j1,
to_junction=j2,
length_km=0.1,
diameter_m=0.05,
name="Pipe")
valve = pp.create_valve(net,
from_junction=j2,
to_junction=j3,
diameter_m=0.05,
opened=True,
name="Valve")
pp.pipeflow(net)
def pipeflow_stanet_comparison(net,
log_results=True,
friction_model='nikuradse',
only_update_hydraulic_matrix=False,
**kwargs):
"""
:param net:
:type net:
:param log_results:
:type log_results:
:param plot_net:
:type plot_net:
:param friction_model:
:type friction_model:
:param only_update_hydraulic_matrix:
:type only_update_hydraulic_matrix:
:return:
:rtype:
"""
pandapipes.pipeflow(
net,
mode='hydraulics',
stop_condition="tol",
iter=100,
tol_p=1e-7,
tol_v=1e-7,
friction_model=friction_model,
only_update_hydraulic_matrix=only_update_hydraulic_matrix,
**kwargs)
p_stanet = net.junction.p_stanet
p_valid = pd.notnull(p_stanet)
p_stanet = p_stanet.loc[p_valid]
if get_fluid(net).is_gas:
if 'pipe' in net:
v_diff_from_pipe, v_diff_to_pipe, v_diff_mean_pipe, v_diff_abs_pipe, \
v_mean_pandapipes_pipe, v_stanet_pipe = retrieve_velocity_gas(net, 'pipe')
else:
v_diff_abs_pipe = pd.Series(dtype="float64")
v_stanet_pipe = pd.Series(dtype="float64")
v_mean_pandapipes_pipe = pd.Series(dtype="float64")
v_diff_from_pipe = pd.Series(dtype="float64")
v_diff_to_pipe = pd.Series(dtype="float64")
v_diff_mean_pipe = pd.Series(dtype="float64")
diff_results_v_pipe = pd.DataFrame({
"diff_v_from_pipe": v_diff_from_pipe,
"diff_v_to_pipe": v_diff_to_pipe,
"diff_v_mean_pipe": v_diff_mean_pipe,
"diff_v_abs_pipe": v_diff_abs_pipe
})
if 'valve' in net:
v_diff_from_valve, v_diff_to_valve, v_diff_mean_valve, v_diff_abs_valve, \
v_mean_pandapipes_valve, v_stanet_valve = retrieve_velocity_gas(net, 'valve')
else:
v_diff_abs_valve = pd.Series(dtype="float64")
v_stanet_valve = pd.Series(dtype="float64")
v_mean_pandapipes_valve = pd.Series(dtype="float64")
v_diff_from_valve = pd.Series(dtype="float64")
v_diff_to_valve = pd.Series(dtype="float64")
v_diff_mean_valve = pd.Series(dtype="float64")
diff_results_v_valve = pd.DataFrame({
"diff_v_from_valve":
v_diff_from_valve,
"diff_v_to_valve":
v_diff_to_valve,
"diff_v_mean_valve":
v_diff_mean_valve,
"diff_v_abs_valve":
v_diff_abs_valve
})
else:
if 'pipe' in net:
v_diff_mean_pipe, v_diff_abs_pipe, v_mean_pandapipes_pipe, v_stanet_pipe = \
retrieve_velocity_liquid(net, 'pipe')
else:
v_diff_abs_pipe = pd.Series(dtype="float64")
v_stanet_pipe = pd.Series(dtype="float64")
v_mean_pandapipes_pipe = pd.Series(dtype="float64")
v_diff_mean_pipe = pd.Series(dtype="float64")
if 'valve' in net:
v_diff_mean_valve, v_diff_abs_valve, v_mean_pandapipes_valve, v_stanet_valve = \
retrieve_velocity_liquid(net, 'valve')
else:
v_diff_abs_valve = pd.Series(dtype="float64")
v_stanet_valve = pd.Series(dtype="float64")
v_mean_pandapipes_valve = pd.Series(dtype="float64")
v_diff_mean_valve = pd.Series(dtype="float64")
diff_results_v_pipe = pd.DataFrame({
"diff_v_mean_pipe": v_diff_mean_pipe,
"diff_v_abs_pipe": v_diff_abs_pipe
})
diff_results_v_valve = pd.DataFrame({
"diff_v_mean_valve":
v_diff_mean_valve,
"diff_v_abs_valve":
v_diff_abs_valve
})
p_pandapipes = net.res_junction.p_bar.loc[p_valid].values
p_diff = np.abs(1 - p_pandapipes / p_stanet)
v_diff_abs = v_diff_abs_pipe.append(v_diff_abs_valve, ignore_index=True)
v_diff_abs.dropna(inplace=True)
# Avoiding division by zero
if log_results:
logger.info("p_sta %s" % p_stanet)
logger.info("p_PP %s" % p_pandapipes)
logger.info("v_sta_pipe %s" % v_stanet_pipe)
logger.info("v_sta_valve %s" % v_stanet_valve)
logger.info("v_PP_pipe %s" % v_mean_pandapipes_pipe)
logger.info("v_PP_valve %s" % v_mean_pandapipes_valve)
logger.info("Druckdifferenz: %s" % p_diff)
logger.info("Geschwindigkeitsdifferenz Rohr: \n %s" %
diff_results_v_pipe)
logger.info("Geschwindigkeitsdifferenz Ventil: \n %s" %
diff_results_v_valve)
return p_diff, v_diff_abs
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 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)