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from collections import OrderedDict
import itertools
import numpy as np
from numpy import nan, array
import pandas as pd
import pytest
from .conftest import assert_series_equal, assert_frame_equal
from numpy.testing import assert_allclose
import unittest.mock as mock
from pvlib import inverter, pvsystem
from pvlib import iam as _iam
from pvlib import irradiance
from pvlib import spectrum
from pvlib.location import Location
from pvlib.pvsystem import FixedMount
from pvlib import temperature
from pvlib._deprecation import pvlibDeprecationWarning
from pvlib.tools import cosd
from pvlib.singlediode import VOLTAGE_BUILTIN
from tests.test_singlediode import get_pvsyst_fs_495
@pytest.mark.parametrize('iam_model,model_params', [
('ashrae', {'b': 0.05}),
('physical', {'K': 4, 'L': 0.002, 'n': 1.526}),
('martin_ruiz', {'a_r': 0.16}),
])
def test_PVSystem_get_iam(mocker, iam_model, model_params):
m = mocker.spy(_iam, iam_model)
system = pvsystem.PVSystem(module_parameters=model_params)
thetas = 1
iam = system.get_iam(thetas, iam_model=iam_model)
m.assert_called_with(thetas, **model_params)
assert iam < 1.
def test_PVSystem_multi_array_get_iam():
model_params = {'b': 0.05}
system = pvsystem.PVSystem(
arrays=[pvsystem.Array(mount=pvsystem.FixedMount(0, 180),
module_parameters=model_params),
pvsystem.Array(mount=pvsystem.FixedMount(0, 180),
module_parameters=model_params)]
)
iam = system.get_iam((1, 5), iam_model='ashrae')
assert len(iam) == 2
assert iam[0] != iam[1]
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
system.get_iam((1,), iam_model='ashrae')
def test_PVSystem_get_iam_sapm(sapm_module_params, mocker):
system = pvsystem.PVSystem(module_parameters=sapm_module_params)
mocker.spy(_iam, 'sapm')
aoi = 0
out = system.get_iam(aoi, 'sapm')
_iam.sapm.assert_called_once_with(aoi, sapm_module_params)
assert_allclose(out, 1.0, atol=0.01)
def test_PVSystem_get_iam_interp(mocker):
interp_module_params = {'iam_ref': (1., 0.8), 'theta_ref': (0., 80.)}
system = pvsystem.PVSystem(module_parameters=interp_module_params)
spy = mocker.spy(_iam, 'interp')
aoi = ((0., 40., 80.),)
expected = (1., 0.9, 0.8)
out = system.get_iam(aoi, iam_model='interp')
assert_allclose(out, expected)
spy.assert_called_once_with(aoi[0], **interp_module_params)
def test__normalize_sam_product_names():
BAD_NAMES = [' -.()[]:+/",', 'Module[1]']
NORM_NAMES = ['____________', 'Module_1_']
norm_names = pvsystem._normalize_sam_product_names(BAD_NAMES)
assert list(norm_names) == NORM_NAMES
BAD_NAMES = ['Module[1]', 'Module(1)']
NORM_NAMES = ['Module_1_', 'Module_1_']
with pytest.warns(UserWarning):
norm_names = pvsystem._normalize_sam_product_names(BAD_NAMES)
assert list(norm_names) == NORM_NAMES
BAD_NAMES = ['Module[1]', 'Module[1]']
NORM_NAMES = ['Module_1_', 'Module_1_']
with pytest.warns(UserWarning):
norm_names = pvsystem._normalize_sam_product_names(BAD_NAMES)
assert list(norm_names) == NORM_NAMES
def test_PVSystem_get_iam_invalid(sapm_module_params, mocker):
system = pvsystem.PVSystem(module_parameters=sapm_module_params)
with pytest.raises(ValueError):
system.get_iam(45, iam_model='not_a_model')
def test_retrieve_sam_raises_exceptions():
"""
Raise an exception if an invalid parameter is provided to `retrieve_sam()`.
"""
with pytest.raises(ValueError, match="Please provide either"):
pvsystem.retrieve_sam()
with pytest.raises(ValueError, match="Please provide either.*, not both."):
pvsystem.retrieve_sam(name="this_surely_wont_work", path="wont_work")
with pytest.raises(KeyError, match="Invalid name"):
pvsystem.retrieve_sam(name="this_surely_wont_work")
with pytest.raises(FileNotFoundError):
pvsystem.retrieve_sam(path="this_surely_wont_work.csv")
def test_retrieve_sam_databases():
"""Test the expected keys are retrieved from each database."""
keys_per_database = {
"cecmod": {'Technology', 'Bifacial', 'STC', 'PTC', 'A_c', 'Length',
'Width', 'N_s', 'I_sc_ref', 'V_oc_ref', 'I_mp_ref',
'V_mp_ref', 'alpha_sc', 'beta_oc', 'T_NOCT', 'a_ref',
'I_L_ref', 'I_o_ref', 'R_s', 'R_sh_ref', 'Adjust',
'gamma_r', 'BIPV', 'Version', 'Date'},
"sandiamod": {'Vintage', 'Area', 'Material', 'Cells_in_Series',
'Parallel_Strings', 'Isco', 'Voco', 'Impo', 'Vmpo',
'Aisc', 'Aimp', 'C0', 'C1', 'Bvoco', 'Mbvoc', 'Bvmpo',
'Mbvmp', 'N', 'C2', 'C3', 'A0', 'A1', 'A2', 'A3', 'A4',
'B0', 'B1', 'B2', 'B3', 'B4', 'B5', 'DTC', 'FD', 'A',
'B', 'C4', 'C5', 'IXO', 'IXXO', 'C6', 'C7', 'Notes'},
"adrinverter": {'Manufacturer', 'Model', 'Source', 'Vac', 'Vintage',
'Pacmax', 'Pnom', 'Vnom', 'Vmin', 'Vmax',
'ADRCoefficients', 'Pnt', 'Vdcmax', 'Idcmax',
'MPPTLow', 'MPPTHi', 'TambLow', 'TambHi', 'Weight',
'PacFitErrMax', 'YearOfData'},
"cecinverter": {'Vac', 'Paco', 'Pdco', 'Vdco', 'Pso', 'C0', 'C1', 'C2',
'C3', 'Pnt', 'Vdcmax', 'Idcmax', 'Mppt_low',
'Mppt_high', 'CEC_Date', 'CEC_Type'}
} # fmt: skip
item_per_database = {
"cecmod": "Itek_Energy_LLC_iT_300_HE",
"sandiamod": "Canadian_Solar_CS6X_300M__2013_",
"adrinverter": "Sainty_Solar__SSI_4K4U_240V__CEC_2011_",
"cecinverter": "ABB__PVI_3_0_OUTD_S_US__208V_",
}
# duplicate the cecinverter items for sandiainverter, for backwards compat
keys_per_database["sandiainverter"] = keys_per_database["cecinverter"]
item_per_database["sandiainverter"] = item_per_database["cecinverter"]
for database in keys_per_database.keys():
data = pvsystem.retrieve_sam(database)
assert set(data.index) == keys_per_database[database]
assert item_per_database[database] in data.columns
def test_sapm(sapm_module_params):
times = pd.date_range(start='2015-01-01', periods=5, freq='12h')
effective_irradiance = pd.Series([-1000, 500, 1100, np.nan, 1000],
index=times)
temp_cell = pd.Series([10, 25, 50, 25, np.nan], index=times)
out = pvsystem.sapm(effective_irradiance, temp_cell, sapm_module_params)
expected = pd.DataFrame(np.array(
[[-5.0608322, -4.65037767, np.nan, np.nan, np.nan,
-4.91119927, -4.16721569],
[2.545575, 2.28773882, 56.86182059, 47.21121608, 108.00693168,
2.48357383, 1.71782772],
[5.65584763, 5.01709903, 54.1943277, 42.51861718, 213.32011294,
5.52987899, 3.46796463],
[np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan],
[np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan]]),
columns=['i_sc', 'i_mp', 'v_oc', 'v_mp', 'p_mp', 'i_x', 'i_xx'],
index=times)
assert_frame_equal(out, expected, check_less_precise=4)
out = pvsystem.sapm(1000, 25, sapm_module_params)
expected = OrderedDict()
expected['i_sc'] = sapm_module_params['Isco']
expected['i_mp'] = sapm_module_params['Impo']
expected['v_oc'] = sapm_module_params['Voco']
expected['v_mp'] = sapm_module_params['Vmpo']
expected['p_mp'] = sapm_module_params['Impo'] * sapm_module_params['Vmpo']
expected['i_x'] = sapm_module_params['IXO']
expected['i_xx'] = sapm_module_params['IXXO']
for k, v in expected.items():
assert_allclose(out[k], v, atol=1e-4)
# just make sure it works with Series input
pvsystem.sapm(effective_irradiance, temp_cell,
pd.Series(sapm_module_params))
def test_PVSystem_sapm(sapm_module_params, mocker):
mocker.spy(pvsystem, 'sapm')
system = pvsystem.PVSystem(module_parameters=sapm_module_params)
effective_irradiance = 500
temp_cell = 25
out = system.sapm(effective_irradiance, temp_cell)
pvsystem.sapm.assert_called_once_with(effective_irradiance, temp_cell,
sapm_module_params)
assert_allclose(out['p_mp'], 100, 10)
def test_PVSystem_multi_array_sapm(sapm_module_params):
system = pvsystem.PVSystem(
arrays=[pvsystem.Array(pvsystem.FixedMount(0, 180),
module_parameters=sapm_module_params),
pvsystem.Array(pvsystem.FixedMount(0, 180),
module_parameters=sapm_module_params)]
)
effective_irradiance = (100, 500)
temp_cell = (15, 25)
sapm_one, sapm_two = system.sapm(effective_irradiance, temp_cell)
assert sapm_one['p_mp'] != sapm_two['p_mp']
sapm_one_flip, sapm_two_flip = system.sapm(
(effective_irradiance[1], effective_irradiance[0]),
(temp_cell[1], temp_cell[0])
)
assert sapm_one_flip['p_mp'] == sapm_two['p_mp']
assert sapm_two_flip['p_mp'] == sapm_one['p_mp']
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
system.sapm(effective_irradiance, 10)
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
system.sapm(500, temp_cell)
def test_PVSystem_sapm_spectral_loss(sapm_module_params, mocker):
mocker.spy(spectrum, 'spectral_factor_sapm')
system = pvsystem.PVSystem(module_parameters=sapm_module_params)
airmass = 2
out = system.sapm_spectral_loss(airmass)
spectrum.spectral_factor_sapm.assert_called_once_with(airmass,
sapm_module_params)
assert_allclose(out, 1, atol=0.5)
def test_PVSystem_multi_array_sapm_spectral_loss(sapm_module_params):
system = pvsystem.PVSystem(
arrays=[pvsystem.Array(pvsystem.FixedMount(0, 180),
module_parameters=sapm_module_params),
pvsystem.Array(pvsystem.FixedMount(0, 180),
module_parameters=sapm_module_params)]
)
loss_one, loss_two = system.sapm_spectral_loss(2)
assert loss_one == loss_two
# this test could be improved to cover all cell types.
# could remove the need for specifying spectral coefficients if we don't
# care about the return value at all
@pytest.mark.parametrize('module_parameters,module_type,coefficients', [
({'Technology': 'mc-Si'}, 'multisi', None),
({'Material': 'Multi-c-Si'}, 'multisi', None),
({'first_solar_spectral_coefficients': (
0.84, -0.03, -0.008, 0.14, 0.04, -0.002)},
None,
(0.84, -0.03, -0.008, 0.14, 0.04, -0.002))
])
def test_PVSystem_first_solar_spectral_loss(module_parameters, module_type,
coefficients, mocker):
mocker.spy(spectrum, 'spectral_factor_firstsolar')
system = pvsystem.PVSystem(module_parameters=module_parameters)
pw = 3
airmass_absolute = 3
out = system.first_solar_spectral_loss(pw, airmass_absolute)
spectrum.spectral_factor_firstsolar.assert_called_once_with(
pw, airmass_absolute, module_type, coefficients)
assert_allclose(out, 1, atol=0.5)
def test_PVSystem_multi_array_first_solar_spectral_loss():
system = pvsystem.PVSystem(
arrays=[
pvsystem.Array(
mount=pvsystem.FixedMount(0, 180),
module_parameters={'Technology': 'mc-Si'},
module_type='multisi'
),
pvsystem.Array(
mount=pvsystem.FixedMount(0, 180),
module_parameters={'Technology': 'mc-Si'},
module_type='multisi'
)
]
)
loss_one, loss_two = system.first_solar_spectral_loss(1, 3)
assert loss_one == loss_two
@pytest.mark.parametrize('test_input,expected', [
([1000, 100, 5, 45], 1140.0510967821877),
([np.array([np.nan, 1000, 1000]),
np.array([100, np.nan, 100]),
np.array([1.1, 1.1, 1.1]),
np.array([10, 10, 10])],
np.array([np.nan, np.nan, 1081.1574])),
([pd.Series([1000]), pd.Series([100]), pd.Series([1.1]),
pd.Series([10])],
pd.Series([1081.1574]))
])
def test_sapm_effective_irradiance(sapm_module_params, test_input, expected):
test_input.append(sapm_module_params)
out = pvsystem.sapm_effective_irradiance(*test_input)
if isinstance(test_input, pd.Series):
assert_series_equal(out, expected, check_less_precise=4)
else:
assert_allclose(out, expected, atol=1e-1)
def test_PVSystem_sapm_effective_irradiance(sapm_module_params, mocker):
system = pvsystem.PVSystem(module_parameters=sapm_module_params)
mocker.spy(pvsystem, 'sapm_effective_irradiance')
poa_direct = 900
poa_diffuse = 100
airmass_absolute = 1.5
aoi = 0
p = (sapm_module_params['A4'], sapm_module_params['A3'],
sapm_module_params['A2'], sapm_module_params['A1'],
sapm_module_params['A0'])
f1 = np.polyval(p, airmass_absolute)
expected = f1 * (poa_direct + sapm_module_params['FD'] * poa_diffuse)
out = system.sapm_effective_irradiance(
poa_direct, poa_diffuse, airmass_absolute, aoi)
pvsystem.sapm_effective_irradiance.assert_called_once_with(
poa_direct, poa_diffuse, airmass_absolute, aoi, sapm_module_params)
assert_allclose(out, expected, atol=0.1)
def test_PVSystem_multi_array_sapm_effective_irradiance(sapm_module_params):
system = pvsystem.PVSystem(
arrays=[pvsystem.Array(pvsystem.FixedMount(0, 180),
module_parameters=sapm_module_params),
pvsystem.Array(pvsystem.FixedMount(0, 180),
module_parameters=sapm_module_params)]
)
poa_direct = (500, 900)
poa_diffuse = (50, 100)
aoi = (0, 10)
airmass_absolute = 1.5
irrad_one, irrad_two = system.sapm_effective_irradiance(
poa_direct, poa_diffuse, airmass_absolute, aoi
)
assert irrad_one != irrad_two
@pytest.fixture
def two_array_system(pvsyst_module_params, cec_module_params):
"""Two-array PVSystem.
Both arrays are identical.
"""
temperature_model = temperature.TEMPERATURE_MODEL_PARAMETERS['sapm'][
'open_rack_glass_glass'
]
# Need u_v to be non-zero so wind-speed changes cell temperature
# under the pvsyst model.
temperature_model['u_v'] = 1.0
# parameter for fuentes temperature model
temperature_model['noct_installed'] = 45
# parameters for noct_sam temperature model
temperature_model['noct'] = 45.
temperature_model['module_efficiency'] = 0.2
module_params = {**pvsyst_module_params, **cec_module_params}
return pvsystem.PVSystem(
arrays=[
pvsystem.Array(
mount=pvsystem.FixedMount(0, 180),
temperature_model_parameters=temperature_model,
module_parameters=module_params
),
pvsystem.Array(
mount=pvsystem.FixedMount(0, 180),
temperature_model_parameters=temperature_model,
module_parameters=module_params
)
]
)
@pytest.mark.parametrize("poa_direct, poa_diffuse, aoi",
[(20, (10, 10), (20, 20)),
((20, 20), (10,), (20, 20)),
((20, 20), (10, 10), 20)])
def test_PVSystem_sapm_effective_irradiance_value_error(
poa_direct, poa_diffuse, aoi, two_array_system):
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
two_array_system.sapm_effective_irradiance(
poa_direct, poa_diffuse, 10, aoi
)
def test_PVSystem_sapm_celltemp(mocker):
a, b, deltaT = (-3.47, -0.0594, 3) # open_rack_glass_glass
temp_model_params = {'a': a, 'b': b, 'deltaT': deltaT}
system = pvsystem.PVSystem(temperature_model_parameters=temp_model_params)
mocker.spy(temperature, 'sapm_cell')
temps = 25
irrads = 1000
winds = 1
out = system.get_cell_temperature(irrads, temps, winds, model='sapm')
temperature.sapm_cell.assert_called_once_with(irrads, temps, winds, a, b,
deltaT)
assert_allclose(out, 57, atol=1)
def test_PVSystem_sapm_celltemp_kwargs(mocker):
temp_model_params = temperature.TEMPERATURE_MODEL_PARAMETERS['sapm'][
'open_rack_glass_glass']
system = pvsystem.PVSystem(temperature_model_parameters=temp_model_params)
mocker.spy(temperature, 'sapm_cell')
temps = 25
irrads = 1000
winds = 1
out = system.get_cell_temperature(irrads, temps, winds, model='sapm')
temperature.sapm_cell.assert_called_once_with(irrads, temps, winds,
temp_model_params['a'],
temp_model_params['b'],
temp_model_params['deltaT'])
assert_allclose(out, 57, atol=1)
def test_PVSystem_multi_array_sapm_celltemp_different_arrays():
temp_model_one = temperature.TEMPERATURE_MODEL_PARAMETERS['sapm'][
'open_rack_glass_glass']
temp_model_two = temperature.TEMPERATURE_MODEL_PARAMETERS['sapm'][
'close_mount_glass_glass']
system = pvsystem.PVSystem(
arrays=[pvsystem.Array(pvsystem.FixedMount(0, 180),
temperature_model_parameters=temp_model_one),
pvsystem.Array(pvsystem.FixedMount(0, 180),
temperature_model_parameters=temp_model_two)]
)
temp_one, temp_two = system.get_cell_temperature(
(1000, 1000), 25, 1, model='sapm'
)
assert temp_one != temp_two
def test_PVSystem_pvsyst_celltemp(mocker):
parameter_set = 'insulated'
temp_model_params = temperature.TEMPERATURE_MODEL_PARAMETERS['pvsyst'][
parameter_set]
alpha_absorption = 0.85
module_efficiency = 0.17
module_parameters = {'alpha_absorption': alpha_absorption,
'module_efficiency': module_efficiency}
system = pvsystem.PVSystem(module_parameters=module_parameters,
temperature_model_parameters=temp_model_params)
mocker.spy(temperature, 'pvsyst_cell')
irrad = 800
temp = 45
wind = 0.5
out = system.get_cell_temperature(irrad, temp, wind_speed=wind,
model='pvsyst')
temperature.pvsyst_cell.assert_called_once_with(
irrad, temp, wind_speed=wind, u_c=temp_model_params['u_c'],
u_v=temp_model_params['u_v'], module_efficiency=module_efficiency,
alpha_absorption=alpha_absorption)
assert (out < 90) and (out > 70)
def test_PVSystem_faiman_celltemp(mocker):
u0, u1 = 25.0, 6.84 # default values
temp_model_params = {'u0': u0, 'u1': u1}
system = pvsystem.PVSystem(temperature_model_parameters=temp_model_params)
mocker.spy(temperature, 'faiman')
temps = 25
irrads = 1000
winds = 1
out = system.get_cell_temperature(irrads, temps, winds, model='faiman')
temperature.faiman.assert_called_once_with(irrads, temps, winds, u0, u1)
assert_allclose(out, 56.4, atol=1e-1)
def test_PVSystem_noct_celltemp(mocker):
poa_global, temp_air, wind_speed, noct, module_efficiency = (
1000., 25., 1., 45., 0.2)
expected = 55.230790492
temp_model_params = {'noct': noct, 'module_efficiency': module_efficiency}
system = pvsystem.PVSystem(temperature_model_parameters=temp_model_params)
mocker.spy(temperature, 'noct_sam')
out = system.get_cell_temperature(poa_global, temp_air, wind_speed,
model='noct_sam')
temperature.noct_sam.assert_called_once_with(
poa_global, temp_air, wind_speed, noct, module_efficiency,
effective_irradiance=None)
assert_allclose(out, expected)
# different types
out = system.get_cell_temperature(np.array(poa_global), np.array(temp_air),
np.array(wind_speed), model='noct_sam')
assert_allclose(out, expected)
dr = pd.date_range(start='2020-01-01 12:00:00', end='2020-01-01 13:00:00',
freq='1h')
out = system.get_cell_temperature(pd.Series(index=dr, data=poa_global),
pd.Series(index=dr, data=temp_air),
pd.Series(index=dr, data=wind_speed),
model='noct_sam')
assert_series_equal(out, pd.Series(index=dr, data=expected))
# now use optional arguments
temp_model_params.update({'transmittance_absorptance': 0.8,
'array_height': 2,
'mount_standoff': 2.0})
expected = 60.477703576
system = pvsystem.PVSystem(temperature_model_parameters=temp_model_params)
out = system.get_cell_temperature(poa_global, temp_air, wind_speed,
effective_irradiance=1100.,
model='noct_sam')
assert_allclose(out, expected)
def test_PVSystem_noct_celltemp_error():
poa_global, temp_air, wind_speed, module_efficiency = (1000., 25., 1., 0.2)
temp_model_params = {'module_efficiency': module_efficiency}
system = pvsystem.PVSystem(temperature_model_parameters=temp_model_params)
with pytest.raises(KeyError):
system.get_cell_temperature(poa_global, temp_air, wind_speed,
model='noct_sam')
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_functions(model, two_array_system):
times = pd.date_range(start='2020-08-25 11:00', freq='h', periods=3)
irrad_one = pd.Series(1000, index=times)
irrad_two = pd.Series(500, index=times)
temp_air = pd.Series(25, index=times)
wind_speed = pd.Series(1, index=times)
temp_one, temp_two = two_array_system.get_cell_temperature(
(irrad_one, irrad_two), temp_air, wind_speed, model=model)
assert (temp_one != temp_two).all()
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_multi_temp(model, two_array_system):
times = pd.date_range(start='2020-08-25 11:00', freq='h', periods=3)
irrad = pd.Series(1000, index=times)
temp_air_one = pd.Series(25, index=times)
temp_air_two = pd.Series(5, index=times)
wind_speed = pd.Series(1, index=times)
temp_one, temp_two = two_array_system.get_cell_temperature(
(irrad, irrad),
(temp_air_one, temp_air_two),
wind_speed,
model=model
)
assert (temp_one != temp_two).all()
temp_one_swtich, temp_two_switch = two_array_system.get_cell_temperature(
(irrad, irrad),
(temp_air_two, temp_air_one),
wind_speed,
model=model
)
assert_series_equal(temp_one, temp_two_switch)
assert_series_equal(temp_two, temp_one_swtich)
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_multi_wind(model, two_array_system):
times = pd.date_range(start='2020-08-25 11:00', freq='h', periods=3)
irrad = pd.Series(1000, index=times)
temp_air = pd.Series(25, index=times)
wind_speed_one = pd.Series(1, index=times)
wind_speed_two = pd.Series(5, index=times)
temp_one, temp_two = two_array_system.get_cell_temperature(
(irrad, irrad),
temp_air,
(wind_speed_one, wind_speed_two),
model=model
)
assert (temp_one != temp_two).all()
temp_one_swtich, temp_two_switch = two_array_system.get_cell_temperature(
(irrad, irrad),
temp_air,
(wind_speed_two, wind_speed_one),
model=model
)
assert_series_equal(temp_one, temp_two_switch)
assert_series_equal(temp_two, temp_one_swtich)
def test_PVSystem_get_cell_temperature_invalid():
system = pvsystem.PVSystem()
with pytest.raises(ValueError, match='not a valid'):
system.get_cell_temperature(1000, 25, 1, 'not_a_model')
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_temp_too_short(
model, two_array_system):
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
two_array_system.get_cell_temperature((1000, 1000), (1,), 1,
model=model)
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_temp_too_long(
model, two_array_system):
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
two_array_system.get_cell_temperature((1000, 1000), (1, 1, 1), 1,
model=model)
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_wind_too_short(
model, two_array_system):
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
two_array_system.get_cell_temperature((1000, 1000), 25, (1,),
model=model)
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_wind_too_long(
model, two_array_system):
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
two_array_system.get_cell_temperature((1000, 1000), 25, (1, 1, 1),
model=model)
@pytest.mark.parametrize("model",
['faiman', 'pvsyst', 'sapm', 'fuentes', 'noct_sam'])
def test_PVSystem_multi_array_celltemp_poa_length_mismatch(
model, two_array_system):
with pytest.raises(ValueError,
match="Length mismatch for per-array parameter"):
two_array_system.get_cell_temperature(1000, 25, 1, model=model)
def test_PVSystem_fuentes_celltemp(mocker):
noct_installed = 45
temp_model_params = {'noct_installed': noct_installed, 'surface_tilt': 0}
system = pvsystem.PVSystem(temperature_model_parameters=temp_model_params)
spy = mocker.spy(temperature, 'fuentes')
index = pd.date_range('2019-01-01 11:00', freq='h', periods=3)
temps = pd.Series(25, index)
irrads = pd.Series(1000, index)
winds = pd.Series(1, index)
out = system.get_cell_temperature(irrads, temps, winds, model='fuentes')
assert_series_equal(spy.call_args[0][0], irrads)
assert_series_equal(spy.call_args[0][1], temps)
assert_series_equal(spy.call_args[0][2], winds)
assert spy.call_args[0][3] == noct_installed
assert_series_equal(out, pd.Series([52.85, 55.85, 55.85], index,
name='tmod'))
def test_PVSystem_fuentes_module_height(mocker):
# check that fuentes picks up Array.mount.module_height correctly
# (temperature.fuentes defaults to 5 for module_height)
array = pvsystem.Array(mount=FixedMount(module_height=3),
temperature_model_parameters={'noct_installed': 45})
spy = mocker.spy(temperature, 'fuentes')
index = pd.date_range('2019-01-01 11:00', freq='h', periods=3)
temps = pd.Series(25, index)
irrads = pd.Series(1000, index)
winds = pd.Series(1, index)
_ = array.get_cell_temperature(irrads, temps, winds, model='fuentes')
assert spy.call_args[1]['module_height'] == 3
def test_Array__infer_temperature_model_params():
array = pvsystem.Array(mount=FixedMount(0, 180,
racking_model='open_rack'),
module_parameters={},
module_type='glass_polymer')
expected = temperature.TEMPERATURE_MODEL_PARAMETERS[
'sapm']['open_rack_glass_polymer']
assert expected == array._infer_temperature_model_params()
array = pvsystem.Array(mount=FixedMount(0, 180,
racking_model='freestanding'),
module_parameters={},
module_type='glass_polymer')
expected = temperature.TEMPERATURE_MODEL_PARAMETERS[
'pvsyst']['freestanding']
assert expected == array._infer_temperature_model_params()
array = pvsystem.Array(mount=FixedMount(0, 180,
racking_model='insulated'),
module_parameters={},
module_type=None)
expected = temperature.TEMPERATURE_MODEL_PARAMETERS[
'pvsyst']['insulated']
assert expected == array._infer_temperature_model_params()
def test_Array__infer_cell_type():
array = pvsystem.Array(mount=pvsystem.FixedMount(0, 180),
module_parameters={})
assert array._infer_cell_type() is None
def _calcparams_correct_Python_type_numeric_type_cases():
"""
An auxilary function used in the unit tests named
``test_calcparams_*_returns_correct_Python_type``.
Returns
-------
Returns a list of tuples of functions intended for transforming a
Python scalar into a numeric type: scalar, np.ndarray, or pandas.Series
"""
return list(itertools.product(*(2 * [[
# scalars (e.g. Python floats)
lambda x: x,
# np.ndarrays (0d and 1d-arrays)
np.array,
lambda x: np.array([x]),
# pd.Series (1d-arrays)
pd.Series
]])))
def _calcparams_correct_Python_type_check(out_value, numeric_args):
"""
An auxilary function used in the unit tests named
``test_calcparams_*_returns_correct_Python_type``.
Parameters
----------
out_value: numeric
A value returned by a pvsystem.calcparams_ function.
numeric_args: numeric
An iterable of the numeric-type arguments to the pvsystem.calcparams_
functions: ``effective_irradiance`` and ``temp_cell``.
Returns
-------
bool indicating whether ``out_value`` has the correct Python type
based on the Python types of ``effective_irradiance`` and
``temp_cell``.
"""
if any(isinstance(a, pd.Series) for a in numeric_args):
return isinstance(out_value, pd.Series)
elif any(isinstance(a, np.ndarray) for a in numeric_args):
return isinstance(out_value, np.ndarray) # 0d or 1d-arrays
return np.isscalar(out_value)
@pytest.mark.parametrize('numeric_type_funcs',
_calcparams_correct_Python_type_numeric_type_cases())
def test_calcparams_desoto_returns_correct_Python_type(numeric_type_funcs,
cec_module_params):
numeric_args = dict(
effective_irradiance=numeric_type_funcs[0](800.0),
temp_cell=numeric_type_funcs[1](25),
)
out = pvsystem.calcparams_desoto(
**numeric_args,
alpha_sc=cec_module_params['alpha_sc'],
a_ref=cec_module_params['a_ref'],
I_L_ref=cec_module_params['I_L_ref'],
I_o_ref=cec_module_params['I_o_ref'],
R_sh_ref=cec_module_params['R_sh_ref'],
R_s=cec_module_params['R_s'],
EgRef=1.121,
dEgdT=-0.0002677
)
assert all(_calcparams_correct_Python_type_check(a, numeric_args.values())
for a in out)
@pytest.mark.parametrize('numeric_type_funcs',
_calcparams_correct_Python_type_numeric_type_cases())
def test_calcparams_cec_returns_correct_Python_type(numeric_type_funcs,
cec_module_params):
numeric_args = dict(
effective_irradiance=numeric_type_funcs[0](800.0),
temp_cell=numeric_type_funcs[1](25),
)
out = pvsystem.calcparams_cec(
**numeric_args,
alpha_sc=cec_module_params['alpha_sc'],
a_ref=cec_module_params['a_ref'],
I_L_ref=cec_module_params['I_L_ref'],
I_o_ref=cec_module_params['I_o_ref'],
R_sh_ref=cec_module_params['R_sh_ref'],
R_s=cec_module_params['R_s'],
Adjust=cec_module_params['Adjust'],
EgRef=1.121,
dEgdT=-0.0002677
)
assert all(_calcparams_correct_Python_type_check(a, numeric_args.values())
for a in out)
@pytest.mark.parametrize('numeric_type_funcs',
_calcparams_correct_Python_type_numeric_type_cases())
def test_calcparams_pvsyst_returns_correct_Python_type(numeric_type_funcs,
pvsyst_module_params):
numeric_args = dict(
effective_irradiance=numeric_type_funcs[0](800.0),
temp_cell=numeric_type_funcs[1](25),
)
out = pvsystem.calcparams_pvsyst(
**numeric_args,
alpha_sc=pvsyst_module_params['alpha_sc'],
gamma_ref=pvsyst_module_params['gamma_ref'],
mu_gamma=pvsyst_module_params['mu_gamma'],
I_L_ref=pvsyst_module_params['I_L_ref'],
I_o_ref=pvsyst_module_params['I_o_ref'],
R_sh_ref=pvsyst_module_params['R_sh_ref'],
R_sh_0=pvsyst_module_params['R_sh_0'],
R_s=pvsyst_module_params['R_s'],
cells_in_series=pvsyst_module_params['cells_in_series'],
EgRef=pvsyst_module_params['EgRef']
)
assert all(_calcparams_correct_Python_type_check(a, numeric_args.values())
for a in out)
def test_calcparams_desoto_all_scalars(cec_module_params):
IL, I0, Rs, Rsh, nNsVth = pvsystem.calcparams_desoto(
effective_irradiance=800.0,
temp_cell=25,
alpha_sc=cec_module_params['alpha_sc'],
a_ref=cec_module_params['a_ref'],
I_L_ref=cec_module_params['I_L_ref'],
I_o_ref=cec_module_params['I_o_ref'],
R_sh_ref=cec_module_params['R_sh_ref'],
R_s=cec_module_params['R_s'],
EgRef=1.121,
dEgdT=-0.0002677
)
assert np.isclose(IL, 6.036, atol=1e-4, rtol=0)
assert np.isclose(I0, 1.94e-9, atol=1e-4, rtol=0)
assert np.isclose(Rs, 0.094, atol=1e-4, rtol=0)
assert np.isclose(Rsh, 19.65, atol=1e-4, rtol=0)
assert np.isclose(nNsVth, 0.473, atol=1e-4, rtol=0)
def test_calcparams_cec_all_scalars(cec_module_params):
IL, I0, Rs, Rsh, nNsVth = pvsystem.calcparams_cec(
effective_irradiance=800.0,
temp_cell=25,
alpha_sc=cec_module_params['alpha_sc'],
a_ref=cec_module_params['a_ref'],
I_L_ref=cec_module_params['I_L_ref'],
I_o_ref=cec_module_params['I_o_ref'],
R_sh_ref=cec_module_params['R_sh_ref'],
R_s=cec_module_params['R_s'],
Adjust=cec_module_params['Adjust'],
EgRef=1.121,
dEgdT=-0.0002677
)
assert np.isclose(IL, 6.036, atol=1e-4, rtol=0)
assert np.isclose(I0, 1.94e-9, atol=1e-4, rtol=0)
assert np.isclose(Rs, 0.094, atol=1e-4, rtol=0)
assert np.isclose(Rsh, 19.65, atol=1e-4, rtol=0)
assert np.isclose(nNsVth, 0.473, atol=1e-4, rtol=0)
def test_calcparams_pvsyst_all_scalars(pvsyst_module_params):
IL, I0, Rs, Rsh, nNsVth = pvsystem.calcparams_pvsyst(
effective_irradiance=800.0,
temp_cell=50,
alpha_sc=pvsyst_module_params['alpha_sc'],
gamma_ref=pvsyst_module_params['gamma_ref'],
mu_gamma=pvsyst_module_params['mu_gamma'],
I_L_ref=pvsyst_module_params['I_L_ref'],
I_o_ref=pvsyst_module_params['I_o_ref'],
R_sh_ref=pvsyst_module_params['R_sh_ref'],
R_sh_0=pvsyst_module_params['R_sh_0'],
R_s=pvsyst_module_params['R_s'],
cells_in_series=pvsyst_module_params['cells_in_series'],
EgRef=pvsyst_module_params['EgRef'])
assert np.isclose(IL, 4.8200, atol=1e-4, rtol=0)
assert np.isclose(I0, 1.47e-7, atol=1e-4, rtol=0)
assert np.isclose(Rs, 0.500, atol=1e-4, rtol=0)
assert np.isclose(Rsh, 305.757, atol=1e-4, rtol=0)
assert np.isclose(nNsVth, 1.7961, atol=1e-4, rtol=0)
def test_calcparams_desoto(cec_module_params):
times = pd.date_range(start='2015-01-01', periods=3, freq='12h')
df = pd.DataFrame({
'effective_irradiance': [0.0, 800.0, 800.0],
'temp_cell': [25, 25, 50]
}, index=times)
IL, I0, Rs, Rsh, nNsVth = pvsystem.calcparams_desoto(
df['effective_irradiance'],
df['temp_cell'],
alpha_sc=cec_module_params['alpha_sc'],
a_ref=cec_module_params['a_ref'],
I_L_ref=cec_module_params['I_L_ref'],
I_o_ref=cec_module_params['I_o_ref'],
R_sh_ref=cec_module_params['R_sh_ref'],
R_s=cec_module_params['R_s'],
EgRef=1.121,
dEgdT=-0.0002677
)
assert_series_equal(IL, pd.Series([0.0, 6.036, 6.096], index=times),
check_less_precise=3)
assert_series_equal(I0, pd.Series([0.0, 1.94e-9, 7.419e-8], index=times),
check_less_precise=3)
assert_series_equal(Rs, pd.Series([0.094, 0.094, 0.094], index=times),
check_less_precise=3)
assert_series_equal(Rsh, pd.Series([np.inf, 19.65, 19.65], index=times),
check_less_precise=3)
assert_series_equal(nNsVth, pd.Series([0.473, 0.473, 0.5127], index=times),
check_less_precise=3)
def test_calcparams_cec(cec_module_params):
times = pd.date_range(start='2015-01-01', periods=3, freq='12h')
df = pd.DataFrame({
'effective_irradiance': [0.0, 800.0, 800.0],
'temp_cell': [25, 25, 50]
}, index=times)
IL, I0, Rs, Rsh, nNsVth = pvsystem.calcparams_cec(
df['effective_irradiance'],
df['temp_cell'],
alpha_sc=cec_module_params['alpha_sc'],
a_ref=cec_module_params['a_ref'],
I_L_ref=cec_module_params['I_L_ref'],
I_o_ref=cec_module_params['I_o_ref'],
R_sh_ref=cec_module_params['R_sh_ref'],
R_s=cec_module_params['R_s'],
Adjust=cec_module_params['Adjust'],
EgRef=1.121,
dEgdT=-0.0002677
)
assert_series_equal(IL, pd.Series([0.0, 6.036, 6.0896], index=times),
check_less_precise=3)
assert_series_equal(I0, pd.Series([0.0, 1.94e-9, 7.419e-8], index=times),
check_less_precise=3)
assert_series_equal(Rs, pd.Series([0.094, 0.094, 0.094], index=times),
check_less_precise=3)
assert_series_equal(Rsh, pd.Series([np.inf, 19.65, 19.65], index=times),
check_less_precise=3)
assert_series_equal(nNsVth, pd.Series([0.473, 0.473, 0.5127], index=times),
check_less_precise=3)
def test_calcparams_cec_extra_params_propagation(cec_module_params, mocker):
"""
See bug #1215.
When calling `calcparams_cec`, the parameters `EgRef`, `dEgdT`, `irrad_ref`
and `temp_ref` must not be ignored.
Since, internally, this function is calling `calcparams_desoto`, this test
checks that the latter is called with the expected parameters instead of
some default values.
"""
times = pd.date_range(start='2015-01-01', periods=3, freq='12h')
effective_irradiance = pd.Series([0.0, 800.0, 800.0], index=times)
temp_cell = pd.Series([25, 25, 50], index=times)
extra_parameters = dict(
EgRef=1.123,
dEgdT=-0.0002688,
irrad_ref=1100,
temp_ref=23,
)
m = mocker.spy(pvsystem, 'calcparams_desoto')
pvsystem.calcparams_cec(
effective_irradiance=effective_irradiance,
temp_cell=temp_cell,
alpha_sc=cec_module_params['alpha_sc'],
a_ref=cec_module_params['a_ref'],
I_L_ref=cec_module_params['I_L_ref'],
I_o_ref=cec_module_params['I_o_ref'],
R_sh_ref=cec_module_params['R_sh_ref'],
R_s=cec_module_params['R_s'],
Adjust=cec_module_params['Adjust'],
**extra_parameters,
)
assert m.call_count == 1
assert m.call_args[1] == extra_parameters
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