def test_vf_matrix_subset_calculation(params):
"""Check that the vf matrix subset is calculated correctly"""
# Run in fast mode
irradiance_model = HybridPerezOrdered()
fast_mode_pvrow_index = 1
eng = PVEngine(params,
irradiance_model=irradiance_model,
fast_mode_pvrow_index=fast_mode_pvrow_index)
timestamps = dt.datetime(2019, 6, 11, 11)
DNI = 1000.
DHI = 100.
eng.fit(timestamps, DNI, DHI, params['solar_zenith'],
params['solar_azimuth'], params['surface_tilt'],
params['surface_azimuth'], params['rho_ground'])
pvarray_fast = eng.run_timestep(0)
vf_mat_fast = pvarray_fast.vf_matrix
# Run in full mode
irradiance_model = HybridPerezOrdered()
eng = PVEngine(params, irradiance_model=irradiance_model)
timestamps = dt.datetime(2019, 6, 11, 11)
DNI = 1000.
DHI = 100.
eng.fit(timestamps, DNI, DHI, params['solar_zenith'],
params['solar_azimuth'], params['surface_tilt'],
params['surface_azimuth'], params['rho_ground'])
pvarray_full = eng.run_timestep(0)
vf_mat_full = pvarray_full.vf_matrix
index_of_back_side_surface = 13
np.testing.assert_array_almost_equal(
vf_mat_fast, vf_mat_full[[index_of_back_side_surface], :])
def test_pvengine_float_inputs_perez(params):
"""Test that PV engine works for float inputs"""
irradiance_model = HybridPerezOrdered()
eng = PVEngine(params, irradiance_model=irradiance_model)
# Irradiance inputs
timestamps = dt.datetime(2019, 6, 11, 11)
DNI = 1000.
DHI = 100.
# Fit engine
eng.fit(timestamps, DNI, DHI, params['solar_zenith'],
params['solar_azimuth'], params['surface_tilt'],
params['surface_azimuth'], params['rho_ground'])
# Checks
np.testing.assert_almost_equal(eng.irradiance.direct['front_pvrow'], DNI)
# Run timestep
pvarray = eng.run_timestep(0)
# Checks
assert isinstance(pvarray, OrderedPVArray)
np.testing.assert_almost_equal(
pvarray.pvrows[0].front.get_param_weighted('qinc'), 1110.1164773159298)
np.testing.assert_almost_equal(
pvarray.pvrows[1].front.get_param_weighted('qinc'), 1110.595903991)
np.testing.assert_almost_equal(
pvarray.pvrows[2].front.get_param_weighted('qinc'), 1112.37717553)
np.testing.assert_almost_equal(
pvarray.pvrows[1].back.get_param_weighted('qinc'), 116.49050349491208)
def test_pvengine_float_inputs_iso(params):
"""Test that PV engine works for float inputs"""
irradiance_model = IsotropicOrdered()
eng = PVEngine(params, irradiance_model=irradiance_model)
# Irradiance inputs
timestamps = dt.datetime(2019, 6, 11, 11)
DNI = 1000.
DHI = 100.
# Fit engine
eng.fit(timestamps, DNI, DHI, params['solar_zenith'],
params['solar_azimuth'], params['surface_tilt'],
params['surface_azimuth'], params['rho_ground'])
# Checks
np.testing.assert_almost_equal(eng.irradiance.direct['front_pvrow'], DNI)
# Run timestep
pvarray = eng.run_timestep(0)
# Checks
assert isinstance(pvarray, OrderedPVArray)
np.testing.assert_almost_equal(
pvarray.pvrows[0].front.get_param_weighted('qinc'), 1099.22245374)
np.testing.assert_almost_equal(
pvarray.pvrows[1].front.get_param_weighted('qinc'), 1099.6948573)
np.testing.assert_almost_equal(
pvarray.pvrows[2].front.get_param_weighted('qinc'), 1102.76149246)
def test_fast_pvengine_float_inputs_perez(params):
"""Test that PV engine works for float inputs"""
# Prepare some engine inputs
irradiance_model = HybridPerezOrdered()
fast_mode_pvrow_index = 1
# Create engine object
eng = PVEngine(params,
irradiance_model=irradiance_model,
fast_mode_pvrow_index=fast_mode_pvrow_index)
# Irradiance inputs
timestamps = dt.datetime(2019, 6, 11, 11)
DNI = 1000.
DHI = 100.
# Fit engine
eng.fit(timestamps, DNI, DHI, params['solar_zenith'],
params['solar_azimuth'], params['surface_tilt'],
params['surface_azimuth'], params['rho_ground'])
# Checks
np.testing.assert_almost_equal(eng.irradiance.direct['front_pvrow'], DNI)
# Run timestep
pvarray = eng.run_timestep(0)
# Checks
assert isinstance(pvarray, OrderedPVArray)
np.testing.assert_almost_equal(
pvarray.pvrows[1].back.get_param_weighted('qinc'), 123.7087347744459)
