def test_klucher_series():
result = irradiance.klucher(40, 180, irrad_data['dhi'], irrad_data['ghi'],
ephem_data['apparent_zenith'],
ephem_data['azimuth'])
assert_allclose(result, [0, 37.446276, 109.209347, 56.965916], atol=1e-4)
# expect same result for np.array and pd.Series
expected = irradiance.klucher(40, 180, irrad_data['dhi'].values,
irrad_data['ghi'].values,
ephem_data['apparent_zenith'].values,
ephem_data['azimuth'].values)
assert_allclose(result, expected, atol=1e-4)
def test_klucher_series_float():
# klucher inputs
surface_tilt, surface_azimuth = 40.0, 180.0
dhi, ghi = 100.0, 900.0
solar_zenith, solar_azimuth = 20.0, 180.0
# expect same result for floats and pd.Series
expected = irradiance.klucher(
surface_tilt, surface_azimuth, pd.Series(dhi), pd.Series(ghi),
pd.Series(solar_zenith), pd.Series(solar_azimuth)) # 94.99429931664851
result = irradiance.klucher(surface_tilt, surface_azimuth, dhi, ghi,
solar_zenith, solar_azimuth)
assert_allclose(result, expected[0])
def test_klucher_series(irrad_data, ephem_data):
result = irradiance.klucher(40, 180, irrad_data['dhi'], irrad_data['ghi'],
ephem_data['apparent_zenith'],
ephem_data['azimuth'])
# pvlib matlab 1.4 does not contain the max(cos_tt, 0) correction
# so, these values are different
assert_allclose(result, [0., 36.789794, 109.209347, 56.965916], atol=1e-4)
# expect same result for np.array and pd.Series
expected = irradiance.klucher(
40, 180, irrad_data['dhi'].values, irrad_data['ghi'].values,
ephem_data['apparent_zenith'].values, ephem_data['azimuth'].values
)
assert_allclose(result, expected, atol=1e-4)
def test_klucher_series(irrad_data, ephem_data):
result = irradiance.klucher(40, 180, irrad_data['dhi'], irrad_data['ghi'],
ephem_data['apparent_zenith'],
ephem_data['azimuth'])
# pvlib matlab 1.4 does not contain the max(cos_tt, 0) correction
# so, these values are different
assert_allclose(result, [0., 36.789794, 109.209347, 56.965916], atol=1e-4)
# expect same result for np.array and pd.Series
expected = irradiance.klucher(40, 180, irrad_data['dhi'].values,
irrad_data['ghi'].values,
ephem_data['apparent_zenith'].values,
ephem_data['azimuth'].values)
assert_allclose(result, expected, atol=1e-4)
def test_klucher_series_float():
# klucher inputs
surface_tilt, surface_azimuth = 40.0, 180.0
dhi, ghi = 100.0, 900.0
solar_zenith, solar_azimuth = 20.0, 180.0
# expect same result for floats and pd.Series
expected = irradiance.klucher(
surface_tilt, surface_azimuth,
pd.Series(dhi), pd.Series(ghi),
pd.Series(solar_zenith), pd.Series(solar_azimuth)
) # 94.99429931664851
result = irradiance.klucher(
surface_tilt, surface_azimuth, dhi, ghi, solar_zenith, solar_azimuth
)
assert_allclose(result, expected[0])
def test_klucher_series():
result = irradiance.klucher(40, 180, irrad_data['dhi'], irrad_data['ghi'],
ephem_data['apparent_zenith'],
ephem_data['azimuth'])
assert_allclose(result, [0, 37.446276, 109.209347, 56.965916], atol=1e-4)
def test_klucher_series_float():
result = irradiance.klucher(40, 180, 100, 900, 20, 180)
assert_allclose(result, 88.3022221559)
def test_klucher_series():
irradiance.klucher(40, 180, irrad_data['DHI'], irrad_data['GHI'],
ephem_data['apparent_zenith'],
ephem_data['apparent_azimuth'])
def test_klucher_series_float():
irradiance.klucher(40, 180, 100, 900, 20, 180)
def test_klucher_series():
irradiance.klucher(40, 180, irrad_data['dhi'], irrad_data['ghi'],
ephem_data['apparent_zenith'],
ephem_data['apparent_azimuth'])
def test_klucher_series_float():
irradiance.klucher(40, 180, 100, 900, 20, 180)
def test_klucher_series():
result = irradiance.klucher(40, 180, irrad_data['dhi'], irrad_data['ghi'],
ephem_data['apparent_zenith'],
ephem_data['azimuth'])
assert_allclose(result, [0, 37.446276, 109.209347, 56.965916], atol=1e-4)
def test_klucher_series_float():
result = irradiance.klucher(40, 180, 100, 900, 20, 180)
assert_allclose(result, 88.3022221559)
freq='h')
# Compute the sun position at each hour of the year:
ephem_data = solarposition.get_solarposition(times,
latitude=latitude,
longitude=longitude,
method='nrel_numpy')
# Compute the diffuse irradiance on the panel, reflected from the ground:
S_d_reflect = irradiance.grounddiffuse(surface_tilt,
I_hor,
albedo=0.25,
surface_type=None)
# Compute the diffuse irradiance on the panel, from the sky:
S_d_sky = irradiance.klucher(surface_tilt, surface_azimuth, I_d_hor, I_hor,
ephem_data['zenith'], ephem_data['azimuth'])
# Compute the angles between the panel and the sun:
aoi = irradiance.aoi(surface_tilt, surface_azimuth, ephem_data['zenith'],
ephem_data['azimuth'])
# Compute the global irradiance on the panel:
S = irradiance.globalinplane(aoi, DNI, S_d_sky, S_d_reflect)
# Second case: with tracking (axis is supposed to be north-south):
S_track = tracking.singleaxis(ephem_data['apparent_zenith'],
ephem_data['azimuth'],
axis_tilt=0,
axis_azimuth=0,
max_angle=360,
