def test_run_model_from_effective_irradiance(sapm_dc_snl_ac_system, location,
weather, total_irrad):
data = weather.copy()
data[['poa_global', 'poa_diffuse', 'poa_direct']] = total_irrad
data['effective_irradiance'] = data['poa_global']
mc = ModelChain(sapm_dc_snl_ac_system, location, aoi_model='no_loss',
spectral_model='no_loss')
ac = mc.run_model_from_effective_irradiance(data).ac
expected = pd.Series(np.array([149.280238, 96.678385]),
index=data.index)
assert_series_equal(ac, expected)
def PVlibwrapper(PV_instance, tmy, return_model_object=False):
PV = PV_instance
tmy.site = Location(tmy.lat, tmy.lon)
cec_inverters = pvlib.pvsystem.retrieve_sam("cecinverter")
cec_modules = pvlib.pvsystem.retrieve_sam("CECMod")
# default: Jinko Solar Co Ltd JKM350M 72 V
module = cec_modules[PV.module]
# default: Huawei Technologies Co Ltd SUN2000 100KTL USH0 800V
cec_inverter = cec_inverters[PV.inverter]
temperature_model_parameters = TEMPERATURE_MODEL_PARAMETERS["sapm"][
"open_rack_glass_glass"]
if PV.tracking:
system = SingleAxisTracker(
axis_tilt=0,
axis_azimuth=PV.azimuth,
module_parameters=module,
inverter_parameters=cec_inverter,
temperature_model_parameters=temperature_model_parameters,
strings_per_inverter=PV.strings_per_inverter,
modules_per_string=PV.modules_per_string,
)
losses_model = "no_loss"
else:
system = PVSystem(
surface_tilt=PV.tilt,
surface_azimuth=PV.azimuth,
module_parameters=module,
inverter_parameters=cec_inverter,
temperature_model_parameters=temperature_model_parameters,
strings_per_inverter=PV.strings_per_inverter,
modules_per_string=PV.modules_per_string,
)
losses_model = "pvwatts"
total_module_power = PV.strings_per_inverter * PV.modules_per_string * module[
"STC"]
mc = ModelChain(
system,
tmy.site,
aoi_model="ashrae",
spectral_model="no_loss",
losses_model=losses_model,
transposition_model="perez",
)
if hasattr(PV, "bifacial_irradiance"):
mc.run_model_from_effective_irradiance(PV.bifacial_irradiance)
print()
print()
print(f"{PV.name} triggered run_from")
print()
print()
else:
mc.run_model(PVlibweather(tmy))
print()
print()
print(f"{PV.name} triggered run_model")
print()
print()
normalized_power = mc.ac / total_module_power
scaled_power = normalized_power * PV.installed
# reset index
scaled_power.index = PV.state.index
if return_model_object:
return mc, scaled_power
else:
return scaled_power
