pvcompare.pv_feedin.create_si_time_series¶
- pvcompare.pv_feedin.create_si_time_series(lat, lon, weather, surface_azimuth, surface_tilt, normalization, add_sam_si_module=None)[source]¶
Calculates feed-in time series for a silicon PV module.
The si time series is created for a given weather data frame at a given orientation for the flat plate module ‘Aleo_Solar_S59y280’. If normalization is True the time series is normalized.
- Parameters
lat (float) – Latitude of the location.
lon (float) – Longitude of the location.
weather (pandas.DataFrame) –
surface_azimuth (float) – Surface azimuth of the modules.
surface_tilt (float) – Surface tilt of the modules.
normalization (bool) – If True: Time series is normalized. Otherwise absolute time series is returned.
add_sam_si_module (dict) – Dictionary with library (“CECMod” or “SandiaMod”) as key and module name as value. E.g. {“cecmod”: “Canadian_Solar_Inc__CS5P_220M”}.
- Returns
Feed-in time series of silicon module.
- Return type