pvcompare.pv_feedin.create_cpv_time_series¶
- pvcompare.pv_feedin.create_cpv_time_series(lat, lon, weather, surface_azimuth, surface_tilt, normalization)[source]¶
Creates power time series of a hybrid CPV module.
The CPV time series is created for a given weather data frame weather for the INSOLIGHT CPV module. If normalization is True the time series is normalized.
- Parameters
lat (float) – Latitude of the location for which the time series is calculated.
lon (float) – Longitude of the location for which the time series is calculated.
weather (pandas.DataFrame) – DataFrame with time series for temperature temp_air in C°, wind speed ‘wind_speed’ in m/s, ‘dni’, ‘dhi’, and ‘ghi’ in W/m².
surface_azimuth (float) – Surface azimuth of the modules (180° for south, 270° for west, etc.).
surface_tilt (float) – Surface tilt of the modules (horizontal=90° and vertical=0°).
normalization (bool) – If True: Time series is normalized. Otherwise absolute time series is returned.
- Returns
Power output time series of CPV module in W.
- Return type