pvcompare.perosi.perosi.create_pero_si_timeseries¶
- pvcompare.perosi.perosi.create_pero_si_timeseries(year, lat, lon, surface_azimuth, surface_tilt, number_hours, atmos_data=None, psi_type='Chen')[source]¶
Creates a time series for the output power of a pero-si module.
Wrapper for create_timeseries() function.
- Parameters
year (int) – year of interest
lat (str) – latitude
lon (int) – longitude
number_hours (int) – number of hours until simulation stops. For one year enter 8760.
surface_azimuth (int) – surface azimuth
surface_tilt (int) – surface tilt
atmos_data (:pd.Dataframe()) – weather data with datetimeindex and columns for ‘temp_air’ and ‘wind_speed’ and ‘ghi’. If None weather data is loaded from era5 weather data set.
psi_type (str) – Type of pero_si cell. Either “Chen” or “Korte”
- Returns
time series of the output power
- Return type