API
Power plant classes
Power plant classes for specific weather dependent renewable energy resources.
feedinlib.powerplants.Photovoltaic([model]) |
Class to define a standard set of PV system attributes. |
feedinlib.powerplants.WindPowerPlant([model]) |
Class to define a standard set of wind power plant attributes. |
Feed-in models
Feed-in models take in power plant and weather data to calculate power plant feed-in.
So far models using the python libraries pvlib and windpowerlib to calculate photovoltaic and
wind power feed-in, respectively, have been implemented.
feedinlib.models.Pvlib(**kwargs) |
Model to determine the feed-in of a photovoltaic module using the pvlib. |
feedinlib.models.WindpowerlibTurbine(**kwargs) |
Model to determine the feed-in of a wind turbine using the windpowerlib. |
feedinlib.models.WindpowerlibTurbineCluster(…) |
Model to determine the feed-in of a wind turbine cluster using the windpowerlib. |
Weather data
The feedinlib enables download of open_FRED weather data (local reanalysis data for Germany)
and ERA5 weather data (global reanalysis data for the whole world).
feedinlib.open_FRED.Weather |
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feedinlib.era5.weather_df_from_era5(…[, …]) |
Gets ERA5 weather data from netcdf file and converts it to a pandas dataframe as required by the spcified lib. |
feedinlib.era5.get_era5_data_from_datespan_and_position(…) |
Download a netCDF file from the era5 weather data server for you position and time range. |
Abstract classes
The feedinlib uses abstract classes for power plant and feed-in models that serve as blueprints
for classes that implement those models. This ensures that new models provide required
implementations that make it possible to easily exchange the model used in your calculation.
They are important for people who want to implement new power plant and model classes
rather than for users.
feedinlib.powerplants.Base(**attributes) |
The base class of feedinlib power plants. |
feedinlib.models.Base |
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feedinlib.models.PhotovoltaicModelBase |
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feedinlib.models.WindpowerModelBase |
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