Windpowerlib

Open-Source Model for Generating Wind Power Feed-In Time Series

What does Windpowerlib help with?

The tool Windpowerlib assists in generating feed-in time series for individual wind turbines and wind farms based on weather data, which is essential for energy system modeling.

Who is the tool suitable for?

Windpowerlib is primarily designed for energy system modelers who need to generate wind power feed-in time series for their models.

How does Windpowerlib work?

The tool creates feed-in time series based on weather data and the technical parameters of the wind turbines being considered. It provides an interface to a database containing technical parameters of numerous common wind turbines. Additionally, it includes various models that allow for height corrections of wind speeds or account for shading losses in wind farms.

What are some examples of its use?

The tool was developed for the “open_FRED: open feed-in time series based on a Renewable Energy Database” project and has been used to create feed-in time series for fluctuating renewable energies.

As part of the open_FRED project, Windpowerlib was utilized in the publication “Implementation and validation of an open source model for generating wind feed-in time series (Haas, 2019)”.

How can the tool be used?
The program code is written in Python and is fully available on GitHub under the MIT Open-Source License.