Windpowerlib

The first single zero release equips the windpowerlib with a large amount of new functionalities. A major change is the modelling of wind farms where wake losses can be taken into account by a wind farm efficiency or by reducing wind speeds. Moreover, the option of modelling wind turbine clusters, including aggregated power curves, is useful for combined modelling of all wind turbines in a weather data grid cell. Furthermore, the spatial distribution of wind speeds can be considered by using the new power curve smoothing functionality. Apart from that, the windpowerlib is now connected to the OpenEnergy Database which provides it with power (coefficient) curves.

ATTENTION:
From v0.1.0 on power (coefficient) curves are provided by the OpenEnergy Database (oedb) instead of in csv files (v0.6.0 and lower) due to legal reasons. Use get_turbine_types() to check whether the turbine types you need are included in the database. If your turbine type is not included you can either use your own csv file or open an issue.

After the last release there were a couple of things not quite consistent. This release fixes this and we promise that from now on the windpowerlib will be more stable. On top of that we included a jupyter notebook and a basic usage section to help making the getting started with the windpowerlib easier.

Since the windpowerlib has been moved out of the feedinlib we were planning to make it more generic to enable further development and new features. Along with this we added test functions and worked on the documentation. This release is the outcome of all this. Enjoy!

Due to some technical problems of an external server, the external data has been moved to the windpowerlib in order to be independent of external sources.

This new version allows you to install the windpowerlib with python versions >3.4.

The windpowerlib is created from the wind part of the feedinlib with the aim to create a community concentrating on wind models without pv or weather stuff. In future versions the feedinlib will link to the windpowerlib and remove its own wind model.