Creating time series from wind power plants.
Project description
windpowerlib
The windpowerlib is designed to calculate feedin time series of wind power plants. The windpowerlib is an out-take from the feedinlib (windpower and pv) to build up a community concentrating on wind power models.
Introduction
Having weather data sets you can use the windpowerlib to calculate the electrical output of common wind turbines. Basic parameters for many manufacturers are provided with the library so that you can start directly using one of these parameter sets. Of course you are free to add your own parameter set. For a quick start download the example weather data and basic example file and execute it:
https://github.com/wind-python/windpowerlib/tree/master/example
Documentation
Full documentation can be found at readthedocs. Use the project site of readthedocs to choose the version of the documentation.
Contributing
Clone/Fork: https://github.com/wind-python/windpowerlib
If you are interested in wind models and want to help improve the existing model do not hesitate to contact us. As the windpowerlib started with contributors from the oemof developer group we use the same developer rules.
Installation
Install the windpowerlib using pip3.
pip3 install windpowerlib
So far, the windpowerlib is mainly tested on python 3.4 but seems to work down to 2.7. Please see the installation page of the oemof documentation for complete instructions on how to install python on your operating system.
Optional Packages
To see the plots of the example file you should install the matplotlib package.
Matplotlib can be installed using pip3 but some Linux users reported that it is easier and more stable to use the pre-built packages of your Linux distribution.
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