.. image:: ../../Logo_FOXES.svg :align: center Welcome to FOXES ================ *Farm Optimization and eXtended yield Evaluation Software* *FOXES* is a modular wind farm and wake modelling code written in Python by Fraunhofer IWES. It has many applications, for example * Wind farm optimization, e.g. layout optimization or wake steering, * Wind farm post-construction analysis, * Wake model studies, comparison and validation, * Wind farm simulations invoking complex model chains. The calculation is fully vectorized and its fast performance is owed to `dask `_. Also the parallelization on local or remote clusters is enabled via `dask`. The wind farm optimization capabilities invoke the `iwopy `_ package which as well supports vectorization. Source code repository (and issue tracker): https://github.com/FraunhoferIWES/foxes Please report code issues under the github link above. License ------- MIT_ .. _MIT: https://github.com/FraunhoferIWES/foxes/blob/main/LICENSE Contents -------- .. toctree:: :maxdepth: 2 citation .. toctree:: :maxdepth: 2 installation .. toctree:: :maxdepth: 2 examples .. toctree:: :maxdepth: 1 api .. toctree:: :maxdepth: 2 notebooks/data .. toctree:: :maxdepth: 1 history Contributing ------------ #. Fork *foxes* on *github*. #. Create a branch (`git checkout -b new_branch`) #. Commit your changes (`git commit -am "your awesome message"`) #. Push to the branch (`git push origin new_branch`) #. Create a pull request `here `_ Acknowledgements ---------------- The development of *foxes* and its predecessors *flapFOAM* and *flappy* (internal - non public) has been supported through multiple publicly funded research projects. We acknowledge in particular the funding by the Federal Ministry of Economic Affairs and Climate Action (BMWK) through the p rojects *Smart Wind Farms* (grant no. 0325851B), *GW-Wakes* (0325397B) and *X-Wakes* (03EE3008A) as well as the funding by the Federal Ministry of Education and Research (BMBF) in the framework of the project *H2Digital* (03SF0635). We furthermore acknowledge funding by the Horizon Europe project FLOW (Atmospheric Flow, Loads and pOwer for Wind energy - grant id 101084205).