.. 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).