Welcome to FOXES Optimization¶

Added in version 0.9.1: Restart selected layout stages from persisted snapshots while continuing layout and optimization-history output numbering.

Changed in version 0.9.1: Compatibility with foxes version 1.9.8 and iwopy version 1.0.0.

Overview¶

FOXES Optimization is a modular Python package for wind-farm optimization by Fraunhofer IWES. Typical applications include:

Wind-farm layout optimization,
Wake steering through turbine yaw optimization,
Constrained optimization of turbine positions and farm geometries,
Multi-stage layout optimization pipelines.

FOXES Optimization combines wind-farm and wake modelling from FOXES with the shared optimizer interface provided by iwopy. It supports vectorized population evaluation and uses FOXES execution engines for local or distributed calculations.

Resource	Link
Documentation	https://fraunhoferiwes.github.io/foxes-opt
Source code	https://github.com/FraunhoferIWES/foxes-opt
PyPI	https://pypi.org/project/foxes-opt/
conda-forge	https://anaconda.org/conda-forge/foxes-opt
License	MIT

Requires Python 3.10 through 3.14.

Please report issues in the issue tracker.

Contents¶

Citation

Installation

Installation as standard user

Installation as developer

Input parameter files

foxes_opt_yaml

Examples

Layout optimization

Wake steering

API

Testing

Changelog

Contributing¶

Fork foxes-opt 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¶

Development of FOXES Optimization was supported by:

BMWK projects Smart Wind Farms (0325851B), GW-Wakes (0325397B), and X-Wakes (03EE3008A)
BMBF project H2Digital (03SF0635)
Horizon Europe projects FLOW (101084205) and AIRE (101083716)