foxes-opt 0.7.1

Wind farm optimization for the FOXES package

foxes-opt

The package foxes-opt provides optimization functionality for the Farm Optimization and eXtended yield Evaluation Software foxes and is based on the optimization interface iwopy.

All three open-source Python packages foxes, foxes-opt and iwopy are provided and maintained by Fraunhofer IWES.

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.

foxes is build upon many years of experience with wake model code development at IWES, starting with the C++ based in-house code flapFOAM (2011-2019) and the Python based direct predecessor flappy (2019-2022).

Documentation: https://fraunhoferiwes.github.io/foxes-opt/

Source code: https://github.com/FraunhoferIWES/foxes-opt

PyPi reference: https://pypi.org/project/foxes-opt/

Anaconda reference: https://anaconda.org/conda-forge/foxes-opt

Installation

There are multiple ways to install foxes-opt.

Installation as standard user

pip install foxes[opt]

or

pip install foxes-opt

or

conda install foxes-opt -c conda-forge

Installation as developer

As a developer, first clone both repositories, and then install via pip using the -e flag:

git clone https://github.com/FraunhoferIWES/foxes.git
pip install -e foxes

git clone https://github.com/FraunhoferIWES/foxes-opt.git
pip install -e foxes-opt

If you want to contribute your developments, please replace the above repository locations by your personal forks.

Citation

Please cite the JOSS paper FOXES: Farm Optimization and eXtended yield Evaluation Software.

Bibtex:

@article{
    Schmidt2023,
    author = {Jonas Schmidt and Lukas Vollmer and Martin Dörenkämper and Bernhard Stoevesandt},
    title = {FOXES: Farm Optimization and eXtended yield Evaluation Software},
    doi = {10.21105/joss.05464},
    url = {https://doi.org/10.21105/joss.05464},
    year = {2023},
    publisher = {The Open Journal},
    volume = {8},
    number = {86},
    pages = {5464},
    journal = {Journal of Open Source Software}
}