pyfuga 0.3.0

PyFuga is the Python implementation of the Fuga look-up table (LUT) generator for wind turbine wakes, previously computed in FORTRAN and with the Windows Fuga GUI.

PyFuga is part of the PyWake ecosystem and provides the LUTs required to run PyWake's Fuga wake deficit model.

Installation

Install via pip:

pip install pyfuga

or from conda-forge with conda:

conda install conda-forge:pyfuga

or Pixi:

pixi add pyfuga

A minimal example to get you started is available in the QuickStart Jupyter notebook.

Documentation

Learn more about PyFuga at the official documentation.

Release history

See CHANGELOG.md for release notes and version history.

Contributing

Read more at CONTRIBUTING.md.

Support

Issues and feature requests can be submitted through the project's GitLab issue tracker.

Citing PyFuga

Please cite both the underlying Fuga theory and the PyFuga software implementation.

For PyFuga itself, use the DOI on the Zenodo record for the release version you used (this is the canonical source of truth). The repository CITATION.cff mirrors this metadata for convenience.

The badge above points to the latest release DOI. For scientific citation, always use the DOI for the exact release version used in your work.

If you have PyFuga installed, you can print a Zenodo search link for your installed version:

python scripts/citation.py

See the "Citing PyFuga" section in the documentation for recommended references and BibTeX entries.

Authors and acknowledgements

PyFuga is developed at DTU Wind and Energy Systems and builds on the Fuga model described in the technical report by Søren Ott, Mads Mølgaard Pedersen, Gunnar Chr. Larsen, Leonardo Alcayaga, Nils Gaukroger, Elvira Jarmbæk Jacobsen, and colleagues.

The PyFuga project would like to acknowledge Equinor ASA for their support of the project over many years.

Licence

This project is released under the terms of the licence in the LICENSE file.

Project status

Active development as part of the PyWake suite. PyFuga continues to evolve alongside ongoing improvements to the Fuga model and its numerical implementation.