Validating wind farm parameterizations with offshore SCADA data

Sengers, Balthazar Arnoldus Maria; Vollmer, Lukas; Dörenkämper, Martin

doi:10.5194/wes-11-4179-2026

Articles | Volume 11, issue 11

https://doi.org/10.5194/wes-11-4179-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-11-4179-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 11

Research article

|

11 Nov 2026

Research article |

| 11 Nov 2026

Validating wind farm parameterizations with offshore SCADA data

Balthazar Arnoldus Maria Sengers, Lukas Vollmer, and Martin Dörenkämper

Model code and software

Assessment of five wind-farm parameterizations in the Weather Research and Forecasting model K. Ali et al. https://doi.org/10.48420/21262299

First release of Axial Induction Factor correction of WRF Fitch in v4.2.1 B. Sengers et al. https://doi.org/10.5281/zenodo.12608856

Weather Research and Forecasting (WRF) Model National Center for Atmospheric Research (NCAR) https://github.com/wrf-model/WRF

Short summary

This work compared parameterizations used in mesoscale models to estimate wind energy production against operational data from several offshore sites. Results showed differences of about 5%, with higher resolution reducing generated power due to stronger wakes. One approach best reproduced key aspects of wind farm performance. Overall, results underline known limitations but confirm that these models are useful for estimating wind farm performance.