Annual wake impacts in and between wind farm clusters – Part 1: WRF-simulated wake losses for different atmospheric conditions

Porchetta, Sara; Munters, Wim; Lejeune, Maxime; Borgers, Ruben; Buckingham, Sophia; Howland, Michael F.

doi:10.5194/wes-11-3273-2026

Articles | Volume 11, issue 9

https://doi.org/10.5194/wes-11-3273-2026

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

https://doi.org/10.5194/wes-11-3273-2026

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

Articles | Volume 11, issue 9

Research article

|

07 Sep 2026

Research article |

| 07 Sep 2026

Annual wake impacts in and between wind farm clusters – Part 1: WRF-simulated wake losses for different atmospheric conditions

Sara Porchetta, Wim Munters, Maxime Lejeune, Ruben Borgers, Sophia Buckingham, and Michael F. Howland

Data sets

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

KNMI data platform, Koninklijk Nederlands Meteorologisch Instituut https://dataplatform.knmi.nl/group/wind

Data of the Flemish Banks Monitoring Network Meetnet Vlaamse Banken https://meetnetvlaamsebanken.be/Download/Welcome

Short summary

This study examines how a newly built offshore wind farm affects the power production of nearby existing wind farms. Using a full year of simulations, we compare detailed weather-based models with faster simplified models. The results show clear differences in predicted power losses, especially during calm summer conditions, highlighting the importance of model choice for future offshore wind farm planning and design.