Mesoscale modelling of North Sea wind  resources with COSMO-CLM: model evaluation  and impact assessment of future wind farm  characteristics on cluster-scale wake losses

Borgers, Ruben; Dirksen, Marieke; Wijnant, Ine L.; Stepek, Andrew; Stoffelen, Ad; Akhtar, Naveed; Neirynck, Jérôme; Van de Walle, Jonas; Meyers, Johan; van Lipzig, Nicole P. M.

doi:https://doi.org/10.5194/wes-9-697-2024

Articles | Volume 9, issue 3

https://doi.org/10.5194/wes-9-697-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-9-697-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 3

Research article

|

20 Mar 2024

Research article |

| 20 Mar 2024

Mesoscale modelling of North Sea wind resources with COSMO-CLM: model evaluation and impact assessment of future wind farm characteristics on cluster-scale wake losses

Ruben Borgers, Marieke Dirksen, Ine L. Wijnant, Andrew Stepek, Ad Stoffelen, Naveed Akhtar, Jérôme Neirynck, Jonas Van de Walle, Johan Meyers, and Nicole P. M. van Lipzig

Supplement

https://doi.org/10.5194/wes-9-697-2024-supplement

Data sets

Mesoscale modelling of North Sea wind resources with COSMO-CLM: model evaluation and impact assessment of future wind farm characteristics on cluster-scale wake losses Ruben Borgers https://doi.org/10.5281/zenodo.8348700

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

Global Ocean Daily Gridded Reprocessed L3 Sea Surface Winds from Scatterometer Copernicus Marine Service https://doi.org/10.48670/moi-00183

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Short summary

Wind farms at sea are becoming more densely clustered, which means that next to individual wind turbines interfering with each other in a single wind farm also interference between wind farms becomes important. Using a climate model, this study shows that the efficiency of wind farm clusters and the interference between the wind farms in the cluster depend strongly on the properties of the individual wind farms and are also highly sensitive to the spacing between the wind farms.