Articles | Volume 9, issue 3
https://doi.org/10.5194/wes-9-697-2024
https://doi.org/10.5194/wes-9-697-2024
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

Viewed

Total article views: 1,772 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,349 388 35 1,772 71 26 21
  • HTML: 1,349
  • PDF: 388
  • XML: 35
  • Total: 1,772
  • Supplement: 71
  • BibTeX: 26
  • EndNote: 21
Views and downloads (calculated since 06 Apr 2023)
Cumulative views and downloads (calculated since 06 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,772 (including HTML, PDF, and XML) Thereof 1,711 with geography defined and 61 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 11 May 2024
Download
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.
Altmetrics
Final-revised paper
Preprint