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.
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.
the Creative Commons Attribution 4.0 License.
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
Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
Marieke Dirksen
Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Ine L. Wijnant
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Andrew Stepek
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Ad Stoffelen
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Naveed Akhtar
Institute of Coastal Systems – Analysis and Modeling, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Jérôme Neirynck
Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
Jonas Van de Walle
Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
Johan Meyers
Department of Mechanical Engineering, KU Leuven, Leuven, Belgium
Nicole P. M. van Lipzig
Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
Viewed
Total article views: 3,191 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Apr 2023)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
2,379 | 749 | 63 | 3,191 | 166 | 80 | 94 |
- HTML: 2,379
- PDF: 749
- XML: 63
- Total: 3,191
- Supplement: 166
- BibTeX: 80
- EndNote: 94
Total article views: 1,711 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Mar 2024)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,368 | 303 | 40 | 1,711 | 85 | 61 | 78 |
- HTML: 1,368
- PDF: 303
- XML: 40
- Total: 1,711
- Supplement: 85
- BibTeX: 61
- EndNote: 78
Total article views: 1,480 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Apr 2023)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,011 | 446 | 23 | 1,480 | 81 | 19 | 16 |
- HTML: 1,011
- PDF: 446
- XML: 23
- Total: 1,480
- Supplement: 81
- BibTeX: 19
- EndNote: 16
Viewed (geographical distribution)
Total article views: 3,191 (including HTML, PDF, and XML)
Thereof 3,101 with geography defined
and 90 with unknown origin.
Total article views: 1,711 (including HTML, PDF, and XML)
Thereof 1,658 with geography defined
and 53 with unknown origin.
Total article views: 1,480 (including HTML, PDF, and XML)
Thereof 1,443 with geography defined
and 37 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
9 citations as recorded by crossref.
- Energy production and inter-farm wake losses in future North Sea wind farms R. Borgers et al. 10.1088/1748-9326/add8a2
- A Meso-Microscale Coupled Wind Farm Parameterization B. Du et al. 10.1007/s10546-025-00928-7
- The impact of future UK offshore wind farm distribution and climate change on generation performance and variability J. Giddings et al. 10.1088/1748-9326/ad489b
- Offshore wind-to-green hydrogen: a comprehensive review on current challenges, techno-economic analyses, environmental implications, and potential risks M. Mudhafar et al. 10.1016/j.psep.2025.107631
- Wind-farm wake recovery mechanisms in conventionally neutral boundary layers L. Lanzilao & J. Meyers 10.1017/jfm.2025.10320
- System impacts of wind energy developments: Key research challenges and opportunities R. McKenna et al. 10.1016/j.joule.2024.11.016
- Towards a regional wind farm planning approach: The Wakeness Index N. Alonso-De-Linaje et al. 10.1088/1742-6596/3016/1/012050
- 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 R. Borgers et al. 10.5194/wes-9-697-2024
- Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany's exclusive economic zone of the North Sea T. Spangehl et al. 10.5194/asr-20-109-2023
7 citations as recorded by crossref.
- Energy production and inter-farm wake losses in future North Sea wind farms R. Borgers et al. 10.1088/1748-9326/add8a2
- A Meso-Microscale Coupled Wind Farm Parameterization B. Du et al. 10.1007/s10546-025-00928-7
- The impact of future UK offshore wind farm distribution and climate change on generation performance and variability J. Giddings et al. 10.1088/1748-9326/ad489b
- Offshore wind-to-green hydrogen: a comprehensive review on current challenges, techno-economic analyses, environmental implications, and potential risks M. Mudhafar et al. 10.1016/j.psep.2025.107631
- Wind-farm wake recovery mechanisms in conventionally neutral boundary layers L. Lanzilao & J. Meyers 10.1017/jfm.2025.10320
- System impacts of wind energy developments: Key research challenges and opportunities R. McKenna et al. 10.1016/j.joule.2024.11.016
- Towards a regional wind farm planning approach: The Wakeness Index N. Alonso-De-Linaje et al. 10.1088/1742-6596/3016/1/012050
2 citations as recorded by crossref.
- 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 R. Borgers et al. 10.5194/wes-9-697-2024
- Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany's exclusive economic zone of the North Sea T. Spangehl et al. 10.5194/asr-20-109-2023
Latest update: 22 Aug 2025
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.
Wind farms at sea are becoming more densely clustered, which means that next to individual wind...
Altmetrics
Final-revised paper
Preprint