Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 7
Articles | Volume 11, issue 7
https://doi.org/10.5194/wes-11-2723-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-2723-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 7
Research article
 | 
30 Jul 2026
Research article |  | 30 Jul 2026

Slow wake recovery and low turbulence behind wind farms parameterized in mesoscale simulations

William C. Radünz, Jens H. Kasper, Richard J. A. M. Stevens, and Julie K. Lundquist

Viewed

Total article views: 1,513 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
934 523 56 1,513 57 80
  • HTML: 934
  • PDF: 523
  • XML: 56
  • Total: 1,513
  • BibTeX: 57
  • EndNote: 80
Views and downloads (calculated since 08 Sep 2025)
Cumulative views and downloads (calculated since 08 Sep 2025)

Viewed (geographical distribution)

Total article views: 1,513 (including HTML, PDF, and XML) Thereof 1,485 with geography defined and 28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jul 2026
Download
Short summary
Wind farms extract energy from the wind, creating slower, more turbulent flows that can affect other farms downstream. Using high-fidelity simulations for comparison, we find that mesoscale simulations that parameterize wind farms at coarser resolution may underestimate how quickly the wind recovers downstream. This slow recovery results from missing sharp wind gradients and low turbulence. Improving these aspects can help better predict wind energy production over long distances.
Read more
Share
Altmetrics
Final-revised paper
Preprint