Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-783-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-783-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
Research article
 | 
04 Apr 2022
Research article |  | 04 Apr 2022

RANS modeling of a single wind turbine wake in the unstable surface layer

Mads Baungaard, Maarten Paul van der Laan, and Mark Kelly

Viewed

Total article views: 3,088 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,295 715 78 3,088 103 119
  • HTML: 2,295
  • PDF: 715
  • XML: 78
  • Total: 3,088
  • BibTeX: 103
  • EndNote: 119
Views and downloads (calculated since 01 Oct 2021)
Cumulative views and downloads (calculated since 01 Oct 2021)

Viewed (geographical distribution)

Total article views: 3,088 (including HTML, PDF, and XML) Thereof 3,015 with geography defined and 73 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Nov 2025
Download
Short summary
Wind turbine wakes are dependent on the atmospheric conditions, and it is therefore important to be able to simulate in various different atmospheric conditions. This paper concerns the specific case of an unstable atmospheric surface layer, which is the lower part of the typical daytime atmospheric boundary layer. A simple flow model is suggested and tested for a range of single-wake scenarios, and it shows promising results for velocity deficit predictions.
Read more
Share
Altmetrics
Final-revised paper
Preprint