Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 6
Articles | Volume 9, issue 6
https://doi.org/10.5194/wes-9-1363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 6
Research article
 | 
20 Jun 2024
Research article |  | 20 Jun 2024

Improvements to the dynamic wake meandering model by incorporating the turbulent Schmidt number

Peter Brugger, Corey D. Markfort, and Fernando Porté-Agel

Viewed

Total article views: 1,164 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
897 215 52 1,164 39 31
  • HTML: 897
  • PDF: 215
  • XML: 52
  • Total: 1,164
  • BibTeX: 39
  • EndNote: 31
Views and downloads (calculated since 08 Nov 2023)
Cumulative views and downloads (calculated since 08 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,164 (including HTML, PDF, and XML) Thereof 1,148 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
The dynamic wake meandering model (DWMM) assumes that wind turbine wakes are transported like a passive tracer by the large-scale turbulence of the atmospheric boundary layer. We show that both the downstream transport and the lateral transport of the wake have differences from the passive tracer assumption. We then propose to include the turbulent Schmidt number into the DWMM to account for the less efficient transport of momentum and show that it improves the quality of the model predictions.
Read more
Altmetrics
Final-revised paper
Preprint