Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 3
Articles | Volume 10, issue 3
https://doi.org/10.5194/wes-10-535-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-535-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 3
Research article
 | 
18 Mar 2025
Research article |  | 18 Mar 2025

Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design

Mark Kelly

Viewed

Total article views: 1,314 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
924 207 183 1,314 83 119
  • HTML: 924
  • PDF: 207
  • XML: 183
  • Total: 1,314
  • BibTeX: 83
  • EndNote: 119
Views and downloads (calculated since 01 Jul 2024)
Cumulative views and downloads (calculated since 01 Jul 2024)

Viewed (geographical distribution)

Total article views: 1,314 (including HTML, PDF, and XML) Thereof 1,295 with geography defined and 19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 Oct 2025
Download
Short summary
Industrial standards for wind turbine design are based on 10 min statistics of wind speed at turbine hub height, treating fluctuations as turbulence. But recent work shows that the effect of strong transients is described by flow acceleration. We devise a method to measure the acceleration that turbines encounter; the extremes offshore defy 10 min averages due to various phenomena beyond turbulence. These findings are translated into a recipe supporting statistical design.
Read more
Share
Altmetrics
Final-revised paper
Preprint