Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 1
Articles | Volume 10, issue 1
https://doi.org/10.5194/wes-10-227-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-227-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 1
Research article
 | 
23 Jan 2025
Research article |  | 23 Jan 2025

Challenges in detecting wind turbine power loss: the effects of blade erosion, turbulence, and time averaging

Tahir H. Malik and Christian Bak

Viewed

Total article views: 1,971 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,513 399 59 1,971 71 102
  • HTML: 1,513
  • PDF: 399
  • XML: 59
  • Total: 1,971
  • BibTeX: 71
  • EndNote: 102
Views and downloads (calculated since 04 Apr 2024)
Cumulative views and downloads (calculated since 04 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,971 (including HTML, PDF, and XML) Thereof 1,932 with geography defined and 39 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Oct 2025
Download
Short summary
This study investigates how wind turbine blades damaged by erosion, along with changing wind conditions, affect power output. Even minor blade damage can lead to significant energy losses, especially in turbulent winds. Using simulations, it was discovered that standard power data analysis methods, including time averaging, can hide these losses. This research highlights the need for better blade damage detection and careful wind data analysis to optimise wind farm performance.
Read more
Share
Altmetrics
Final-revised paper
Preprint