Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 11
Articles | Volume 9, issue 11
https://doi.org/10.5194/wes-9-2133-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-2133-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 11
Brief communication
 | 
08 Nov 2024
Brief communication |  | 08 Nov 2024

Brief communication: Real-time estimation of the optimal tip-speed ratio for controlling wind turbines with degraded blades

Devesh Kumar and Mario A. Rotea

Viewed

Total article views: 1,246 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
819 297 130 1,246 48 54
  • HTML: 819
  • PDF: 297
  • XML: 130
  • Total: 1,246
  • BibTeX: 48
  • EndNote: 54
Views and downloads (calculated since 15 Nov 2023)
Cumulative views and downloads (calculated since 15 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,246 (including HTML, PDF, and XML) Thereof 1,220 with geography defined and 26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2025
Download
Short summary
The performance of a wind turbine is affected by blade surface degradation due to wear and tear, dirt, bugs, and icing. As blades degrade, optimal operating points such as the tip-speed ratio (TSR) can change. Re-tuning the TSR to its new optimal value can lead to recovery of energy losses under blade degradation. In this work, we utilize a real-time algorithm to re-tune the TSR to its new unknown optimal value under blade degradation and demonstrate energy gains using simulations.
Read more
Share
Altmetrics
Final-revised paper
Preprint