Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 10
Articles | Volume 9, issue 10
https://doi.org/10.5194/wes-9-2017-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-2017-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 10
Research article
 | 
29 Oct 2024
Research article |  | 29 Oct 2024

Full-scale wind turbine performance assessment using the turbine performance integral (TPI) method: a study of aerodynamic degradation and operational influences

Tahir H. Malik and Christian Bak

Viewed

Total article views: 3,873 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,865 703 305 3,873 119 136
  • HTML: 2,865
  • PDF: 703
  • XML: 305
  • Total: 3,873
  • BibTeX: 119
  • EndNote: 136
Views and downloads (calculated since 04 Mar 2024)
Cumulative views and downloads (calculated since 04 Mar 2024)

Viewed (geographical distribution)

Total article views: 3,873 (including HTML, PDF, and XML) Thereof 3,760 with geography defined and 113 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Apr 2026
Download
Short summary
We explore the effect of blade modifications on offshore wind turbines' performance through a detailed analysis of 12 turbines over 12 years. Introducing the turbine performance integral method, which utilises time-series decomposition that combines various data sources, we uncover how blade wear, repairs and software updates impact efficiency. The findings offer valuable insights into improving wind turbine operations, contributing to the enhancement of renewable energy technologies.
Read more
Share
Altmetrics
Final-revised paper
Preprint