Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 1
Articles | Volume 10, issue 1
https://doi.org/10.5194/wes-10-269-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-269-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 1
Research article
 | 
24 Jan 2025
Research article |  | 24 Jan 2025

Full-scale wind turbine performance assessment: a customised, sensor-augmented aeroelastic modelling approach

Tahir H. Malik and Christian Bak

Viewed

Total article views: 3,769 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,870 770 129 3,769 114 154
  • HTML: 2,870
  • PDF: 770
  • XML: 129
  • Total: 3,769
  • BibTeX: 114
  • EndNote: 154
Views and downloads (calculated since 29 Apr 2024)
Cumulative views and downloads (calculated since 29 Apr 2024)

Viewed (geographical distribution)

Total article views: 3,769 (including HTML, PDF, and XML) Thereof 3,650 with geography defined and 119 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 21 Aug 2026
Download
Short summary
This research integrates custom sensors into wind turbine simulation models for improved performance monitoring utilising a turbine performance integral (TPI) method developed here. Real-world data validation demonstrates that appropriate sensor selection improves wind turbine performance monitoring. This approach addresses the need for precise performance assessments in the evolving wind energy sector, ultimately promoting sustainability and efficiency.
Read more
Share
Altmetrics
Final-revised paper
Preprint