Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/wes-11-1487-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-1487-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 4
Research article
 | 
30 Apr 2026
Research article |  | 30 Apr 2026

Efficient derivative computation for unsteady fatigue-constrained nonlinear aero-structural wind turbine blade optimization

Adam Cardoza and Andrew Ning

Viewed

Total article views: 1,016 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
711 230 75 1,016 42 56
  • HTML: 711
  • PDF: 230
  • XML: 75
  • Total: 1,016
  • BibTeX: 42
  • EndNote: 56
Views and downloads (calculated since 28 Jan 2026)
Cumulative views and downloads (calculated since 28 Jan 2026)

Viewed (geographical distribution)

Total article views: 1,016 (including HTML, PDF, and XML) Thereof 983 with geography defined and 33 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Jun 2026
Download
Short summary
New software calculates wind turbine blade design improvements 10 times faster than traditional methods while maintaining accuracy. By combining four advanced mathematical techniques, researchers optimized a blade design to reduce energy costs by 12.78 %, making fatigue-aware design practical for engineering applications.
Read more
Share
Altmetrics
Final-revised paper
Preprint