Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 9
Articles | Volume 11, issue 9
https://doi.org/10.5194/wes-11-3653-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-3653-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 9
Research article
 | 
22 Sep 2026
Research article |  | 22 Sep 2026

Lifetime reassessment of offshore wind turbines considering different operating conditions using Kriging meta-models

Franziska Schmidt, Clemens Hübler, and Raimund Rolfes

Viewed

Total article views: 1,336 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
899 310 127 1,336 165 142
  • HTML: 899
  • PDF: 310
  • XML: 127
  • Total: 1,336
  • BibTeX: 165
  • EndNote: 142
Views and downloads (calculated since 23 Feb 2026)
Cumulative views and downloads (calculated since 23 Feb 2026)

Viewed (geographical distribution)

Total article views: 1,336 (including HTML, PDF, and XML) Thereof 1,314 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Oct 2026
Download
Short summary
A lifetime reassessment of an offshore wind turbine using Kriging meta-models is performed. This method is compared to a full lifetime reassessment using aeroelastic simulations considering all actually occurring combinations of environmental parameters and to the approach according to International Electrotechnical Commission (IEC) 61400-3. By using the meta-models, the computing time can be significantly reduced compared to the other two methods, while ensuring a high approximation quality in the prediction of lifetime fatigue loads.
Read more
Share
Altmetrics
Final-revised paper
Preprint