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

Schmidt, Franziska; Hübler, Clemens; Rolfes, Raimund

doi:10.5194/wes-11-3653-2026

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

Data sets

Simulation data for lifetime reassessment of an offshore wind turbine Franziska Schmidt et al. https://doi.org/10.25835/ubouf7p2

Simulation data and Kriging meta-models of an offshore wind turbine Franziska Schmidt et al. https://doi.org/10.25835/vfc4xy34

Open-access database for meta-models for fatigue calculations of reference wind turbines Franziska Schmidt et al. https://doi.org/10.25835/eydp1nl2

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.