Preprints
https://doi.org/10.5194/wes-2026-38
https://doi.org/10.5194/wes-2026-38
23 Feb 2026
 | 23 Feb 2026
Status: this preprint is currently under review for the journal WES.

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

Franziska Schmidt, Clemens Hübler, and Raimund Rolfes

Abstract. To extend the lifetime of an offshore wind turbine, a lifetime reassessment is required to determine the remaining lifetime. In this case, the lifetime is recalculated using the combinations of environmental parameters (wind and wave effects) that actually occurred during the lifetime and which normally differ from the assumed conditions during design. The computational effort of such a lifetime reassessment is significant, as a very large number of aeroelastic simulations has to be carried out. Therefore, according to the state of the art, the number of considered combinations of environmental parameters is reduced similar to the design procedure. In this work, an alternative approach for the lifetime reassessment is investigated in detail. It keeps the full set of combinations of environmental parameters and also considers normal operation as well as idling. The challenge of the high computational effort is resolved by using Kriging meta-models instead of aeroelastic simulations. The meta-model-based approach is compared to two other methods for lifetime reassessment: First, the reference method, i.e., a full lifetime reassessment using aeroelastic simulations where all actually occurred combinations of environmental parameters are considered. And second, the approach according to IEC 61400-3. The results show that it is possible to use meta-models instead of the original simulation model for the lifetime reassessment. The computing time can be significantly reduced compared to the other two methods, while maintaining a high approximation quality in the prediction of the lifetime fatigue loads.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Wind Energy Science.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Franziska Schmidt, Clemens Hübler, and Raimund Rolfes

Status: open (until 23 Mar 2026)

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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

Franziska Schmidt, Clemens Hübler, and Raimund Rolfes
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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 occurred combinations of environmental parameters and to the approach according to 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 the lifetime fatigue loads.
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