Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/wes-10-417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-10-417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 2
Research article
 | 
10 Feb 2025
Research article |  | 10 Feb 2025

On the modeling errors of digital twins for load monitoring and fatigue assessment in wind turbine drivetrains

Felix C. Mehlan and Amir R. Nejad

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Short summary
A digital twin is a virtual representation that mirrors the wind turbine's real behavior through simulation models and sensor measurements and can assist in making key decisions such as planning the replacement of parts. These models and measurements are, of course, not perfect and only give an incomplete picture of the real behavior. This study investigates how large the uncertainty of such models and measurements is and to what extent it affects the decision-making process.
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Electro-mechanical interactions in wind turbines
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