Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 4
Articles | Volume 9, issue 4
https://doi.org/10.5194/wes-9-869-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-869-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 4
Research article
 | 
12 Apr 2024
Research article |  | 12 Apr 2024

Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations

Nikolaos Bempedelis, Filippo Gori, Andrew Wynn, Sylvain Laizet, and Luca Magri

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Short summary
This paper proposes a computational method to maximise the power production of wind farms through two strategies: layout optimisation and yaw angle optimisation. The proposed method relies on high-fidelity computational modelling of wind farm flows and is shown to be able to effectively maximise wind farm power production. Performance improvements relative to conventional optimisation strategies based on low-fidelity models can be attained, particularly in scenarios of increased flow complexity.
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