Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 8
Articles | Volume 11, issue 8
https://doi.org/10.5194/wes-11-2845-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-2845-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 8
Research article
 | 
07 Aug 2026
Research article |  | 07 Aug 2026

Validation of RANS-calibrated engineering models and ANN-based surrogate for wind farm flow simulation and layout optimization

Jens Peter Schøler, Ernestas Simutis, M. Paul van der Laan, Julian Quick, and Pierre-Elouan Réthoré

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Latest update: 16 Sep 2026
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Short summary
Wind turbines create wakes, which reduce downstream power. Optimizing turbine placement requires accounting for these reductions. We compared a neural network trained on numerical simulations against engineering wake models across various farm sizes. The neural network predicted flow most accurately but was slower. Surprisingly, a simple TurbOPark model produced layouts with higher validated energy output, suggesting that accuracy is not the only important metric for such models.
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