Articles | Volume 5, issue 1
Wind Energ. Sci., 5, 309–329, 2020
https://doi.org/10.5194/wes-5-309-2020
Wind Energ. Sci., 5, 309–329, 2020
https://doi.org/10.5194/wes-5-309-2020
Research article
05 Mar 2020
Research article | 05 Mar 2020

Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations

Paul Hulsman et al.

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Latest update: 09 Dec 2022
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Short summary
We aim to develop fast and reliable surrogate models for yaw-based wind farm control. The surrogates, based on polynomial chaos expansion, are built using high-fidelity flow simulations combined with aeroelastic simulations of the turbine performance and loads. Optimization results performed using two Vestas V27 turbines in a row for a specific atmospheric condition suggest that a power gain of almost 3 % ± 1 % can be achieved at close spacing by yawing the upstream turbine more than 15°.