Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 1
Articles | Volume 5, issue 1
https://doi.org/10.5194/wes-5-309-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-309-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 1
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, Søren Juhl Andersen, and Tuhfe Göçmen

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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°.
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