Wind Energy Science
Wind Energy Science
WES
Articles | Volume 4, issue 2
Articles | Volume 4, issue 2
https://doi.org/10.5194/wes-4-211-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-4-211-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 4, issue 2
Research article
 | 
08 May 2019
Research article |  | 08 May 2019

Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization

Andrés Santiago Padrón, Jared Thomas, Andrew P. J. Stanley, Juan J. Alonso, and Andrew Ning

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Short summary
We propose the use of a new method to efficiently compute the annual energy production (AEP) of a wind farm by properly handling the uncertainties in the wind direction and wind speed. We apply the new ideas to the layout optimization of a large wind farm. We show significant computational savings by reducing the number of simulations required to accurately compute and optimize the AEP of different wind farms.
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