Evaluating the potential of a wake steering co-design for wind farm layout optimization through a tailored genetic algorithm

Matteo Baricchio, Pieter M. O. Gebraad, and Jan-Willem van Wingerden

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May 2024	190	58	11	259
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Dec 2024	30	9	1	40

Cumulative views and downloads (calculated since 02 May 2024)

Month	HTML	PDF	XML	Total
May 2024	190	58	11	259
Jun 2024	57	11	4	72
Jul 2024	65	7	4	76
Aug 2024	28	8	2	38
Sep 2024	25	8	109	142
Oct 2024	25	7	1	33
Nov 2024	142	20	4	166
Dec 2024	30	9	1	40

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164	18	5	187	3	2

HTML	PDF	XML	Total	BibTeX	EndNote
398	110	131	639	18	18

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Latest update: 13 Dec 2024

Short summary

Wake steering can be integrated into wind farm layout optimization through a co-design approach. This study estimates the potential of this method for a wide range of realistic conditions, adopting a tailored genetic algorithm and novel geometric yaw relations. A gain in the annual energy yield between 0.3 % and 0.4 % is obtained for a 16-tubrine farm, and a multi-objective implementation is used to limit loss in the case that wake steering is not used during farm operation.