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
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	54	16	1	71
Jan 2025	47	17	0	64
Feb 2025	32	8	1	41

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	54	16	1	71
Jan 2025	47	17	0	64
Feb 2025	32	8	1	41

HTML	PDF	XML	Total	BibTeX	EndNote
257	37	6	300	14	11

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408	123	131	662	21	21

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Total article views: 962 (including HTML, PDF, and XML) Thereof 935 with geography defined and 27 with unknown origin.

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Latest update: 22 Feb 2025

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.