Articles | Volume 9, issue 4
https://doi.org/10.5194/wes-9-869-2024
https://doi.org/10.5194/wes-9-869-2024
Research article
 | 
12 Apr 2024
Research article |  | 12 Apr 2024

Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations

Nikolaos Bempedelis, Filippo Gori, Andrew Wynn, Sylvain Laizet, and Luca Magri

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-110', Anonymous Referee #1, 25 Sep 2023
    • AC1: 'Reply on RC1', Nikolaos Bempedelis, 20 Oct 2023
  • RC2: 'Comment on wes-2023-110', Anonymous Referee #2, 03 Oct 2023
    • AC2: 'Reply on RC2', Nikolaos Bempedelis, 20 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Nikolaos Bempedelis on behalf of the Authors (20 Oct 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (31 Oct 2023) by Cristina Archer
RR by Anonymous Referee #1 (22 Nov 2023)
RR by Anonymous Referee #2 (30 Nov 2023)
ED: Reconsider after major revisions (05 Dec 2023) by Cristina Archer
AR by Nikolaos Bempedelis on behalf of the Authors (15 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (23 Jan 2024) by Cristina Archer
RR by Anonymous Referee #1 (18 Feb 2024)
ED: Publish as is (20 Feb 2024) by Cristina Archer
ED: Publish as is (20 Feb 2024) by Sandrine Aubrun (Chief editor)
AR by Nikolaos Bempedelis on behalf of the Authors (20 Feb 2024)  Manuscript 
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Short summary
This paper proposes a computational method to maximise the power production of wind farms through two strategies: layout optimisation and yaw angle optimisation. The proposed method relies on high-fidelity computational modelling of wind farm flows and is shown to be able to effectively maximise wind farm power production. Performance improvements relative to conventional optimisation strategies based on low-fidelity models can be attained, particularly in scenarios of increased flow complexity.
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