Articles | Volume 9, issue 2
https://doi.org/10.5194/wes-9-471-2024
https://doi.org/10.5194/wes-9-471-2024
Research article
 | 
01 Mar 2024
Research article |  | 01 Mar 2024

Multi-objective calibration of vertical-axis wind turbine controllers: balancing aero-servo-elastic performance and noise

Livia Brandetti, Sebastiaan Paul Mulders, Roberto Merino-Martinez, Simon Watson, and Jan-Willem van Wingerden

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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-2023-154', Anonymous Referee #1, 18 Dec 2023
  • RC2: 'Comment on wes-2023-154', David Wood, 19 Dec 2023
  • AC1: 'Comment on wes-2023-154', Livia Brandetti, 16 Jan 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Livia Brandetti on behalf of the Authors (16 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Jan 2024) by Alessandro Bianchini
RR by David Wood (16 Jan 2024)
RR by Anonymous Referee #1 (25 Jan 2024)
ED: Publish as is (25 Jan 2024) by Alessandro Bianchini
ED: Publish as is (25 Jan 2024) by Paul Fleming (Chief editor)
AR by Livia Brandetti on behalf of the Authors (26 Jan 2024)
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Short summary
This research presents a multi-objective optimisation approach to balance vertical-axis wind turbine (VAWT) performance and noise, comparing the combined wind speed estimator and tip-speed ratio (WSE–TSR) tracking controller with a baseline. Psychoacoustic annoyance is used as a novel metric for human perception of wind turbine noise. Results showcase the WSE–TSR tracking controller’s potential in trading off the considered objectives, thereby fostering the deployment of VAWTs in urban areas.
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