Articles | Volume 10, issue 1
https://doi.org/10.5194/wes-10-269-2025
https://doi.org/10.5194/wes-10-269-2025
Research article
 | 
24 Jan 2025
Research article |  | 24 Jan 2025

Full-scale wind turbine performance assessment: a customised, sensor-augmented aeroelastic modelling approach

Tahir H. Malik and Christian Bak

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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-2024-49', Anonymous Referee #1, 06 Jun 2024
    • AC1: 'Reply on RC1', Tahir Malik, 12 Aug 2024
  • RC2: 'Comment on wes-2024-49', Anonymous Referee #2, 22 Jun 2024
    • AC2: 'Reply on RC2', Tahir Malik, 12 Aug 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Tahir Malik on behalf of the Authors (12 Aug 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Aug 2024) by Shawn Sheng
ED: Publish subject to minor revisions (review by editor) (02 Dec 2024) by Shawn Sheng
AR by Tahir Malik on behalf of the Authors (05 Dec 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 Dec 2024) by Shawn Sheng
ED: Publish as is (11 Dec 2024) by Paul Veers (Chief editor)
AR by Tahir Malik on behalf of the Authors (12 Dec 2024)  Manuscript 
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Short summary
This research integrates custom sensors into wind turbine simulation models for improved performance monitoring utilising a turbine performance integral (TPI) method developed here. Real-world data validation demonstrates that appropriate sensor selection improves wind turbine performance monitoring. This approach addresses the need for precise performance assessments in the evolving wind energy sector, ultimately promoting sustainability and efficiency.
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