Articles | Volume 8, issue 4
https://doi.org/10.5194/wes-8-575-2023
https://doi.org/10.5194/wes-8-575-2023
Research article
 | 
24 Apr 2023
Research article |  | 24 Apr 2023

Prognostics-based adaptive control strategy for lifetime control of wind turbines

Edwin Kipchirchir, M. Hung Do, Jackson G. Njiri, and Dirk Söffker

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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-2021-144', Anonymous Referee #1, 05 Jan 2022
  • RC2: 'Comment on wes-2021-144', Anonymous Referee #2, 06 Apr 2022
  • RC3: 'Comment on wes-2021-144', Anonymous Referee #3, 19 Apr 2022
  • AC1: 'Comment on wes-2021-144', Edwin Kipchirchir, 16 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Edwin Kipchirchir on behalf of the Authors (13 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Oct 2022) by Paul Fleming
RR by Anonymous Referee #2 (27 Oct 2022)
RR by Anonymous Referee #1 (13 Dec 2022)
ED: Reconsider after major revisions (15 Dec 2022) by Paul Fleming
AR by Edwin Kipchirchir on behalf of the Authors (10 Feb 2023)
EF by Natascha Töpfer (27 Feb 2023)  Manuscript   Author's response   Author's tracked changes 
ED: Referee Nomination & Report Request started (27 Feb 2023) by Paul Fleming
RR by Anonymous Referee #2 (01 Mar 2023)
RR by Anonymous Referee #1 (20 Mar 2023)
ED: Publish as is (20 Mar 2023) by Paul Fleming
ED: Publish as is (24 Mar 2023) by Gerard J.W. van Bussel (Chief editor)
AR by Edwin Kipchirchir on behalf of the Authors (31 Mar 2023)  Manuscript 
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Short summary
In this work, an adaptive control strategy for controlling the lifetime of wind turbine components is proposed. Performance of the lifetime controller is adapted based on real-time health status of the rotor blades to guarantee a predefined lifetime. It shows promising results in lifetime control of blades without speed regulation and tower load mitigation trade-off. It can be applied in optimizing maintenance scheduling of wind farms, which increases reliability and reduces maintenance costs.
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