Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-433-2022
https://doi.org/10.5194/wes-7-433-2022
Research article
 | 
03 Mar 2022
Research article |  | 03 Mar 2022

A model to calculate fatigue damage caused by partial waking during wind farm optimization

Andrew P. J. Stanley, Jennifer King, Christopher Bay, and Andrew Ning

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Andrew P. J. Stanley on behalf of the Authors (25 Jun 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (29 Jul 2021) by Alessandro Croce
RR by Wim Bierbooms (03 Aug 2021)
RR by Anonymous Referee #2 (19 Aug 2021)
RR by Anonymous Referee #3 (27 Oct 2021)
ED: Publish subject to minor revisions (review by editor) (23 Dec 2021) by Alessandro Croce
AR by Andrew P. J. Stanley on behalf of the Authors (15 Jan 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Jan 2022) by Alessandro Croce
ED: Publish as is (24 Jan 2022) by Joachim Peinke (Chief editor)
AR by Andrew P. J. Stanley on behalf of the Authors (01 Feb 2022)
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Short summary
In this paper, we present a computationally inexpensive model to calculate wind turbine blade fatigue caused by waking and partial waking. The model accounts for steady state on the blade, as well as wind turbulence. The model is fast enough to be used in wind farm layout optimization, which has not been possible with more expensive fatigue models in the past. The methods introduced in this paper will allow for farms with increased energy production that maintain turbine structural reliability.
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