Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 841–866, 2021
https://doi.org/10.5194/wes-6-841-2021
Wind Energ. Sci., 6, 841–866, 2021
https://doi.org/10.5194/wes-6-841-2021

Research article 07 Jun 2021

Research article | 07 Jun 2021

Wind turbine load validation in wakes using wind field reconstruction techniques and nacelle lidar wind retrievals

Davide Conti et al.

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Interactive discussion

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 Davide Conti on behalf of the Authors (20 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Jan 2021) by Raúl Bayoán Cal
RR by Anonymous Referee #2 (28 Jan 2021)
RR by Anonymous Referee #1 (18 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (19 Feb 2021) by Raúl Bayoán Cal
AR by Davide Conti on behalf of the Authors (01 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (07 Apr 2021) by Raúl Bayoán Cal
ED: Publish as is (15 Apr 2021) by Joachim Peinke(Chief Editor)
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Short summary
We define two lidar-based procedures for improving the accuracy of wind turbine load assessment under wake conditions. The first approach incorporates lidar observations directly into turbulence fields serving as inputs for aeroelastic simulations; the second approach imposes lidar-fitted wake deficit time series on the turbulence fields. The uncertainty in the lidar-based power and load predictions is quantified for a variety of scanning configurations and atmosphere turbulence conditions.