Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 819–831, 2018
https://doi.org/10.5194/wes-3-819-2018
Wind Energ. Sci., 3, 819–831, 2018
https://doi.org/10.5194/wes-3-819-2018

Research article 01 Nov 2018

Research article | 01 Nov 2018

Analysis of control-oriented wake modeling tools using lidar field results

Jennifer Annoni 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 Anna Wenzel on behalf of the Authors (08 May 2018)  Author's response
ED: Referee Nomination & Report Request started (23 May 2018) by Raúl Bayoán Cal
RR by Anonymous Referee #1 (12 Jul 2018)
RR by Anonymous Referee #2 (27 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (02 Sep 2018) by Raúl Bayoán Cal
AR by Anna Wenzel on behalf of the Authors (17 Sep 2018)  Author's response
ED: Publish as is (25 Sep 2018) by Raúl Bayoán Cal
ED: Publish as is (29 Sep 2018) by Joachim Peinke(Chief Editor)
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Short summary
This paper addresses the modeling aspect of wind farm control. To implement successful wind farm controls, a suitable model has to be used that captures the relevant physics. This paper addresses three different wake models that can be used for controls and compares these models with lidar field data from a utility-scale turbine.