Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1225-2020
https://doi.org/10.5194/wes-5-1225-2020
Research article
 | 
28 Sep 2020
Research article |  | 28 Sep 2020

An alternative form of the super-Gaussian wind turbine wake model

Frédéric Blondel and Marie Cathelain
Authors' note: since the publication of this model, a revised set of parameters reported to offer improved accuracy has been proposed in Blondel (2023). We strongly advise using that updated parameter set.

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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 Blondel Frédéric on behalf of the Authors (09 Jul 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (17 Jul 2020) by Rebecca Barthelmie
RR by Anonymous Referee #2 (22 Jul 2020)
RR by Marijn Floris van Dooren (22 Jul 2020)
ED: Publish subject to minor revisions (review by editor) (03 Aug 2020) by Rebecca Barthelmie
AR by Blondel Frédéric on behalf of the Authors (04 Aug 2020)  Author's response   Manuscript 
ED: Publish as is (10 Aug 2020) by Rebecca Barthelmie
ED: Publish as is (13 Aug 2020) by Joachim Peinke (Chief editor)
AR by Marie Cathelain on behalf of the Authors (17 Aug 2020)
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Please read the editorial note first before accessing the article.

Short summary
Analytical wind turbine wake models are of high interest for wind farm designers: they provide an estimation of wake losses for a given layout at a low computational cost. Consequently they are heavily used for wind farm design and power production evaluation. While most analytical models focus on far-wake characteristics, we propose an approach that is able to represent both near- and far-wake velocity deficit, enabling the simulation of closely packed wind farms.
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