Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1097-2020
https://doi.org/10.5194/wes-5-1097-2020
Research article
 | 
24 Aug 2020
Research article |  | 24 Aug 2020

Clustering wind profile shapes to estimate airborne wind energy production

Mark Schelbergen, Peter C. Kalverla, Roland Schmehl, and Simon J. Watson

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mark Schelbergen on behalf of the Authors (20 Apr 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 Apr 2020) by Andrea Hahmann
RR by Anonymous Referee #2 (17 May 2020)
RR by Markus Sommerfeld (18 May 2020)
ED: Publish subject to minor revisions (review by editor) (30 May 2020) by Andrea Hahmann
AR by Mark Schelbergen on behalf of the Authors (16 Jun 2020)  Author's response 
ED: Publish subject to technical corrections (04 Jul 2020) by Andrea Hahmann
ED: Publish subject to technical corrections (10 Jul 2020) by Joachim Peinke (Chief editor)
AR by Mark Schelbergen on behalf of the Authors (16 Jul 2020)  Manuscript 
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Short summary
We have presented a methodology for including multiple wind profile shapes in a wind resource description that are identified using a data-driven approach. These shapes go beyond the height range for which conventional wind profile relationships are developed. Moreover, they include non-monotonic shapes such as low-level jets. We demonstrated this methodology for an on- and offshore reference location using DOWA data and efficiently estimated the annual energy production of a pumping AWE system.
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