Articles | Volume 2, issue 2
https://doi.org/10.5194/wes-2-477-2017
https://doi.org/10.5194/wes-2-477-2017
Research article
 | 
18 Oct 2017
Research article |  | 18 Oct 2017

An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects

Niko Mittelmeier, Julian Allin, Tomas Blodau, Davide Trabucchi, Gerald Steinfeld, Andreas Rott, and Martin Kühn

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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
ED: Publish subject to minor revisions (review by editor) (11 May 2017) by Christian Masson
AR by Niko Mittelmeier on behalf of the Authors (21 May 2017)  Author's response   Manuscript 
ED: Publish as is (09 Jun 2017) by Christian Masson
ED: Referee Nomination & Report Request started (21 Jul 2017) by Christian Masson
RR by Anonymous Referee #1 (13 Aug 2017)
RR by Anonymous Referee #2 (14 Aug 2017)
ED: Publish as is (25 Aug 2017) by Christian Masson
ED: Publish subject to technical corrections (08 Sep 2017) by Jakob Mann (Chief editor)
AR by Niko Mittelmeier on behalf of the Authors (16 Sep 2017)  Author's response   Manuscript 
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Short summary
Stability classification is usually based on measurements from met masts, buoys or lidars. The objective of this paper is to find a classification for stability based on wind turbine supervisory control and data acquisition measurements in order to fit engineering wake models better to the current ambient conditions. The proposed signal is very sensitive to increased turbulence. It allows us to distinguish between conditions with different magnitudes of wake effects.
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