Wind Energy Science
Wind Energy Science
WES
Articles | Volume 2, issue 2
Articles | Volume 2, issue 2
https://doi.org/10.5194/wes-2-477-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/wes-2-477-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 2, issue 2
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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Latest update: 14 Dec 2024
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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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The Science of Making Torque from Wind (TORQUE) 2016
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