Articles | Volume 5, issue 4
https://doi.org/10.5194/wes-5-1253-2020
https://doi.org/10.5194/wes-5-1253-2020
Research article
 | 
08 Oct 2020
Research article |  | 08 Oct 2020

Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models

Peter Brugger, Mithu Debnath, Andrew Scholbrock, Paul Fleming, Patrick Moriarty, Eric Simley, David Jager, Jason Roadman, Mark Murphy, Haohua Zong, and Fernando Porté-Agel

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Peter Brugger on behalf of the Authors (04 Aug 2020)  Author's response   Manuscript 
ED: Publish as is (19 Aug 2020) by Jakob Mann
ED: Publish as is (19 Aug 2020) by Jakob Mann (Chief editor)
AR by Peter Brugger on behalf of the Authors (28 Aug 2020)
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Short summary
A wind turbine can actively influence its wake by turning the rotor out of the wind direction to deflect the wake away from a downstream wind turbine. This technique was tested in a field experiment at a wind farm, where the inflow and wake were monitored with remote-sensing instruments for the wind speed. The behaviour of the wake deflection agrees with the predictions of two analytical models, and a bias of the wind direction perceived by the yawed wind turbine led to suboptimal power gains.
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