Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3463-2019
https://doi.org/10.5194/amt-12-3463-2019
Research article
 | 
28 Jun 2019
Research article |  | 28 Jun 2019

Automated wind turbine wake characterization in complex terrain

Rebecca J. Barthelmie and Sara C. Pryor

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Latest update: 28 Mar 2024
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Short summary
Wakes are volumes of air with low wind speed that form downwind of wind turbines. Their properties and behaviour determine optimal turbine spacing in wind farms. We use scanning Doppler lidar to accurately and precisely measure wake characteristics at a complex terrain site in Portugal. We develop and apply an automatic processing algorithm to detect wakes and quantify their characteristics. In higher wind speeds, the wake centres are lower. Wake centres are also lower in convective conditions.