Articles | Volume 4, issue 2
https://doi.org/10.5194/wes-4-287-2019
https://doi.org/10.5194/wes-4-287-2019
Research article
 | 
22 May 2019
Research article |  | 22 May 2019

Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm

Thomas Duc, Olivier Coupiac, Nicolas Girard, Gregor Giebel, and Tuhfe Göçmen

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Latest update: 28 Mar 2024
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Short summary
Wind turbine wake recovery is very sensitive to ambient atmospheric conditions. This paper presents a way of including a local turbulence intensity estimation from SCADA into the Jensen wake model to improve its accuracy. This new model procedure is used to optimize power production of an operating wind farm and shows that some gains can be expected even if uncertainties remain high. These optimized settings are to be implemented in a field test campaign in the scope of the SMARTEOLE project.
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