Articles | Volume 8, issue 2
https://doi.org/10.5194/wes-8-141-2023
https://doi.org/10.5194/wes-8-141-2023
Brief communication
 | 
08 Feb 2023
Brief communication |  | 08 Feb 2023

Brief communication: A momentum-conserving superposition method applied to the super-Gaussian wind turbine wake model

Frédéric Blondel

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Short summary
Accurate wind farm flow predictions based on analytical wake models are crucial for wind farm design and layout optimization. Wake superposition methods play a key role and remain a substantial source of uncertainty. In the present work, a momentum-conserving superposition method is extended to the superposition of super-Gaussian-type velocity deficit models, allowing the full wake velocity deficit estimation and design of closely packed wind farms.
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