Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 3
Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1137-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-1137-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 3
Research article
 | 
01 Jun 2022
Research article |  | 01 Jun 2022

FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models

Michael J. LoCascio, Christopher J. Bay, Majid Bastankhah, Garrett E. Barter, Paul A. Fleming, and Luis A. Martínez-Tossas

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Short summary
This work introduces the FLOW Estimation and Rose Superposition (FLOWERS) wind turbine wake model. This model analytically integrates the wake over wind directions to provide a time-averaged flow field. This new formulation is used to perform layout optimization. The FLOWERS model provides a smooth flow field over an entire wind plant at fraction of the computational cost of the standard numerical integration approach.
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