Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 6
Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2407-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-2407-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 6
Research article
 | 
09 Dec 2022
Research article |  | 09 Dec 2022

The Jensen wind farm parameterization

Yulong Ma, Cristina L. Archer, and Ahmadreza Vasel-Be-Hagh

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Short summary
Wind turbine wakes are important because they reduce the power production of wind farms and may cause unintended impacts on the weather around wind farms. Weather prediction models, like WRF and MPAS, are often used to predict both power and impacts of wind farms, but they lack an accurate treatment of wind farm wakes. We developed the Jensen wind farm parameterization, based on the existing Jensen model of an idealized wake. The Jensen parameterization is accurate and computationally efficient.
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