Wind Energy Science
Wind Energy Science
WES
Articles | Volume 6, issue 1
Articles | Volume 6, issue 1
https://doi.org/10.5194/wes-6-61-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-6-61-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 1
Research article
 | 
12 Jan 2021
Research article |  | 12 Jan 2021

Parameterization of wind evolution using lidar

Yiyin Chen, David Schlipf, and Po Wen Cheng

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Short summary
Wind evolution is currently of high interest, mainly due to the development of lidar-assisted wind turbine control (LAC). Moreover, 4D stochastic wind field simulations can be made possible by integrating wind evolution into 3D simulations to provide a more realistic simulation environment for LAC. Motivated by these factors, we investigate the potential of Gaussian process regression in the parameterization of a two-parameter wind evolution model using data of two nacelle-mounted lidars.
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