Wake-based wind turbine optimisations under yawed conditions

Jiufa Cao, Xiang Gao, Xiang Shen, Haoyuan Sun, Yi Ju

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)
14 Downloads (Pure)


The yawed wind turbines in the upstream can be used to reduce wake losses for the downstream wind turbines. Accurate prediction for the wake aerodynamics performance under yawed operation condition is of significant importance for such a controlling strategy. In the present paper, an improved engineering wake model considering yawed conditions is implemented to simulate the wakes behind yawed wind turbines. Firstly, an improved engineering yaw model is utilized to simulate the wakes under yawed conditions. The improved wake model is based on the unsteady Blade Element Momentum (BEM) method with the induction factor and thrust coefficient as key parameters. Secondly, based on genetic algorithm optimization method, the yawed angles control optimization platform is built with wake model of wind turbine. Finally, the loads and aerodynamic performance are analyzed under optimal yawed angles of multi-wind turbine. The results showed that the improved engineering yawed model and yaw control strategy can be accurately and efficiently utilized in enhancing the wake velocity and aerodynamic performance of the yawed wind turbine.
Original languageEnglish
Title of host publication2022 7th International Conference on Environment Friendly Energies and Applications (EFEA)
Subtitle of host publicationRenewable and Sustainable Energy Systems, Hybrid Transportation Systems, Energy Transition, and Energy Security
Place of PublicationPiscataway, US
Number of pages5
ISBN (Electronic)9798350333213
ISBN (Print)9798350333220
Publication statusPublished - 22 Dec 2022
Event7th International Conference on Environment Friendly Energies and Applications, EFEA 2022 - Bagatelle Moka MU, Mauritius
Duration: 14 Dec 202216 Dec 2022

Publication series

NameEnvironment Friendly Energies and Applications (EFEA)
PublisherIEEE Xplore
ISSN (Print)2641-5925
ISSN (Electronic)2688-2558


Conference7th International Conference on Environment Friendly Energies and Applications, EFEA 2022
CityBagatelle Moka MU

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