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• W4382364400 startingPage "118968" @default.
• W4382364400 abstract "Wind power production is strongly affected by wake, and wake analysis is particularly important for wind farm layout optimization. The purpose of this study is to establish a multi-dimensional analysis wake model (3DJSG-M model) which can describe the wake region of multiple wind turbines perfectly to analyze the three-dimensional spatial distribution characteristics of the wake of multiple wind turbines. Firstly, considering the wind speed difference between wind shear inflow and uniform inflow, a three-dimensional wake model based on super-Gaussian function (3DJSG model) is derived by using the flow conservation theorem; Secondly, the influence of wind shear is introduced into the energy deficit theory, and the 3DJSG-M model is derived; Finally, wind field experiments are carried out with two high-precision lidars to verify the accuracy of 3DJSG model and 3DJSG-M model respectively. The results show that 3DJSG model and 3DJSG-M model fit well with the experimental data and can better predict the three-dimensional distribution characteristics of the whole wake region after a single wind turbine and multiple wind turbines. This study can provide optimization strategies for wind farm layout, reduce energy costs, and improve wind farm benefits." @default.
• W4382364400 created "2023-06-29" @default.
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• W4382364400 date "2023-10-01" @default.
• W4382364400 modified "2023-10-15" @default.
• W4382364400 title "Derivation and verification of three-dimensional wake model of multiple wind turbines based on super-Gaussian function" @default.
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• W4382364400 doi "https://doi.org/10.1016/j.renene.2023.118968" @default.
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