Analysis of the anisotropy aerodynamic characteristics of downstream wind turbine considering the 3D wake expansion based on coupling method

Xu, Zongyuan; Gao, Xiaoxia; Huanqiang, Zhang; Lv, Tao; Han, Zhonghe; Xiao-hong, Zhu; Wang, Yu

doi:10.1016/j.energy.2022.125962

Cited by 6 publications

(1 citation statement)

References 42 publications

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“…Subsequently, the 3DJG model was improved by Gao et al [25][26][27] considering the velocity distribution characteristics of the near wake, topographic effects, and yawing. Xu et al 28 combined the 3DJG model and OpenFAST to investigate the effect of upstream wind turbine location on the aerodynamic performance of downstream wind turbines. In addition, by correcting for the effect of wind shear using the same method as Gao et al, [24][25][26][27] we 29 propose a 3D polynomial-shaped wake model by considering the anisotropic expansion of the wake boundary.…”

Section: Introductionmentioning

confidence: 99%

A three‐dimensional analytical model based on Gaussian distribution for wind‐turbine wakes

Ling,

Zhao,

Liu

et al. 2023

Env Prog and Sustain Energy

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A Gaussian‐shaped, three‐dimensional (3DG‐k) wake model is proposed considering the shear wind effect. The model defines the wake radius rw to be equal to twice the Gaussian standard deviation σ and establishes a link with the expansion coefficient k of the physical wake boundary to describe the wake boundary. Garrad Hassan (GH) wind tunnel test data, Shiren wind farm measurement data, Nibe wind farm measurement data, and Vestas V80‐2MW wind turbine computational data by large eddy simulation method are used to validate the accuracy of the 3DG‐k, Jensen, 3D Gaussian (3DG), and 3D cosine (3D‐C) models. Results show that the 3DG‐k model exhibits higher accuracy for the four cases compared to other models. Due to its simplicity and universality, the model can be used for layout optimization and wake control of wind farms.

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