Portal de Periódicos da CAPES

Derivation and verification of three-dimensional wake model of multiple wind turbines based on super-Gaussian function

2023; Elsevier BV; Volume: 215; Linguagem: Inglês

10.1016/j.renene.2023.118968

1879-0682

Shaohai Zhang, Xiaoxia Gao, Wanli Ma, Hongkun Lu, Tao Lv, Shinai Xu, Xiaoxun Zhu, Haiying Sun, Yu Wang,

Icing and De-icing Technologies

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.