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Statistics of Wind Farm Wakes for Different Layouts and Ground Roughness
Wang ZW(王泽伟); Dong GD(董国丹); Li ZB(李曌斌); Yang XL(杨晓雷)
发表期刊BOUNDARY-LAYER METEOROLOGY
2023-06-02
ISSN0006-8314
摘要In this work, wakes of wind farms are investigated using large-eddy simulation with an actuator disk model for the wind turbine. The effects of streamwise turbine spacings, number of wind turbine rows and roughness lengths of ground surface on the characteristics of wind farm wakes are examined. The simulation results showed that the effects of S-x (streamwise turbine spacings) are mainly located in the near wake of wind farm (less than 20 rotor diameters downstream from the last row of the wind farm), where the turbulence intensity is higher for smaller values of S-x. In the far wake of wind farms (more than 90 rotor diameters downstream from the last row of the wind farm), the streamwise velocity deficit as well as the Reynolds stresses from cases with different streamwise turbine spacings are close to each other. For cases with more wind turbine rows (N-row) and larger roughness length of ground surface (k0), faster velocity recovery and higher turbulence intensity are observed. Terms in the budget equation for mean kinetic energy (MKE) are examined. The analyses showed that the vertical MKE transport via mean convection and turbulence convection plays a dominant role in the velocity recovery in wind farm wakes, being different from the wind farm region where streamwise MKE flux due to mean convection also plays a role. Lastly, an analytical model for the velocity deficit in wind farm wake is proposed based on the Emeis model. Improvements on the model predictions are observed for all the simulated cases. The velocity deficit at one downstream location of the wind farm needs to be given is one major limitation of the analytical model of this type.
关键词Wind farm Wakes Boundary layer
DOI10.1007/s10546-023-00814-0
收录类别SCI ; EI
语种英语
WOS记录号WOS:001000505300001
WOS研究方向Meteorology & Atmospheric Sciences
项目资助者NSFC Basic Science Center Program [11988102] ; National Natural Science Foundation of China [12172360] ; Institute of Mechanics CAS ; Chinese Academy of Sciences
论文分区二类
力学所作者排名1
RpAuthorYang, XL (corresponding author), Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing, Peoples R China. ; Yang, XL (corresponding author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China.
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://dspace.imech.ac.cn/handle/311007/92387
专题非线性力学国家重点实验室
作者单位1.{Wang Zewei, Dong Guodan, Li Zhaobin, Yang Xiaolei} Chinese Acad Sci Inst Mech State Key Lab Nonlinear Mech Beijing Peoples R China
2.{Wang Zewei, Dong Guodan, Li Zhaobin, Yang Xiaolei} Univ Chinese Acad Sci Sch Engn Sci Beijing Peoples R China
推荐引用方式
GB/T 7714
Wang ZW,Dong GD,Li ZB,et al. Statistics of Wind Farm Wakes for Different Layouts and Ground Roughness[J]. BOUNDARY-LAYER METEOROLOGY,2023.
APA 王泽伟,董国丹,李曌斌,&杨晓雷.(2023).Statistics of Wind Farm Wakes for Different Layouts and Ground Roughness.BOUNDARY-LAYER METEOROLOGY.
MLA 王泽伟,et al."Statistics of Wind Farm Wakes for Different Layouts and Ground Roughness".BOUNDARY-LAYER METEOROLOGY (2023).
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