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Comparison of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes
Rivera-Arreba, Irene; Li ZB(李曌斌); Yang XL(杨晓雷); Bachynski-Polic, Erin E.
通讯作者Yang, Xiaolei(xyang@imech.ac.cn) ; Bachynski-Polic, Erin E.(erin.bachynski@ntnu.no)
发表期刊RENEWABLE ENERGY
2024-02-01
卷号221页码:22
ISSN0960-1481
摘要Accurately predicting the evolution of wake is crucial for power output and structural load estimation in wind farms. This study aims to validate the dynamic wake meandering (DWM) model, an efficient mid-fidelity wake model, against large eddy simulation (LES). The predictive capabilities of the DWM model for various wake properties, namely time-averaged wake deficit, mean wake center deflection, amplitude, and frequency spectrum of wake meandering, are comprehensively analyzed using the IEA 15MW reference wind turbine under different yaw and tilt misalignment angles. Two turbulent inflows with varying shear and turbulence intensity levels are considered. The comparison highlights the significance of the filter size (Cmeand) in DWM as a key parameter determining simultaneously the time-averaged wake deflection and meandering amplitude, with optimal values differing for horizontal and vertical wake displacements. When the appropriate Cmeand values are selected, the implementation of the DWM model in FAST.Farm demonstrates good agreement with LES data, particularly concerning time-averaged wake deficit, wake centerline deflection, and wake meandering amplitude at eight rotor diameters downstream. However, the DWM model tends to overestimate the energy in the lower frequency region with Strouhal's number less than 0.1 and underestimate the wake oscillation induced by the shear-layer at higher frequencies, even though the wake motion standard deviation is accurately reproduced if the polar grid size is properly adjusted. Furthermore, the influence of the ground effect on downward wake deflection through tilt control is revealed. These findings clearly demonstrate the strengths and weaknesses of the current DWM model and can serve as a reference for the development of advanced wake models.
关键词Wind turbine wake Dynamic wake meandering Large eddy simulation Wake deflection Wake steering
DOI10.1016/j.renene.2023.119807
收录类别SCI ; EI
语种英语
WOS记录号WOS:001144924500001
关键词[WOS]TURBULENCE ; TUNNEL ; LAYER ; FARM ; VALIDATION
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
WOS类目Green & Sustainable Science & Technology ; Energy & Fuels
资助项目Basic Science Center Program for Multiscale Problems in Nonlinear Mechanicsof the National Natural Science Foundation of China[11988102] ; NSFC[12172360] ; NSFC[12202453] ; Research Council of Norway[294573] ; Equinor ; MacGregor ; Inocean ; APL Norway ; RWE Renewables
项目资助者Basic Science Center Program for Multiscale Problems in Nonlinear Mechanicsof the National Natural Science Foundation of China ; NSFC ; Research Council of Norway ; Equinor ; MacGregor ; Inocean ; APL Norway ; RWE Renewables
论文分区二类/Q1
力学所作者排名1
RpAuthorYang, Xiaolei ; Bachynski-Polic, Erin E.
引用统计
被引频次:1[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/311007/94199
专题非线性力学国家重点实验室
推荐引用方式
GB/T 7714
Rivera-Arreba, Irene,Li ZB,Yang XL,et al. Comparison of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes[J]. RENEWABLE ENERGY,2024,221:22.
APA Rivera-Arreba, Irene,李曌斌,杨晓雷,&Bachynski-Polic, Erin E..(2024).Comparison of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes.RENEWABLE ENERGY,221,22.
MLA Rivera-Arreba, Irene,et al."Comparison of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes".RENEWABLE ENERGY 221(2024):22.
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