Aiming at the wind turbine wake interference effects for different layouts, methods of reducing wind turbine wake interference in limited site is explored. Wind turbine wake interference effects for different layouts are studied by numerical simulation, and the most unfavorable working conditions among wake interference effects are selected to limit the size of the site. Then the windbreak wall is added and study on the wake interference effect characteristics of wind turbines is carried out, as the position and height of the windbreak wall change. And the distribution of the wake flow for different layouts, and the wind speed contours, as well as power law of the wake flow interference with windbreak walls are obtained. Effects of windbreak walls with different parameters on the restriction of wake interference are found out. The results show that with the increase of serial interference spacing, the interference effects are gradually weakened. Power increases as the serial interference spacing increases, and the interference effects reach its maximum when serial interference spacing is 3D (D is the diameter of the wind turbine). The larger the staggered spacing is, the weaker the interference effect is, the slower the wake recovery becomes. The power increases with the increase of staggered spacing. As the staggered spacing increases, interference effects gradually weaken, and the wind speed loss becomes less. The staggered layouts weaken the wake superposition effects and the wake expansion. The closer the distance between the windbreak wall and the wind turbin downstream, the more restriction on the wake of the upstream wind turbine and more improvement on the incoming wind speed of the downstream wind turbine. For windbreak wall at three heights, 25 m is the best for restricting the wake interference effects, and 40 m windbreak wall makes worse is worse than that of 10 m.
Key words
wind turbines /
wake /
wind farm /
wake interference characterization /
windbreak wall layouts /
numerical simulation
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References
[1] 孙辉, 吴姝雯, 王超. 尾流效应对风电场功率输出的影响分析[J]. 华北电力大学学报(自然科学版), 2015, 42(2): 55-60.
SUN H, WU S W, WANG C.Impact analysis of wake effect on wind farm output[J]. Journal of North China Electric Power University(natural science edition), 2015, 42(2): 55-60.
[2] 许霞, 张小雷, 孟庆茂. 尾流对风电机组发电量影响分析[J]. 风能, 2014(5): 74-77.
XU X, ZHANG X L, MENG Q M.Analysis of influence of wake on power generation of wind turbine[J]. Wind energy, 2014(5): 74-77.
[3] 陈安新, 孙锐, 王凯, 等. 基于致动线和大涡模拟的不同入流风况下的风力机尾流特性研究[J]. 可再生能源, 2021, 39(10): 1354-1361.
CHEN A X, SUN R, WANG K, et al.Research on wake characteristics of wind turbine under different inflow wind conditions based on actuation line and large eddy simulation[J]. Renewable energy resources, 2021, 39(10): 1354-1361.
[4] 温文, 邓胜祥. 不同串列布置间距下2 MW风力机尾流的研究[J]. 太阳能, 2019(1): 57-60.
WEN W, DENG S X.Study on the wake of 2 MW wind turbines under diff erent series arrangement spacing[J]. Solar energy, 2019(1): 57-60.
[5] CHOWDHURY S, ZHANG J, MESSAC A, et al.Unrestricted wind farm layout optimization(UWFLO): investigating key factors influencing the maximum power generation[J]. Renewable energy, 2012, 38(1): 16-30.
[6] 蒋秋俊, 郑海涛, 杨庆山, 等. 基于网格-坐标化遗传算法的风电场布局优化[J]. 太阳能学报, 2022, 43(8): 266-272.
JIANG Q J, ZHENG H T, YANG Q S, et al.Wind farm layout optimization based on grid-coordinate genetic algorithm[J]. Acta energiae solaris sinica, 2022, 43(8): 266-272.
[7] CHEN J, ZHANG Y, XU Z Y, et al.Flow characteristics analysis and power comparison for two novel types of vertically staggered wind farms[J]. Energy, 2023, 263: 126141.
[8] SMITH M M, BENTRUP G, KELLERMAN T, et al.Windbreaks in the United States: a systematic review of producer-reported benefits, challenges, management activities and drivers of adoption[J]. Agricultural systems, 2021, 187: 103032.
[9] JONKMAN J, BUTTERFIELD S, MUSIAL W, et al.Definition of a 5-MW reference wind turbine for offshore system development[J]. Contract, 2009(February): 1-75.