High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings

doi:10.1016/j.renene.2021.05.011

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings
	Xu, Wenhao 1,3,4; Li, Ye 2,3,4; Li, Gaohua 1; Li, Shoutu 2; Zhang, Chen 1; Wang, Fuxin 1
刊名	RENEWABLE ENERGY
	2021-10
卷号	176 页码:25-39
关键词	Vertical axis wind turbine Urban area Array Building Computational fluid dynamic
ISSN号	0960-1481
DOI	10.1016/j.renene.2021.05.011
英文摘要	Vertical axis wind turbines can harvest wind energy from every direction, and they are suitable for the complex flow conditions in urban areas. The flow field around buildings consists some high speed re-gions, and the blockage effect can provide higher wind velocity. Meanwhile, they can be installed at a certain altitude with no interference to pedestrians and vehicles. In this paper, we investigate the characteristics of wind turbines in an array by arranging them between two buildings. For this aim, a high-resolution numerical simulation method is adopted to simulate the accurate flow field and force coefficients. The high-resolution numerical simulation method is composed of adaptive mesh refinement and overset grid techniques. Firstly, there are two array types with wind turbines uniformly arranged in a line, which is perpendicular to the free stream. The result shows that array type A with asymmetric wake achieves a greater mean power coefficient. It reveals that the wake matching phenomenon of array type B causes a loss of wind energy between each couple. Secondly, five column positions between the two buildings are arranged in different positions. The five positions correspond to different flow conditions, and they belong to three typical processes: contraction acceleration process, uniform velocity process, and expansion deceleration process. When mounting array type A in contraction acceleration or expansion deceleration regions, the velocity profile is non-uniform along with the array. The power coefficients of wind turbines in one array are significantly different from each other. The array in the contraction acceleration region reaches the maximum mean power coefficient. Thirdly, in order to evaluate the influence of wind directions in urban area, there are four cases with different wind di-rections. The simulation results show that the array at alpha(infinity) = 15 degrees obtains the maximum mean power coefficient. In summary, the mean output power of the wind turbine array in urban areas is always greater than that of a single wind turbine. (C) 2021 Elsevier Ltd. All rights reserved.
WOS研究方向	Science & Technology - Other Topics ; Energy & Fuels
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000660493000003
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148870]
专题	土木工程学院能源与动力工程学院
作者单位	1.Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai 200240, Peoples R China; 2.Lanzhou Univ Technol, Sch Energy & Power Engn, Lanzhou 730050, Peoples R China 3.Shanghai Jiao Tong Univ, Multifunct Towing Tank, Shanghai 200240, Peoples R China; 4.Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China;
推荐引用方式 GB/T 7714	Xu, Wenhao,Li, Ye,Li, Gaohua,et al. High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings[J]. RENEWABLE ENERGY,2021,176:25-39.
APA	Xu, Wenhao,Li, Ye,Li, Gaohua,Li, Shoutu,Zhang, Chen,&Wang, Fuxin.(2021).High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings.RENEWABLE ENERGY,176,25-39.
MLA	Xu, Wenhao,et al."High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings".RENEWABLE ENERGY 176(2021):25-39.