干旱区生态环境知识资源中心(Arid): Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China

Arid

DOI	10.5194/amt-15-757-2022
	Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China
	Zhou, Shaohui; Yang, Yuanjian; Gao, Zhiqiu; Xi, Xingya; Duan, Zexia; Li, Yubin
通讯作者	Yang, YJ ; Gao, ZQ (corresponding author)，Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, China Meteorol Adm,Key Lab Aerosol Cloud Precipit, Nanjing 210044, Peoples R China. ; Gao, ZQ (corresponding author)，Chinese Acad Sci, Inst Atmospher Phys, Key Lab Atmospher Boundary Layer Phys & Atmospher, Beijing 100029, Peoples R China.
来源期刊	ATMOSPHERIC MEASUREMENT TECHNIQUES
ISSN	1867-1381
EISSN	1867-8548
出版年	2022
卷号	15 期号:3 页码:757-773
英文摘要	A complex and varied terrain has a great impact on the distribution of wind energy resources, resulting in uncertainty in accurately assessing wind energy resources. In this study, three wind speed distributions of kernel, Weibull, and Rayleigh type for estimating average wind power density were first compared by using meteorological tower data from 2018 to 2020 under varied desert steppe terrain contexts in northern China. Then three key parameters of scale factor (c) and shape factor (k) from the Weibull model and surface roughness (z(0)) were investigated for estimating wind energy resource. The results show that the Weibull distribution is the most suitable wind speed distribution over that terrain. The scale factor (c) in theWeibull distribution model increases with an increase in height, exhibiting an obvious form of power function, while there were two different forms for the relationship between the shape factor (k) and height: i.e., the reciprocal of the quadratic function and the logarithmic function, respectively. The estimated roughness length (z(0)) varied with the withering period, the growing period, and the lush period, which can be represented by the estimated median value in each period. The maximum and minimum values of surface roughness length over the whole period are 0.15 and 0.12 m, respectively. The power-law model and the logarithmic model are used to estimate the average power density values at six specific heights, which show greater differences in autumn and winter, and smaller differences in spring and summer. The gradient of the increase in average power density values with height is largest in autumn and winter, and smallest in spring and summer. Our findings suggest that dynamic changes in three key parameters (c, k, and z(0)) should be accurately considered for estimating wind energy resources under varied desert steppe terrain contexts.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000758158400001
WOS关键词	DETERMINING WEIBULL PARAMETERS ; NUMERICAL-METHODS ; SOUTHERN REGION ; SPEED ; DISTRIBUTIONS ; ROUGHNESS
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376302
作者单位	[Zhou, Shaohui; Yang, Yuanjian; Gao, Zhiqiu; Duan, Zexia; Li, Yubin] Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, China Meteorol Adm,Key Lab Aerosol Cloud Precipit, Nanjing 210044, Peoples R China; [Gao, Zhiqiu] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Atmospher Boundary Layer Phys & Atmospher, Beijing 100029, Peoples R China; [Xi, Xingya] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equip, Sch Environm Sci & Engn, Nanjing 210044, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Shaohui,Yang, Yuanjian,Gao, Zhiqiu,et al. Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China[J],2022,15(3):757-773.
APA	Zhou, Shaohui,Yang, Yuanjian,Gao, Zhiqiu,Xi, Xingya,Duan, Zexia,&Li, Yubin.(2022).Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China.ATMOSPHERIC MEASUREMENT TECHNIQUES,15(3),757-773.
MLA	Zhou, Shaohui,et al."Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China".ATMOSPHERIC MEASUREMENT TECHNIQUES 15.3(2022):757-773.