Statistical analysis of wind characteristics and wind energy potential in Hong Kong

被引:151
作者
Shu, Z. R. [1 ]
Li, Q. S. [1 ]
Chan, P. W. [2 ]
机构
[1] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Hong Kong, Peoples R China
[2] Hong Kong Observ, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Wind characteristics; Wind energy potential assessment; Renewable energy; Statistical analysis; Weibull distribution function; Weibull parameter; Wind speed; Wind power density; Hong Kong; WEIBULL PARAMETERS; STORAGE TECHNOLOGIES; SPEED DISTRIBUTIONS; NUMERICAL-METHODS; POWER; OPTIMIZATION; GENERATION; REGION; BUS;
D O I
10.1016/j.enconman.2015.05.070
中图分类号
O414.1 [热力学];
学科分类号
摘要
The harvesting of renewable energy sources has become increasingly important to take account of the gradual decline of fossil fuel reserves and the environment degradation associated with the use of fossil fuels. Wind energy, as one of the most well-known renewable energy sources, has been extensively harnessed across the world. Nevertheless, the wind energy exploitation in Hong Kong is still rare. Based on 6-year wind data recorded at five meteorological stations with different terrain conditions, this study presents a statistical analysis of the wind characteristics and wind energy potential at typical sites in Hong Kong by the assistance of Weibull distribution model. The variations of mean wind speed, as well as Weibull parameters, were highlighted on various timescales. Among all the sites, the annual Weibull scale parameter varied from 2.85 m/s to 10.19 m/s, and the range of the annual shape parameter was 1.65-1.99. The highest Weibull scale parameter was observed at a hilltop, whilst the lowest was found at an urban site. The monthly variation of wind power density was presented and discussed for each site. Hilltops and offshore islands demonstrated prominently greater wind power density than urban areas. It was thus indicated that hilltops and offshore islands are the most promising locations for wind energy exploitation in Hong Kong. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:644 / 657
页数:14
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