![]() |
个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:英国Wolverhampton大学
学位:博士
所在单位:机械工程学院
学科:机械设计及理论. 机械制造及其自动化
办公地点:机械大方楼9017
电子邮箱:jiangwei@dlut.edu.cn
Techno - Economic assessment of wind power potential of Hawke's Bay using Weibull parameter: A review
点击次数:
论文类型:期刊论文
发表时间:2019-11-01
发表刊物:ENERGY STRATEGY REVIEWS
收录刊物:EI、SCIE
卷号:26
ISSN号:2211-467X
关键字:Wind characteristics; Weibull parameters; Wind shear; Wind power density; Capacity factor
摘要:The purpose of this work is to assess the wind characteristics and wind power potential of Hawke's bay site. The wind parameters of site have been used to calculate the wind power density, annual energy yield, and capacity factors at 30, 60 and 80 m. The five different methods including empirical, maximum likelihood modified maximum likelihood, energy pattern, and graphical methods are used to obtain the Weibull parameters. The exactness of the five methods is obtained by correlation coefficient and root mean square error values between the measurements and the estimates. The results of all methods including empirical, maximum likelihood, modified maximum likelihood and energy pattern observed to be better fit except graphical method. Also economic assessment per kWh of energy has been carried out. The site specific wind shear coefficient is found to be 0.18 using wind speed values at 30, 60 and 80 m. The annual mean wind speeds were 6.05, 5.84 and 5.40 m/s at 80, 60 and 30 m heights with corresponding standard deviations of 2.32, 2.24 and 2.01. The mean wind power densities were 307.5, 231.5 and 184.0 W/m(2) at respective heights. According to the economic assessment, the wind turbine C (2300 kW) is able to produce power at the lowest price of US$ 0.056/kWh. The results are showing the appropriateness of methodology for assessing the wind speed and economic assessment at the lowest price of energy.