Techno - Economic assessment of wind power potential of Hawke's Bay using Weibull parameter: A review

• Published in: Energy strategy reviews Vol. 26; p. 100375
• Main Authors: Hulio, Zahid Hussain, Jiang, Wei, Rehman, S.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-11-2019; Elsevier
• Subjects: Capacity factor; Weibull parameters; Wind characteristics; Wind power density; Wind shear; Capacity factor; Wind characteristics; Weibull parameters; Wind power density; Wind shear
• ISSN: 2211-467X; 2211-467X
• DOI: 10.1016/j.esr.2019.100375

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/m2 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.
•The site specific wind energy potential is analysed which showed site is suitable for energy generation.•A brief review is carried out on the applications of Weibull distribution function for evaluation of wind resource assessment.•The economic assessment showed energy can be generated at the lowest cost per kWh.•The wind resource assessment showed that Hawke's bay site can helpful to generate at the lowest cost/kWh.