University Links: Home Page | Site Map
Covenant University Repository

Wind energy potential for power generation of a local site in Gusau, Nigeria

Ajayi, Oluseyi O. and Fagbenle, R. O. and Katende, James and Okeniyi, Joshua Olusegun and Omotosho, O. A. (2010) Wind energy potential for power generation of a local site in Gusau, Nigeria. International Journal of Energy for a Clean Environment, 11 (1-4). pp. 99-116. ISSN 2150-3621

[img] PDF - Published Version
Download (18kB)

Abstract

This study was used to evaluate the wind energy potential of a meteorological site in Gusau, the capital city of Zamfara state, in Nigeria. Twenty-one years (1987-2007) of three-hourly monthly mean wind data from the Nigeria Meteorological Department were assessed and subjected to two-parameter Weibull and other statistical analyses to determine the resource potential of the site for periods of months, seasons, and years. Attempts were made to compare the mean measured data with estimated data, and the Kolmogorov-Smirnov statistics were employed to show the site's wind profile's consistence with Weibull two-parameter distribution. The results showed that the monthly values of k and c ranged between 3.9 ≤ 7.9 and 4.0 ≤ 8.3, respectively, with over 80% of all the data having values ranging between 5 and 10 m/s or more. Most probable and maximum energy-carrying wind speeds also were found to be between 3.7 and 7.7 m/s and 4.5 and 9.3 m/s, respectively, across the period. Estimated wind power densities also ranged from 69.0 (in October) to 626.2 W/m2 (in January) at 10 m height. Seasonally, the dry season experiences higher wind speeds and the period of highest wind energy harvest could be from January to June every year. © 2010 by Begell House, Inc.

Item Type: Article
Uncontrolled Keywords: Clean energy; Gusau-Nigeria; Weibull analysis; Wind power; Wind speed data
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QC Physics
T Technology > T Technology (General)
T Technology > TD Environmental technology. Sanitary engineering
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Faculty of Engineering, Science and Mathematics > School of Mathematics
Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User: Dr Joshua Olusegun Okeniyi
Date Deposited: 15 Aug 2016 13:05
Last Modified: 17 Apr 2018 09:30
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6883

Actions (login required)

View Item View Item