alexa Assessment of Wind Energy Potential for Small Communities in South-South Nigeria: Case Study of Koluama, Bayelsa State
ISSN: 2090-4541

Journal of Fundamentals of Renewable Energy and Applications
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Research Article

Assessment of Wind Energy Potential for Small Communities in South-South Nigeria: Case Study of Koluama, Bayelsa State

Akintomide Afolayan Akinsanola1,2*, Kehinde Olufunso Ogunjobi2, Akintayo T Abolude1, Stefano C Sarris1and Kehinde O Ladipo2

1School of Energy and Environment, City University of Hong Kong, Hong SAR, China

2Department of Meteorology and Climate Science, Federal University of Technology Akure, Nigeria

*Corresponding Author:
Akintomide Afolayan Akinsanola
Department of Meteorology and Climate Science
Federal University of Technology Akure
Ondo 340001, Nigeria
Tel: 2348067112428
E-mail: [email protected]; [email protected]

Received Date: January 30, 2017; Accepted Date: February 20, 2017; Published Date: February 22, 2017

Citation: Akinsanola AA, Ogunjobi KO, Abolude AT, Sarris SC, Ladipo KO (2017) Assessment of Wind Energy Potential for Small Communities in South-South Nigeria: Case Study of Koluama, Bayelsa State. J Fundam Renewable Energy Appl 7:227. doi:10.4172/20904541.1000227

Copyright: © 2017 Akinsanola AA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Although the concept of wind energy potential assessments has matured considerably, there is only limited application and adoption in regions of energy crisis where electricity demand far exceeds supply. For Nigeria, seeking alternate sources of energy to meet its energy demand is essential and must be met in a sustainable practice. This study analyzed the electricity generation potential from wind at Koluama, Bayelsa State, Nigeria using a combination of 10-m monthly mean wind speed and direction data (1984-2013) and five year daily wind speed data (2009-2013). The data were subjected to different statistical tests and also compared with the two-parameter Weibull probability density function. Maximum mean day of year (DOY) wind speed recorded was 5.25 m/s and minimum wind speed was 0.92 m/s, while seasonal mean wind speed during the dry months (DJF) is estimated to be 4.05 m/s and 4.32 m/s during the wet months of June, July August and September (JJAS) for the 30-year period considered. Wind power density (WPD) ranged from 82 W/m2 to 145 W/m2 in November and August respectively. Lastly, small scale wind-to-electricity power generation was assessed using six (6) practical wind turbines. The AV 928 turbine had the maximum energy yield, despite relatively low capacity factor of less than 10%.


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