Availability of wind energy resource potential for power generation at Jos, Nigeria

doi:10.1007/s11708-011-0167-5

Front Energ

0, Vol.

Issue () : 376-385 https://doi.org/10.1007/s11708-011-0167-5

RESEARCH ARTICLE

Availability of wind energy resource potential for power generation at Jos, Nigeria

O. O. Ajayi¹(

), R. O. Fagbenle², J. Katende³, J. O. Okeniyi¹

1. Mechanical Engineering Department, Covenant University, Ota 112101, Nigeria; 2. Mechanical Engineering Department, Obafemi Awolowo University, Ile Ife 220282, Nigeria; 3. Electrical and Information Engineering Department, Covenant University, Ota 112101, Nigeria

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Abstract

The objective of this study was to assess the potential viability of the wind resource potential in Jos, Plateau state, Nigeria for power generation. The monthly mean wind speeds that span from 1987 to 2007 were employed to statistically analyze the monthly, annual and seasonal potentials of the wind energy resources at the site. Besides, the results were employed together with two models of wind energy conversion system to simulate the likely average output power. The outcome showed that Jos was suitable as a site for wind farm projects of varying sizes and that MW·h to GW·h of electricity is likely to be produced per period of months, seasons and years. The average wind speed range at the site was also estimated to be between 6.7 and 11.8 m/s across the months, years and seasons.

Keywords green electricity renewable resources Weibull statistics Jos Nigeria

Corresponding Author(s): Ajayi O. O.,Email:oluseyi.ajayi@covenantuniversity.edu.ng

Issue Date: 05 December 2011

Cite this article:

O. O. Ajayi,R. O. Fagbenle,J. Katende, et al. Availability of wind energy resource potential for power generation at Jos, Nigeria[J]. Front Energ, 0, (): 376-385.

URL:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-011-0167-5
https://academic.hep.com.cn/fie/EN/Y0/V/I/376

Fig.1 21 years’ average monthly wind speeds

Fig.2 21 years’ average annual wind speeds

Fig.3 Measure of occurrence of measured wind speed data at the site (=[0, 2), =[2, 4), =[4,6), =[6, 8), =[8, 10), =[10, 12))

Fig.4 Seasonal and annual values of average wind speed across the period

Tab.1 Some Weibull results for the whole 21 years

Fig.5 CDF for monthly wind speed distribution

Fig.6 PDF for monthly wind speed distribution

Fig.7 CDF for seasonal wind speed distribution

Fig.8 PDF for seasonal wind speed distribution

Fig.9 CDF of annual data series

Fig.10 PDF of annual data series

Fig.11 Degree of accuracy of Weibull prediction performance per month

Fig.12 Degree of accuracy of Weibull prediction performance per annum

Fig.13 Predictive ability of Weibull distribution for monthly wind speed distributions

Fig.14 Predictive ability of Weibull distribution for annual wind speed distributions

Fig.15 Comparison periodic most probable and maximum energy carrying wind speeds

Fig.16 Comparison of annual most probable and maximum energy carrying wind speeds

Fig.17 Periodic variation of power density

Fig.18 Annual variation of power density

Tab.2 Technical data of wind turbine machines used in analysis (GE, 2009)

Tab.3 Results from simulating electrical power output with wind turbine models

Fig.19 Wind power curves for turbine machine models of GE Energy (GE, 2009) employed

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