Frontiers in Energy

, Volume 5, Issue 4, pp 376–385 | Cite as

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

  • O. O. AjayiEmail author
  • R. O. Fagbenle
  • J. Katende
  • J. O. Okeniyi
Research Article


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.


green electricity renewable resources Weibull statistics Jos Nigeria 


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  1. 1.
    Youm I, Sarr J, Sall M, Ndiaye A, Kane MM. Analysis of wind data and wind energy potential along the northern coast of Senegal. Renewable Energy Review, 2005, 8: 95–108Google Scholar
  2. 2.
    Sørensen H C, Larsen J H, Olsen F A, Svenson J, Hansen S R. Middelgrunden 40MW offshore wind farm, a prestudy for the Danish offshore 750MW wind program. In: Proceedings of 10th ISOPE Conference. Seattle, USA, 2000Google Scholar
  3. 3.
    Manwell J F, Rogers A, McGowan J G. Assessment of the massachusetts offshore wind energy resource. In: European Wind Energy Conference. Copenhagen, 2001Google Scholar
  4. 4.
    Henderson A R, Morgan C, Barthelmie R, Smith B, Sørensen H C, Boesmans B. Offshore wind energy—Review of the state-of-the-art. In: Proceedings of the 12th International Offshore and Polar Engineering Conference. Kitakyushu, Japan, 2002, 494–498Google Scholar
  5. 5.
    Stiebler M. Wind Energy Systems for Electric Power Generation. Berlin: Springer, 2008Google Scholar
  6. 6.
    Ajayi O O. The potential for wind energy in Nigeria. Wind Engineering, 2010, 34(3): 303–311CrossRefGoogle Scholar
  7. 7.
    Energy Commission of Nigeria and United Nations Development Programme (ECN-UNDP). Renewable Energy Master Plan: Final Draft Report. 2007-06-17,
  8. 8.
    Federal Ministry of Power and Steel. Federal Republic of Nigeria. Renewable Electricity Action Porgramme (REAP). 2010-10-01,
  9. 9.
    Ajayi O O. Assessment of utilization of wind energy resources in Nigeria. Energy Policy, 2009, 37(2): 720–723CrossRefGoogle Scholar
  10. 10.
    Asiegbu A D, Iwuoha G S. Studies of wind resources in Umudike, South East Nigeria — An assessment of economic viability. Journal of Engineering and Applied Sciences, 2007, 2(10): 1539–1541Google Scholar
  11. 11.
    Fadare D A. A Statistical analysis of wind energy potential in Ibadan, Nigeria, based on Weibull distribution function. Pacific Journal of Science and Technology, 2008, 9(1): 110–119Google Scholar
  12. 12.
    Ogbonnaya I O, Chikuni E, Govender P. Prospect of Wind Energy in Nigeria. 2009-07-16,
  13. 13.
    Fadare D A. The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria. Applied Energy, 2010, 87(3): 934–942CrossRefGoogle Scholar
  14. 14.
    Akpabio L E, Udo S O, Etuk S E. Modelling global solar irradiation for a tropical location: Onne, Nigeria. Turkish Journal of Physics, 2005, 29(1): 63–68Google Scholar
  15. 15.
    Keyhani A, Ghasemi-Varnamkhasti M, Khanali M, Abbaszadeh R. An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran. Energy, 2010, 35(1): 188–201CrossRefGoogle Scholar
  16. 16.
    Akpinar E K, Akpinar S. An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics. Energy Conversion and Management, 2005, 46(11,12): 1848–1867CrossRefGoogle Scholar
  17. 17.
    Carta J A, Ramı’rez P, Vela’zquez S. A review of wind speed probability distributions used in wind energy analysis. Renewable & Sustainable Energy Reviews, 2009, 13(5): 933–955CrossRefGoogle Scholar
  18. 18.
    Murthy D N P, Xie M, Jiang R. Weibull Models (Wiley Series in Probability and Statistics). New Jersey: Wiley, 2004Google Scholar
  19. 19.
    Izquierdo D, Alonso C, Andrade C, Castellote M. Potentiostatic determination of chloride threshold values for rebar depassivation: Experimental and statistical study. Electrochimica Acta, 2004, 49(17,18): 2731–2739CrossRefGoogle Scholar
  20. 20.
    Roberge P R. Statistical Interpretation of Corrosion Test Results. In: Corrosion: Fundamentals, Testing, and Protection, ASM Handbook, Vol 13A. Russell Township, USA: ASM International, 2003, 425–429Google Scholar
  21. 21.
    Roberge P R. Handbook of Corrosion Engineering. New York: McGraw-Hill, 2000Google Scholar
  22. 22.
    Omotosho O A, Okeniyi J O, Ajayi O O. Performance evaluation of potassium dichromate and potassium chromate inhibitors on concrete steel rebar corrosion. Journal of Failure Analysis and Prevention, 2010, 10(5): 408–415CrossRefGoogle Scholar
  23. 23.
    Polyanin A D, Manzhirov A V. Handbook of Mathematics for Engineers and Scientists. Boca Raton: Chapman & Hall/CRC, 2007zbMATHGoogle Scholar
  24. 24.
    Soong T T. Fundamentals of Probability and Statistics for Engineers. England: Wiley, 2004zbMATHGoogle Scholar
  25. 25.
    Lipson C, Sheth N J. Statistical Design and Analysis of Engineering Experiments. New York: McGraw-Hill, 1973Google Scholar
  26. 26.
    Montgomery D C, Runger G C. Applied Statistics and Probability for Engineers. 3rd ed. New Jersey: Wiley, 2003Google Scholar
  27. 27.
    Krause P, Boyle D P, Bäse F. Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 2005, 5: 89–97CrossRefGoogle Scholar
  28. 28.
    Fagbenle R O, Katende J, Ajayi O O, Okeniyi J O. Assesment of wind energy potential of two sites in North-East, Nigeria. Renewable Energy, 2011, 36(4): 1277–1283CrossRefGoogle Scholar
  29. 29.

Copyright information

© Higher Education Press and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • O. O. Ajayi
    • 1
    Email author
  • R. O. Fagbenle
    • 2
  • J. Katende
    • 3
  • J. O. Okeniyi
    • 1
  1. 1.Mechanical Engineering DepartmentCovenant UniversityOtaNigeria
  2. 2.Mechanical Engineering DepartmentObafemi Awolowo UniversityIle IfeNigeria
  3. 3.Electrical and Information Engineering DepartmentCovenant UniversityOtaNigeria

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