Availability of wind energy resource potential for power generation at Jos, Nigeria
Received date: 17 Jul 2011
Accepted date: 05 Sep 2011
Published date: 05 Dec 2011
Copyright
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.
Key words: green electricity; renewable resources; Weibull statistics; Jos; Nigeria
O. O. Ajayi , R. O. Fagbenle , J. Katende , J. O. Okeniyi . Availability of wind energy resource potential for power generation at Jos, Nigeria[J]. Frontiers in Energy, 0 , 5(4) : 376 -385 . DOI: 10.1007/s11708-011-0167-5
1 |
Youm I, Sarr J, Sall M, Ndiaye A, Kane M M. Analysis of wind data and wind energy potential along the northern coast of Senegal. Renewable Energy Review, 2005, 8: 95–108
|
2 |
Sørensen H C, Larsen J H, Olsen F A, Svenson J, Hansen S R. Middelgrunden 40 MW offshore wind farm, a prestudy for the Danish offshore 750 MW wind program. In: Proceedings of 10th ISOPE Conference. Seattle, USA, 2000
|
3 |
Manwell J F, Rogers A, McGowan J G. Assessment of the massachusetts offshore wind energy resource. In: European Wind Energy Conference. Copenhagen, 2001
|
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, 494–498
|
5 |
Stiebler M. Wind Energy Systems for Electric Power Generation. Berlin: Springer, 2008
|
6 |
Ajayi O O. The potential for wind energy in Nigeria. Wind Engineering, 2010, 34(3): 303–311
|
7 |
Energy Commission of Nigeria and United Nations Development Programme (ECN-UNDP). Renewable Energy Master Plan: Final Draft Report. 2007–<month>06</month>–<day>17</day>, http://www.iceednigeria.org /REMP%20Final%20Report.pdf
|
8 |
Federal Ministry of Power and Steel. Federal Republic of Nigeria. Renewable Electricity Action Porgramme (REAP). 2010–<month>10</month>–<day>01</day>, http://www.iceednigeria.org/REAP-postconference.pdf
|
9 |
Ajayi O O. Assessment of utilization of wind energy resources in Nigeria. Energy Policy, 2009, 37(2): 720–723
|
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): 1539–1541
|
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): 110–119
|
12 |
Ogbonnaya I O, Chikuni E, Govender P. Prospect of Wind Energy in Nigeria. 2009–<month>07</month>–<day>16</day>, http://active.cput.ac.za/energy/web/due/papers/2007/023O_Okoro.pdf
|
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): 934–942
|
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): 63–68
|
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): 188–201
|
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): 1848–1867
|
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): 933–955
|
18 |
Murthy D N P, Xie M, Jiang R. Weibull Models (Wiley Series in Probability and Statistics). New Jersey: Wiley, 2004
|
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): 2731–2739
|
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, 425–429
|
21 |
Roberge P R. Handbook of Corrosion Engineering. New York: McGraw-Hill, 2000
|
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): 408–415
|
23 |
Polyanin A D, Manzhirov A V. Handbook of Mathematics for Engineers and Scientists. Boca Raton: Chapman & Hall/CRC, 2007
|
24 |
Soong T T. Fundamentals of Probability and Statistics for Engineers. England: Wiley, 2004
|
25 |
Lipson C, Sheth N J. Statistical Design and Analysis of Engineering Experiments. New York: McGraw-Hill, 1973
|
26 |
Montgomery D C, Runger G C. Applied Statistics and Probability for Engineers. 3rd ed. New Jersey: Wiley, 2003
|
27 |
Krause P, Boyle D P, Bäse F. Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 2005, 5: 89–97
|
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): 1277–1283
|
29 |
Energy G E. 1.5 MW Wind Turbine. 2010–<month>09</month>–<day>29</day>, http://www.ge-energy.com/prod_serv/products/wind_turbines/en/downloads/GEA14954C15-MW-Broch.pdf
|
/
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