Wind Profile Characteristics and Econometrics Analysis of Wind Power Generation of a Site in Sokoto State, Nigeria

O. O. Ajayi, O R. Fagbenle, J Katende

Abstract


Abstract: This study assessed the viability of wind electricity production at a local meteorological site in Sokoto State, Nigeria. 21 years monthly mean wind speed data at 10 m height obtained from the Nigerian meteorological station were employed to carry out monthly, seasonal, yearly and whole years wind profile characteristics. The data were subjected to the Weibull 2-parameter and other statistical analyses. The econometrics analysis of wind electricity generation from the site was also studied using three wind turbine models of AV 928, V90 and SWT-3.6-107. The outcome showed that the wind speed data ranged from 2.4 to 12.1 m/s while the modal wind speed range was from 6.9 to 9.0 m/s. 98% of the data were found to be greater than 3.0 m/s and better potential exist for wind power generation in the dry season than in the wet. It was also discovered that potential exist for electricity generation of between 60.0MWh and 1.5GWh per month and between 2.1 and 10.8GWh per annum. The least cost of generating 1kWh of wind electricity with the turbine models at the site is estimated to be € 0.014.
Key words: Wind power; Turbine cost; Cost per kWh; Weibull distribution; Sokoto; Nigeria

Keywords


Wind power; Turbine cost; Cost per kWh; Weibull distribution; Sokoto; Nigeria

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References


Ojosu, J. O., & Salawu, R. I. (1990a). A survey of wind energy potential in Nigeria. Solar and Wind Technology, 7(2 and 3), 155-167.

Ojosu, J.O., & Salawu, R.I. (1990b). An evaluation of wind energy potential as a power generation source in Nigeria’. Solar and Wind Technology, 7(6), 663-673.

Adekoya, L.O., & Adewale, A.A. (1992). Wind energy potential of Nigeria. Renewable Energy, 2(1), 35-39.

Fagbenle, R.O., & Karayiannis, T.G. (1994). On the wind energy resources of Nigeria. International Journal of Energy research, 18(5), 493-508.

Energy Commission of Nigeria and United Nations Development Programme (ECN-UNDP) (2005). Renewable energy master plan: final draft report, available online. Retrieved from http://www.iceednigeria.org /REMP%20Final%20Report.pdf, accessed 17 June 2007

Asiegbu, A.D., & Iwuoha, G.S. (2007). Studies of wind resources in Umudike, South East Nigeria – An assessment of economic viability. Journal of Engineering and Applied sciences, 2(10), 1539-1541.

Fadare, D.A. A. (2008). Statistical analysis of wind energy potential in Ibadan, Nigeria, based on weibull distribution function. The PacificJournal of science and technology, 9(1), 110-119.

Fagbenle, R.O, Katende, J, Ajayi, O.O., & Okeniyi, J.O. (2011). Assessment of wind energy potential of two sites in North - East, Nigeria. Renewable Energy, 36, 1277 – 1283.

Ogbonnaya, I.O, Chikuni, & E. Govender, P. (2011). Prospect of wind energy in Nigeria. Retrieved from http://active.cput.ac.za/energy/web/due/papers/2007/023O_Okoro.pdf, accessed May 12, 2011.

Lahmeyer (International) Consultants (2005). Report on Nigeria wind power mapping projects. Federal Ministry of Science and Technology, 37-51.

Carta, J.A., Ramı´rez, P, & Vela´zquez, S. (2009). A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands. Renewable and Sustainable Energy Reviews, 13, 933–955.

Akpinar, E.K., & Akpinar, S. (2005a). A statistical analysis of wind speed data used in installation of wind energy conversion systems. Energy Conversion and Management, 46, 515–532.

Kamau, J.N. Kinyua, R., & Gathua, J.K. (2009). 6 years of wind data for Marsabit, Kenya average over 14 m/s at 100 m hub height: An analysis of the wind energy potential. Renewable Energy, 35 (6), 1298 – 1302.

Keyhani A, Ghasemi-Varnamkhasti M, Khanali M, & Abbaszadeh, R. (2010). An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran. Energy, 35, 188-201.

Montgomery, D.C, & Runger, G.C. (2003). Applied Statistics and Probability for Engineers (3rd ed). New Jersey : Wiley.

Krause P, Boyle DP, & Bäse F. (2005). Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 5, 89–97.

Omotosho, O.A., Okeniyi, J.O., & Ajayi, O.O. (2010). Performance evaluation of potassium dichromate and potassium chromate inhibitors on concrete steel rebar corrosion. Journal of Failure Analysis and Prevention, 10 (5): 408 – 415.

Akpinar, E.K., & Akpinar, S. (2005b). An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics. Energy Conversion and Management, 46, 1848–1867.

Rehman, S., & Ahmed, A. (2005). Assessment of wind energy potential for coastal locations of the kingdom of Saudi Arabia. Energy, 29, 1105-1115.

Ahmed Shata, & A.S. Hanitsch, R. (2006). Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt. Renewable Energy, 31, 1183-1200.

Oztopal, A. Sahin, A.D. Akgun, & N. Sen, Z. (2000). On the regional wind energy potential of Turkey. Energy, 25, 189-200.




DOI: http://dx.doi.org/10.3968/j.est.1923847920110102.006

DOI (PDF): http://dx.doi.org/10.3968/g1609

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