Techno-economic evaluation of wind energy in southwest Nigeria

doi:10.1007/s11708-012-0205-y

Front Energ

0, Vol.

Issue () : 366-378 https://doi.org/10.1007/s11708-012-0205-y

RESEARCH ARTICLE

Techno-economic evaluation of wind energy in southwest Nigeria

Muyiwa S. ADARAMOLA¹, Olarenwaju M. OYEWOLA², Olayinka S. OHUNAKIN³(

), Rufus R. DINRIFO⁴

1. Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim 7030, Norway; 2. Department of Mechanical Engineering, University of Ibadan, Oyo State 23402, Nigeria; 3. Mechanical Engineering Department, Covenant University, Ogun State 11001, Nigeria; 4. School of Engineering, Lagos State Polytechnic, Lagos 23401, Nigeria

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Abstract

In this study, an analysis of the wind energy potential in the southwest geo-political region of Nigeria was conducted. A 37-year (1971–2007) wind speed data set measured at 10 m height, obtained from eight meteorological stations within the region was analyzed using a 2-parameter Weibull function. Besides, a techno-economic evaluation of large wind energy conversion systems with power ratings ranging from 0.6 to 2 MW at different hub heights based on the levelized unit cost of electricity was made for the different sites considered. The result showed that electricity cost varied from 0.06997 and 0.11195 $/(kW·h) to 2.86611 and 4.58578 $/(kW·h) at limit values of turbine specific cost band intervals of 1000 and 1600 $/kW. It was further shown that Lagos, having the highest accumulated power outputs of 430.10 kW/a from DeWind D7 at 70 m hub height, is the most preferred for economically usable power generation in terms of the levelized unit cost.

Keywords mean wind speed Weibull distributions wind turbine techno-economic analysis southwest geopolitical region Nigeria

Corresponding Author(s): OHUNAKIN Olayinka S.,Email:olayinka.ohunakin@covenantuniversity.edu.ng

Issue Date: 05 December 2012

Cite this article:

Muyiwa S. ADARAMOLA,Olayinka S. OHUNAKIN,Rufus R. DINRIFO, et al. Techno-economic evaluation of wind energy in southwest Nigeria[J]. Front Energ, 0, (): 366-378.

URL:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-012-0205-y
https://academic.hep.com.cn/fie/EN/Y0/V/I/366

Tab.1 Cost of wind turbines based on rated power []

Tab.2 Monthly and seasonal variations of wind characteristics in all locations at height 10 m

Fig.1 Monthly variation of mean wind speeds for the selected locations

Fig.2 Monthly variations of wind speeds at two synoptical hours of 9:00 and 15:00 for (a)Lagos; (b) Ibadan; (c) Ijebu-Ode; (d) Ikeja; (e) Ondo; (f) Abeokuta; (g) Oshogbo; and (h) Akure

Tab.3 Monthly variations of Weibull shape and scale parameters together with standard deviation (, and

Tab.4 Monthly and seasonal variations of mean power density and energy for all locations at height 10 m

Tab.5 Characteristics of selected wind turbines

Tab.6 Accumulated annual power and energy outputs together with capacity factor of selected wind turbines for locations at respective hub heights

Tab.7 Cost analysis per kWh for WECS in selected locations

Fig.3 Effect of operating and maintenance escalation rate on LCOE for selected wind turbines in Lagos site (a) Specific unit cost turbine= 1000$/kW; (b) Specific unit cost turbine= 1600$/kW

1	G?k?ek M, Erdem H H, Bayülken A. A techno-economical evaluation for installation of suitable wind energy plants in Western Marmara, Turkey. Energy Exploration and Exploitation , 2007, 25(6): 407–427 doi: 10.1260/014459807783791791
2	Ohunakin O S. Energy utilization and renewable energy sources in Nigeria. Journal of Engineering and Applied Science , 2010, 5(2): 171–177 doi: 10.3923/jeasci.2010.171.177
3	Sambo A S. Renewable energy electricity in Nigeria: The way forward. In: Proceedings of the Renewable Electricity Policy Conference. Abuja, Nigeria , 2006
4	Global Wind Energy Council (GWEC). Global Wind Report: Annual Market Update 2010. 2010
5	Pam G Y. Water pumping potential of the 5 m Poldaw wind pump in Jos, Kano and Sokoto. In: Proceedings of the 20th National Mechanical Engineering Conference, Nigerian Institution of Mechanical Engineers. Kaduna, Nigeria , 2007
6	G?k?ek M, Gen? M S. Evaluation of electricity generation and energy cost of wind energy conversion systems (WECSs) in Central Turkey. Applied Energy , 2009, 86(12): 2731–2739 doi: 10.1016/j.apenergy.2009.03.025
7	Hanitsch R, Ahmed Shata A S. Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt. Renewable Energy , 2006, 31(8): 1183–1202 doi: 10.1016/j.renene.2005.06.015
8	Nouni M R, Mullick S C, Kandpal T C. Techno-economics of small wind electric generator projects for decentralized power supply in India. Energy Policy , 2007, 35(4): 2491–2506 doi: 10.1016/j.enpol.2006.08.011
9	Anyanwa E E, Iwuagwu C J. Wind characteristics and energy potentials for Owerri, Nigeria. Renewable Energy , 1995, 6(2): 125–128 doi: 10.1016/0960-1481(94)00028-5
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 Science , 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	Ohunakin O S. Assessment of wind energy resources for electricity generation using WECS in North-Central region, Nigeria. Renewable & Sustainable Energy Reviews , 2011, 15(4): 1968–1976 doi: 10.1016/j.rser.2011.01.001
13	Ojosu J O, Salawu R I. A survey of wind energy potential in Nigeria. Solar and Wind Technology , 1990, 7(2,3): 155–167
14	Adekoya L O, Adewale A A. Wind energy potential of Nigeria. Renewable Energy , 1992, 2(1): 35–39 doi: 10.1016/0960-1481(92)90057-A
15	Fagbenle R L, Karayiannis T G. On the wind energy resource of Nigeria. International Journal of Energy Research , 1994, 18(5): 493–508 doi: 10.1002/er.4440180502
16	Chineke T C. Boosting electricity supply in Nigeria: Wind energy to the rescue? Pacific Journal of Science and Technology , 2009, 10(2): 553–560
17	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 doi: 10.1016/j.apenergy.2009.09.005
18	Ohunakin O S, Adaramola M S, Oyewola O M. Wind energy evaluation for electricity generation using WECS in seven selected locations in Nigeria. Applied Energy , 2011, 88(9): 3197–3206 doi: 10.1016/j.apenergy.2011.03.022
19	Ngala G M, Alkali B, Aji M A. Viability of wind energy as a power generation source in Maiduguri, Borno state, Nigeria. Renewable Energy , 2007, 32(13): 2242–2246 doi: 10.1016/j.renene.2006.12.016
20	Nigeria AICP. Avian influenza control and human pandemic preparedness and response Project . 2007-12, http://www.aicpnigeria.org/documents/AICP%20Baseline%20Survey.pdf
21	Justus C G, Hargraves W R, Mikhail A, Graber D. Methods for estimating wind speed frequency distributions. Journal of Applied Meteorology , 1978, 17(3): 350–353 doi: 10.1175/1520-0450(1978)017<0350:MFEWSF>2.0.CO;2
22	Fyrippis I, Axaopoulos P J, Panayiotou G. Wind energy potential assessment in Naxos Island, Greece. Applied Energy , 2010, 87(2): 577–586 doi: 10.1016/j.apenergy.2009.05.031
23	Bagiorgas H S, Assimakopoulos M N, Theoharopoulos D, Matthopoulos D, Mihalakakou G K. Electricity generation using wind energy conversion systems in the area of Western Greece. Energy Conversion and Management , 2007, 48(5): 1640–1655 doi: 10.1016/j.enconman.2006.11.009
24	Ucar A, Balo F. Evaluation of wind energy potential and electricity generation at six locations in Turkey. Applied Energy , 2009, 86(10): 1864–1872 doi: 10.1016/j.apenergy.2008.12.016
25	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
26	Dahmouni A W, BenSalah M, Askri F, Kerkeni C, BenNasrallah S. Assessment of wind energy potential and optimal electricity generation in Borj-Cedria, Tunisia. Renewable & Sustainable Energy Reviews , 2011, 15(1): 815–820 doi: 10.1016/j.rser.2010.07.020
27	Morthorst P E. Cost and Price, Wind Energy—The Facts, vol. 2. Brussels, Belgium: The European Wind Energy Association, 2004
28	Mathew S. Wind Energy: Fundamentals, Resource Analysis and Economics. Heidelberg: Springer, 2006
29	Celik A N. A techno-economic analysis of wind energy in southern Turkey. International Journal of Green Energy , 2007, 4(3): 233–247 doi: 10.1080/15435070701338358
30	Hearps P, McConell D. Renewable Energy Technology Cost Review. Technical Paper Series, Melbourne Energy Institute , 2011
31	CIA. CIA World Factbook-The Library of Congress Country Studies: Nigeria Climate. 2011-04-03, http://www.photius.com/countries/nigeria/climate/nigeria_climate_climate.html
32	Adaramola M S, Paul S S, Oyedepo S O. Assessment of electricity generation and energy cost of wind energyconversion systems in north-central Nigeria. Energy Conversion and Management , 2011, 52(12): 3363–3368 doi: 10.1016/j.enconman.2011.07.007

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