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An Investigation of Wind Characteristics and Techno-Economic Evaluation of Wind Energy in Nigeria

Received: 8 October 2013    Accepted:     Published: 20 October 2013
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Abstract

In this study, wind characteristics and techno-economic analysis in six selected locations in the northern (Jos, Kano, Sokoto and Maiduguri) and southern (Lagos and Enugu) regions of Nigeria using wind speed data at 10m height collected over a period of seventeen years (1990-2006) were analyzed. The techno-economic evaluations of electricity generation from four commercial wind turbine models used for electricity generation located at these sites were evaluated. The wind speed data analysis shows that the sites evaluated are good locations for wind potential in electricity generation from wind. The yearly energy output, the capacity factor and the wind energy cost per unit of electricity generated by the selected wind turbines are calculated. In terms of energy production, the results show that Plateau is best location for harnessing wind power for electricity generation with an average wind power density of 713.95W/m2. The maximum energy output was obtained for De wind 48 turbine model. The capacity factor values are found to vary from a minimum of 21% to maximum of 28% for this research work. The results also shows that the cost per kWh of electricity generation using these turbines is between 0.493 – 0.606$kWh.

Published in International Journal of Energy and Power Engineering (Volume 2, Issue 5)
DOI 10.11648/j.ijepe.20130205.11
Page(s) 184-190
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Wind Energy, Weibull Parameters, Capacity Factor, Energy Production

References
[1] Maatallah T, El Alimi S, Dahmouni AW, Ben Nasrallah S. Wind power assessment and evaluation of electricity generation in the Gulf of Tunis, Tunisia. Sustainable Cities and Society 2013; 6: 1-10.
[2] Ucar A, Balo F. Investigation of wind characteristics and assessment of wind-generation potentiality in Uludag- Bursa, Turkey. Applied Energy 2009; 86: 333-339.
[3] Balat M. A review of modern wind turbine. Energy Sources 2009; 31(17):1561-1572.
[4] Ahmed A, Bello AA, Dandakouta H. An evaluation of wind energy potential in the northern and southern regions of Nigeria on the basis of Weibull and Rayleigh models. American Journal of Energy Engineering 2013; 3: 37- 42.
[5] Diaf S, Notton G. Evaluation of electricity generation and energy cost of wind energy conversion systems in southern Algeria. Renewable and Sustainable Energy Reviews 2013; 23: 379-390.
[6] Gass V, Schmidt J, Strauss F, Schmid E. Assessing the economic of wind power potential in Austria. Energy Policy 2013; 53: 323-330.
[7] Adaramola MS, Paul SS, Oyedepo SO. Assessment of electricity generation and energy cost of wind energy conversion systems in north-central Nigeria. Energy Conversion and Management, 2011, 52 (12): 3363-3368.
[8] Adaramola MS, Oyewola MO, Ohunakin OS, Dinrifo RR. Techno-economic evaluation of wind energy inn southwest Nigeria. Front Energy, 2012, 6 (4): 366-378.
[9] Sedaghat A, Mirhosseini M. Aerodynamic design of a 300kW horizontal axis wind turbine for province of Semnan. Energy Conversion and Management 2012; 63: 87-94.
[10] Diaf S, Notton G. Technical and economic analysis of large-scale wind energy conversion systems in Algeria. Renewable and Sustainable Energy Reviews 2013; 19: 37-51.
[11] Felix AA, Akinbulire TO, Abdulkareem A, Awosope COA. Wind energy potential in Nigeria. International Electrical Engineering Journal 2012; 3(1): 595-601.
[12] Emani N, Behbani-Nia A. The statistical evaluation of wind speed and power density in the Firouzkouh region in Iran. Energy Sources 2012; 34(12): 1076-1083.
[13] Durisic Z, Mikulovic J. Assessment of the wind energy resources in the south Banat region, Serbia Renewable and Sustainable Energy Reviews 2012; 16: 3014-3023.
[14] Ulgen K, Hepbasli A. Determination of Weibull parameter for wind energy analysis of Izmir, Turkey. International Journal of Energy Research 2002; 26:495-506.
[15] Wu J, Wang J, Chi D. Wind energy potential assessment for the site of Inner Mongolia in China. Renewable and Sustainable Energy Reviews 2013; 21: 215-228.
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  • APA Style

    A. Ahmed, A. A. Bello, D. Habou. (2013). An Investigation of Wind Characteristics and Techno-Economic Evaluation of Wind Energy in Nigeria. International Journal of Energy and Power Engineering, 2(5), 184-190. https://doi.org/10.11648/j.ijepe.20130205.11

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    ACS Style

    A. Ahmed; A. A. Bello; D. Habou. An Investigation of Wind Characteristics and Techno-Economic Evaluation of Wind Energy in Nigeria. Int. J. Energy Power Eng. 2013, 2(5), 184-190. doi: 10.11648/j.ijepe.20130205.11

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    AMA Style

    A. Ahmed, A. A. Bello, D. Habou. An Investigation of Wind Characteristics and Techno-Economic Evaluation of Wind Energy in Nigeria. Int J Energy Power Eng. 2013;2(5):184-190. doi: 10.11648/j.ijepe.20130205.11

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  • @article{10.11648/j.ijepe.20130205.11,
      author = {A. Ahmed and A. A. Bello and D. Habou},
      title = {An Investigation of Wind Characteristics and Techno-Economic Evaluation of Wind Energy in Nigeria},
      journal = {International Journal of Energy and Power Engineering},
      volume = {2},
      number = {5},
      pages = {184-190},
      doi = {10.11648/j.ijepe.20130205.11},
      url = {https://doi.org/10.11648/j.ijepe.20130205.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20130205.11},
      abstract = {In this study, wind characteristics and techno-economic analysis in six selected locations in the northern (Jos, Kano, Sokoto and Maiduguri) and southern (Lagos and Enugu) regions of Nigeria using wind speed data at 10m height collected over a period of seventeen years (1990-2006) were analyzed. The techno-economic evaluations of electricity generation from four commercial wind turbine models used for electricity generation located at these sites were evaluated. The wind speed data analysis shows that the sites evaluated are good locations for wind potential in electricity generation from wind. The yearly energy output, the capacity factor and the wind energy cost per unit of electricity generated by the selected wind turbines are calculated. In terms of energy production, the results show that Plateau is best location for harnessing wind power for electricity generation with an average wind power density of 713.95W/m2. The maximum energy output was obtained for De wind 48 turbine model. The capacity factor values are found to vary from a minimum of 21% to maximum of 28% for this research work. The results also shows that the cost per kWh of electricity generation using these turbines is between 0.493 – 0.606$kWh.},
     year = {2013}
    }
    

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  • TY  - JOUR
    T1  - An Investigation of Wind Characteristics and Techno-Economic Evaluation of Wind Energy in Nigeria
    AU  - A. Ahmed
    AU  - A. A. Bello
    AU  - D. Habou
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    N1  - https://doi.org/10.11648/j.ijepe.20130205.11
    DO  - 10.11648/j.ijepe.20130205.11
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
    SP  - 184
    EP  - 190
    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.20130205.11
    AB  - In this study, wind characteristics and techno-economic analysis in six selected locations in the northern (Jos, Kano, Sokoto and Maiduguri) and southern (Lagos and Enugu) regions of Nigeria using wind speed data at 10m height collected over a period of seventeen years (1990-2006) were analyzed. The techno-economic evaluations of electricity generation from four commercial wind turbine models used for electricity generation located at these sites were evaluated. The wind speed data analysis shows that the sites evaluated are good locations for wind potential in electricity generation from wind. The yearly energy output, the capacity factor and the wind energy cost per unit of electricity generated by the selected wind turbines are calculated. In terms of energy production, the results show that Plateau is best location for harnessing wind power for electricity generation with an average wind power density of 713.95W/m2. The maximum energy output was obtained for De wind 48 turbine model. The capacity factor values are found to vary from a minimum of 21% to maximum of 28% for this research work. The results also shows that the cost per kWh of electricity generation using these turbines is between 0.493 – 0.606$kWh.
    VL  - 2
    IS  - 5
    ER  - 

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Author Information
  • Department of Mechanical Engineering, Kano University of Science and Technology, Wudil

  • Department of Mechanical Engineering, Abubakar Tafawa Balewa University, Bauchi

  • Department of Mechanical Engineering, Abubakar Tafawa Balewa University, Bauchi

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