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Analysis of Wind Energy Potential in North East Nigeria

Received: 11 July 2014     Accepted: 28 July 2014     Published: 10 August 2014
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Abstract

This research reports wind energy potential evaluation of two locations in the north east Nigeria (Bauchi and Borno). The evaluation is based on Weibull and Rayleigh models using 17 years mean monthly wind speed data covering the period (1990-2006). The result shows that Rayleigh is best fit model that describes the wind speed data at 10 m height. Reference mean power density (based on the measured probability distribution) was compared with those obtained from the Weibull and Rayleigh models. In calculating the percentage error, results shows that Weibull provided better power density estimation in all 12 months than the Rayleigh model. From this research work, it was found that Borno has high wind power density 273.16 W/m2 for Weibull and 365.77 W/m2 for Rayleigh in the month of June as compared Bauchi with highest power density of 31.45 W/m2 for Weibull and 37.06 W/m2 for Rayleigh in the month of May.

Published in Journal of Energy and Natural Resources (Volume 3, Issue 4)
DOI 10.11648/j.jenr.20140304.11
Page(s) 46-50
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), 2014. Published by Science Publishing Group

Keywords

Wind Energy Potential, Nigeria, Generation, Weibull, Rayleigh, Probability Density Function

References
[1] Ahmed A., Adisa AA, Habou D. An evaluation of wind energy potential in the northern and southern regions of Nigeria on the basis of Weibull and Rayleigh models. America Journal of Energy Engineering 2013; 1: 37 – 42.
[2] Ahmed Shata AS, Hanistsch R. The potential of electricity generation on the east coast of Red Sea in Egypt. Renewable Energy 2006; 31: 1597 – 625.
[3] Ahmed SA. Investigation of wind characteristics and wind energy potential at RAS Ghareb, Egypt. Renewable and Sustainable Energy Reviews 2011; 15: 2750 – 5.
[4] Akpinar EK, Akpinar S. Determination of the wind energy potential for Maden-Elazig, Turkey. Energy Conversion and Management 2004; 45: 2901-14.
[5] Brano VL, Orioli A, Ciulla G, Culotta S. Quality of wind speed fitting distributions for the urban area of Palermo, Italy. Renewable Energy 2011; 36:1026 – 39.
[6] Celik AN. On the distributional parameters used in assessment of the suitability of wind speed probability density functions. Energy Conversion and Management 2004; 45: 1735 – 47.
[7] Celik AN. A statistical analysis of wind power density based on the Weibull and Rayleigh Models at the southern region of Turkey. Renewable Energy 2004; 29:593 – 604.
[8] Celik AN. Assessing the suitability of wind speed probability distribution functions based on the wind power density. Renewable Energy 2003; 28:1563 -1574.
[9] Oztopal A, Sahin AD, Akgun N, Sen Z. On the regional wind energy potential of Turkey. Energy 2000; 25: 189 – 200.
[10] Sambo AS. The renewable energy for rural development. The Nigerian perspective “ISESCO” Science and Technology vision May, 2005; 1:16 -18.
[11] Salem AL. Characteristics of surface wind speed and direction over Egypt Solar Energy for sustainable development 2004; 4: 491 – 499.
[12] Seguro JV, Lambert TW. Modern estimation of the parameters of the Weibull wind speed distribution for wind speed distribution for wind energy analysis. J Wind Eng Ind Aerodyn 2000; 85: 75 – 84.
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Cite This Article
  • APA Style

    A. Ahmed, A. A. Bello, D. Habou. (2014). Analysis of Wind Energy Potential in North East Nigeria. Journal of Energy and Natural Resources, 3(4), 46-50. https://doi.org/10.11648/j.jenr.20140304.11

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    ACS Style

    A. Ahmed; A. A. Bello; D. Habou. Analysis of Wind Energy Potential in North East Nigeria. J. Energy Nat. Resour. 2014, 3(4), 46-50. doi: 10.11648/j.jenr.20140304.11

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    AMA Style

    A. Ahmed, A. A. Bello, D. Habou. Analysis of Wind Energy Potential in North East Nigeria. J Energy Nat Resour. 2014;3(4):46-50. doi: 10.11648/j.jenr.20140304.11

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  • @article{10.11648/j.jenr.20140304.11,
      author = {A. Ahmed and A. A. Bello and D. Habou},
      title = {Analysis of Wind Energy Potential in North East Nigeria},
      journal = {Journal of Energy and Natural Resources},
      volume = {3},
      number = {4},
      pages = {46-50},
      doi = {10.11648/j.jenr.20140304.11},
      url = {https://doi.org/10.11648/j.jenr.20140304.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20140304.11},
      abstract = {This research reports wind energy potential evaluation of two locations in the north east Nigeria (Bauchi and Borno). The evaluation is based on Weibull and Rayleigh models using 17 years mean monthly wind speed data covering the period (1990-2006). The result shows that Rayleigh is best fit model that describes the wind speed data at 10 m height. Reference mean power density (based on the measured probability distribution) was compared with those obtained from the Weibull and Rayleigh models. In calculating the percentage error, results shows that Weibull provided better power density estimation in all 12 months than the Rayleigh model. From this research work, it was found that Borno has high wind power density 273.16 W/m2 for Weibull and 365.77 W/m2 for Rayleigh in the month of June as compared Bauchi with highest power density of 31.45 W/m2 for Weibull and 37.06 W/m2 for Rayleigh in the month of May.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Analysis of Wind Energy Potential in North East Nigeria
    AU  - A. Ahmed
    AU  - A. A. Bello
    AU  - D. Habou
    Y1  - 2014/08/10
    PY  - 2014
    N1  - https://doi.org/10.11648/j.jenr.20140304.11
    DO  - 10.11648/j.jenr.20140304.11
    T2  - Journal of Energy and Natural Resources
    JF  - Journal of Energy and Natural Resources
    JO  - Journal of Energy and Natural Resources
    SP  - 46
    EP  - 50
    PB  - Science Publishing Group
    SN  - 2330-7404
    UR  - https://doi.org/10.11648/j.jenr.20140304.11
    AB  - This research reports wind energy potential evaluation of two locations in the north east Nigeria (Bauchi and Borno). The evaluation is based on Weibull and Rayleigh models using 17 years mean monthly wind speed data covering the period (1990-2006). The result shows that Rayleigh is best fit model that describes the wind speed data at 10 m height. Reference mean power density (based on the measured probability distribution) was compared with those obtained from the Weibull and Rayleigh models. In calculating the percentage error, results shows that Weibull provided better power density estimation in all 12 months than the Rayleigh model. From this research work, it was found that Borno has high wind power density 273.16 W/m2 for Weibull and 365.77 W/m2 for Rayleigh in the month of June as compared Bauchi with highest power density of 31.45 W/m2 for Weibull and 37.06 W/m2 for Rayleigh in the month of May.
    VL  - 3
    IS  - 4
    ER  - 

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

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

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

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