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An Evaluation of Wind Energy Potential in the Northern and Southern Regions of Nigeria on the Basis of Weibull and Rayleigh Models

Received: 19 August 2013     Published: 20 September 2013
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Abstract

This paper presents an evaluation of wind energy potential in the northern and southern region of Nigeria on the basis of Weibull and Rayleigh models. The aim of this study is to know which of the locations in the regions would have more wind power density where wind energy conversion system (WECS) could be installed for electricity generation in Nigeria with excellent percentage of clean energy. From the analysis of the wind speed data collected from Nigeria meteorological station, Abuja at 10m height from years (1990 – 2006) the locations in northern region of Nigeria that were found quite viable for electricity generation are (Jos, Kano, Sokoto and Maiduguri) while for the southern region of Nigeria are (Lagos and Enugu). These locations were found to have wind power density above 100W/m2. The Weibull model was found to be more applicable in estimating the power density because it returns a lower percentage error than the Rayleigh model. Probability density function in the northern region has a peak value of 1.01795 and 0.2937 in Bauchi for both Weibull and Rayleigh respectively while for the southern region the probability density function has a peak value for Weibull as 0.8347 in Calabar and Rayleigh as 0.2341 in Rivers southern region of Nigeria.

Published in American Journal of Energy Engineering (Volume 1, Issue 3)
DOI 10.11648/j.ajee.20130103.11
Page(s) 37-42
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), 2013. Published by Science Publishing Group

Keywords

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

References
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[3] Ahmed Shata AS, Hanitsch R. Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea Egypt. Renewable Energy 2006; 31:1183-202.
[4] 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.
[5] 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.
[6] 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.
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[8] Ojosu JO, Salawu RI. A statistical analysis of wind energy potential for power generation in Nigeria. Journal of Solar Energy 1989; 8: 273 - 288.
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  • APA Style

    Abdullahi Ahmed, Adisa Ademola Bello, Dandakuta Habou. (2013). 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, 1(3), 37-42. https://doi.org/10.11648/j.ajee.20130103.11

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    ACS Style

    Abdullahi Ahmed; Adisa Ademola Bello; Dandakuta Habou. An Evaluation of Wind Energy Potential in the Northern and Southern Regions of Nigeria on the Basis of Weibull and Rayleigh Models. Am. J. Energy Eng. 2013, 1(3), 37-42. doi: 10.11648/j.ajee.20130103.11

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    AMA Style

    Abdullahi Ahmed, Adisa Ademola Bello, Dandakuta Habou. An Evaluation of Wind Energy Potential in the Northern and Southern Regions of Nigeria on the Basis of Weibull and Rayleigh Models. Am J Energy Eng. 2013;1(3):37-42. doi: 10.11648/j.ajee.20130103.11

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  • @article{10.11648/j.ajee.20130103.11,
      author = {Abdullahi Ahmed and Adisa Ademola Bello and Dandakuta Habou},
      title = {An Evaluation of Wind Energy Potential in the Northern and Southern Regions of Nigeria on the Basis of Weibull and Rayleigh Models},
      journal = {American Journal of Energy Engineering},
      volume = {1},
      number = {3},
      pages = {37-42},
      doi = {10.11648/j.ajee.20130103.11},
      url = {https://doi.org/10.11648/j.ajee.20130103.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajee.20130103.11},
      abstract = {This paper presents an evaluation of wind energy potential in the northern and southern region of Nigeria on the basis of Weibull and Rayleigh models. The aim of this study is to know which of the locations in the regions would have more wind power density where wind energy conversion system (WECS) could be installed for electricity generation in Nigeria with excellent percentage of clean energy. From the analysis of the wind speed data collected from Nigeria meteorological station, Abuja at 10m height from years (1990 – 2006) the locations in  northern region of Nigeria that were found quite viable for electricity generation are (Jos, Kano, Sokoto and Maiduguri) while for the southern region of Nigeria are (Lagos and Enugu). These locations were found to have wind power density above 100W/m2. The Weibull model was found to be more applicable in estimating the power density because it returns a lower percentage error than the Rayleigh model. Probability density function in the northern region has a peak value of 1.01795 and 0.2937 in Bauchi for both Weibull and Rayleigh respectively while for the southern region the probability density function has a peak value for Weibull as 0.8347 in Calabar and Rayleigh as 0.2341 in Rivers southern region of Nigeria.},
     year = {2013}
    }
    

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  • TY  - JOUR
    T1  - An Evaluation of Wind Energy Potential in the Northern and Southern Regions of Nigeria on the Basis of Weibull and Rayleigh Models
    AU  - Abdullahi Ahmed
    AU  - Adisa Ademola Bello
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    DO  - 10.11648/j.ajee.20130103.11
    T2  - American Journal of Energy Engineering
    JF  - American Journal of Energy Engineering
    JO  - American Journal of Energy Engineering
    SP  - 37
    EP  - 42
    PB  - Science Publishing Group
    SN  - 2329-163X
    UR  - https://doi.org/10.11648/j.ajee.20130103.11
    AB  - This paper presents an evaluation of wind energy potential in the northern and southern region of Nigeria on the basis of Weibull and Rayleigh models. The aim of this study is to know which of the locations in the regions would have more wind power density where wind energy conversion system (WECS) could be installed for electricity generation in Nigeria with excellent percentage of clean energy. From the analysis of the wind speed data collected from Nigeria meteorological station, Abuja at 10m height from years (1990 – 2006) the locations in  northern region of Nigeria that were found quite viable for electricity generation are (Jos, Kano, Sokoto and Maiduguri) while for the southern region of Nigeria are (Lagos and Enugu). These locations were found to have wind power density above 100W/m2. The Weibull model was found to be more applicable in estimating the power density because it returns a lower percentage error than the Rayleigh model. Probability density function in the northern region has a peak value of 1.01795 and 0.2937 in Bauchi for both Weibull and Rayleigh respectively while for the southern region the probability density function has a peak value for Weibull as 0.8347 in Calabar and Rayleigh as 0.2341 in Rivers southern region of Nigeria.
    VL  - 1
    IS  - 3
    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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