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An Assessment of Wind Energy Resource in North Central Nigeria, Plateau

Received: 15 September 2013    Accepted:     Published: 10 November 2013
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Abstract

In this paper, the wind data for Plateau North Central Nigeria was collected at 10m height for seven years (2000-2006) at meteorological station Abuja. The assessment for the site is gaining importance for the installation of an appropriate wind turbine at the location. The highest wind speed for this location was found to be 15.4m/s in January and the lowest wind speed is 8.7m/s in August within the period of years considered. The study was carried out using the Weibull parameters scale (c m/s) and shape (k) factors and result obtained for these parameters have an average value of 10.76m/s and 7.47 respectively. These values indicate that the wind would be useful for power generation over a longer period. The power density for this location varies between 368 and 1056W/m2, this also shows that Plateau is a good location for wind power generation.

Published in Science Journal of Energy Engineering (Volume 1, Issue 3)
DOI 10.11648/j.sjee.20130103.11
Page(s) 13-17
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 Speed, Wind Power, Plateau, Weibull Distribution, Shape and Scale Factors

References
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[2] 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.
[3] Durisic Z, Mikulovic J. Assessment of the wind energy resource in the south Banat region Serbia. Renewable and Sustainable Energy Reviews 2012; 16: 3014 – 3023.
[4] Alsaad M.A. Wind energy potential in selected areas of Jordan. Energy Conversion and Management 2013; 65: 704 – 708.
[5] Ojosu JO, Salawu RI: A statistical analysis of wind energy potential for power generation in Nigeria. Solar and Wind Technology 1990; 7: 155 - 167.
[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 - 1747.
[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] Salem AL. Characteristics of surface wind speed and direction over Egypt .Solar Energy F or Sustainable Development 2001;44: 491 – 499.
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Cite This Article
  • APA Style

    A. Ahmed, A. El-Suleiman, A. Nasir. (2013). An Assessment of Wind Energy Resource in North Central Nigeria, Plateau. Science Journal of Energy Engineering, 1(3), 13-17. https://doi.org/10.11648/j.sjee.20130103.11

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    ACS Style

    A. Ahmed; A. El-Suleiman; A. Nasir. An Assessment of Wind Energy Resource in North Central Nigeria, Plateau. Sci. J. Energy Eng. 2013, 1(3), 13-17. doi: 10.11648/j.sjee.20130103.11

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    AMA Style

    A. Ahmed, A. El-Suleiman, A. Nasir. An Assessment of Wind Energy Resource in North Central Nigeria, Plateau. Sci J Energy Eng. 2013;1(3):13-17. doi: 10.11648/j.sjee.20130103.11

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  • @article{10.11648/j.sjee.20130103.11,
      author = {A. Ahmed and A. El-Suleiman and A. Nasir},
      title = {An Assessment of Wind Energy Resource in North Central Nigeria, Plateau},
      journal = {Science Journal of Energy Engineering},
      volume = {1},
      number = {3},
      pages = {13-17},
      doi = {10.11648/j.sjee.20130103.11},
      url = {https://doi.org/10.11648/j.sjee.20130103.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20130103.11},
      abstract = {In this paper, the wind data for Plateau North Central Nigeria was collected at 10m height for seven years (2000-2006) at meteorological station Abuja. The assessment for the site is gaining importance for the installation of an appropriate wind turbine at the location. The highest wind speed for this location was found to be 15.4m/s in January and the lowest wind speed is 8.7m/s in August within the period of years considered. The study was carried out using the Weibull parameters scale (c m/s) and shape (k) factors and result obtained for these parameters have an average value of 10.76m/s and 7.47 respectively. These values indicate that the wind would be useful for power generation over a longer period. The power density for this location varies between 368 and 1056W/m2, this also shows that Plateau is a good location for wind power generation.},
     year = {2013}
    }
    

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    AU  - A. Ahmed
    AU  - A. El-Suleiman
    AU  - A. Nasir
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    T2  - Science Journal of Energy Engineering
    JF  - Science Journal of Energy Engineering
    JO  - Science Journal of Energy Engineering
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    PB  - Science Publishing Group
    SN  - 2376-8126
    UR  - https://doi.org/10.11648/j.sjee.20130103.11
    AB  - In this paper, the wind data for Plateau North Central Nigeria was collected at 10m height for seven years (2000-2006) at meteorological station Abuja. The assessment for the site is gaining importance for the installation of an appropriate wind turbine at the location. The highest wind speed for this location was found to be 15.4m/s in January and the lowest wind speed is 8.7m/s in August within the period of years considered. The study was carried out using the Weibull parameters scale (c m/s) and shape (k) factors and result obtained for these parameters have an average value of 10.76m/s and 7.47 respectively. These values indicate that the wind would be useful for power generation over a longer period. The power density for this location varies between 368 and 1056W/m2, this also shows that Plateau is a good location for wind power generation.
    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 Technology, Federal Polytechnic Nasarawa, Nigeria

  • Department of Mechanical Engineering, Federal University of Technology Minna, Nigeria

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