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

Abdullahi Ahmed; Adisa Ademola Bello; Dandakuta Habou

doi:doi:10.11648/j.ajee.20130103.11

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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

Abdullahi Ahmed, Adisa Ademola Bello, Dandakuta Habou

Published in American Journal of Energy Engineering (Volume 1, Issue 3)

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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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
AU  - Dandakuta Habou
Y1  - 2013/09/20
PY  - 2013
N1  - https://doi.org/10.11648/j.ajee.20130103.11
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

Abdullahi Ahmed

Department of Mechanical Engineering, Kano University of Science and Technology, Wudil, Nigeria
Adisa Ademola Bello

Department of Mechanical Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Dandakuta Habou

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

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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}
}

Copy | Download

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
AU  - Dandakuta Habou
Y1  - 2013/09/20
PY  - 2013
N1  - https://doi.org/10.11648/j.ajee.20130103.11
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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