The aim of this study is to establish the wind power potential for the wind energy resource in Enugu, south east Nigeria. For this purpose, monthly wind speed data were obtained at 10m height from Nigeria Meteorological station NIMET, Abuja for the period (1990 – 2006). The monthly average values of wind speed, standard deviation, Weibull parameters and wind power were determined. The Weibull and Rayleigh probability density function and the cumulative distribution function respectively were also evaluated. The results show that this region, according to wind power classification is in wind power class II because values of wind power density is greater than 100W/m2. From the results obtained electricity generation from wind power is quite promising for the installation of wind turbines.
Published in | American Journal of Modern Energy (Volume 2, Issue 6) |
DOI | 10.11648/j.ajme.20160206.15 |
Page(s) | 58-62 |
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. |
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Copyright © The Author(s), 2017. Published by Science Publishing Group |
Power Density, Nigeria, Wind Class, Rayleigh, Weibull
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APA Style
A. Ahmed. (2017). An Assessment of Wind Power Density in South East Nigeria, Enugu. American Journal of Modern Energy, 2(6), 58-62. https://doi.org/10.11648/j.ajme.20160206.15
ACS Style
A. Ahmed. An Assessment of Wind Power Density in South East Nigeria, Enugu. Am. J. Mod. Energy 2017, 2(6), 58-62. doi: 10.11648/j.ajme.20160206.15
@article{10.11648/j.ajme.20160206.15, author = {A. Ahmed}, title = {An Assessment of Wind Power Density in South East Nigeria, Enugu}, journal = {American Journal of Modern Energy}, volume = {2}, number = {6}, pages = {58-62}, doi = {10.11648/j.ajme.20160206.15}, url = {https://doi.org/10.11648/j.ajme.20160206.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajme.20160206.15}, abstract = {The aim of this study is to establish the wind power potential for the wind energy resource in Enugu, south east Nigeria. For this purpose, monthly wind speed data were obtained at 10m height from Nigeria Meteorological station NIMET, Abuja for the period (1990 – 2006). The monthly average values of wind speed, standard deviation, Weibull parameters and wind power were determined. The Weibull and Rayleigh probability density function and the cumulative distribution function respectively were also evaluated. The results show that this region, according to wind power classification is in wind power class II because values of wind power density is greater than 100W/m2. From the results obtained electricity generation from wind power is quite promising for the installation of wind turbines.}, year = {2017} }
TY - JOUR T1 - An Assessment of Wind Power Density in South East Nigeria, Enugu AU - A. Ahmed Y1 - 2017/01/16 PY - 2017 N1 - https://doi.org/10.11648/j.ajme.20160206.15 DO - 10.11648/j.ajme.20160206.15 T2 - American Journal of Modern Energy JF - American Journal of Modern Energy JO - American Journal of Modern Energy SP - 58 EP - 62 PB - Science Publishing Group SN - 2575-3797 UR - https://doi.org/10.11648/j.ajme.20160206.15 AB - The aim of this study is to establish the wind power potential for the wind energy resource in Enugu, south east Nigeria. For this purpose, monthly wind speed data were obtained at 10m height from Nigeria Meteorological station NIMET, Abuja for the period (1990 – 2006). The monthly average values of wind speed, standard deviation, Weibull parameters and wind power were determined. The Weibull and Rayleigh probability density function and the cumulative distribution function respectively were also evaluated. The results show that this region, according to wind power classification is in wind power class II because values of wind power density is greater than 100W/m2. From the results obtained electricity generation from wind power is quite promising for the installation of wind turbines. VL - 2 IS - 6 ER -