Investigation of Wind Energy Resource on the Basis of Weibull and Rayleigh Models in North Eastern and Western, Nigeria

Abdullahi Ahmed,Bashir Isyaku Kunya

doi:10.11648/j.ajae.20190601.15

Abdullahi Ahmed, Bashir Isyaku Kunya

Open Access

https://doi.org/10.11648/j.ajae.20190601.15

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Abstract

This study is aimed to investigate wind energy resource on the basis of Weibull and Rayleigh models in north eastern (Bauchi and Maiduguri) and western (Kano and Sokoto) Nigeria, seventeen years (2000-2016) monthly wind speed data were collected from Nigeria meteorological station, Abuja at 10m height. The probability distribution function (pdf) of wind speed is very important tool needed in wind energy resource investigation, since wind power is proportional to the cube of wind speed. The Weibull parameters shape (k) and scale (c) for the four locations were determined and the values obtained for shape factors in Bauchi and Maiduguri range from 6.91 to 7.21 and Sokoto and Kano range from 9.27 to 10.68, while scale factors is in the range of 3.46 to 7.24 and 9.32 to 11.24, respectively. The Weibull model was found to be better fit than the Rayleigh model in analyzing the wind speed data. The north western part of Nigeria was found to have higher wind power density as compared to the north eastern part of the country.

Highlights

Wind energy is one of the most significant and rapidly developing renewable energy sources all over the world because of its cheapest forms of energy available today
The analysis shows that wind turbine can generate up to 97MWh/year [9]
It was observed that the Weibull model returns higher error as compared to the Rayleigh model, this show that the Weibull model is best fit in the locations considered in the study

Summary

Introduction

Wind energy is one of the most significant and rapidly developing renewable energy sources all over the world because of its cheapest forms of energy available today. Fossil fuel usage, environmental effects and continuous increase in the conventional energy resources has rendered wind energy costs to economically attractive levels and wind energy farms are being considered as alternative energy source in many enterprises [1]. Wind energy is an efficient renewable energy, because it does not involve the use of any fossil fuels or non-renewable sources of energy like natural gas, coal or oil. It is green energy because it causes no carbon emissions creating less pollution [3]. The problem being faced is that some of the wind turbines have failed completely or performed below expectation especially in developing countries because the installed wind turbine system do not match up with the site in which machines are been installed [4]

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