Evaluation of Wind Energy Potentials in Some Selected Areas in the Six Geo-Political Regions in Nigeria

Richard, Ogbonna Nnaemeka; Eseosa, Omorogiuwa

doi:10.46610/joares.2022.v08i01.004

Cited by 3 publications

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“…Although there are some wind power classification studies across Nigeria, all the existing studies have focused mainly on onshore sites (Fatigun, et al, 2017;Ben et al, 2021;Richard and Eseosa, 2022). Those that assessed and exposed the potential and economic viability of wind power variability along the coastal and offshore locations are scanty or non-existent.…”

Section: Present Studymentioning

confidence: 99%

Assessment of the wind energy potential and economic viability of selected sites along Nigeria’s coastal and offshore locations

et al. 2023

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Wind energy is a promising sector in the power generation industry because it is renewable and globally available. In this research work, the wind energy potential and the economic viability of using wind turbines to generate electricity in some selected sites along Nigeria’s coastline and offshore locations were evaluated. Using the statistical two-parameter Weibull probability density function method, wind speed data retrieved from an indigenous oceanography company and global information system (GIS) were analyzed for wind energy harvest. The energy output, unit cost of electricity generated by three commercially available wind turbine models (3 MW, 4 MW, and 6 MW), net present value (NPV), and payback period were evaluated. Levelized cost of electricity (LCOE) sensitivity to the discount rate, foundation cost, and turbine lifespan were also examined. The findings from the study showed that the offshore sites have four times greater wind power potential than the coastal sites. The offshore sites can be categorized as “class IIIb” wind sites, making the locations suitable for wind energy harvest. The techno-economic analysis showed that the net gains from investing in a 60-MW wind farm in the region can be as high as $62,000,000.00, while the project payback time can be as low as 5.74 years. Two of the offshore sites are recommended for the development of an offshore wind farm in the country because of their relatively low LCOE (0.04 $/kWh), higher NPV, and lower investment payback time. The Vesta-117 model wind turbine is the most suitable wind turbine system and recommended for use in the region because of its low cut-in speed (3 m/s). Sensitivity analysis showed that the LCOE of offshore-01 was reduced by 31% when the lifespan of the V117 turbine was increased from 20 to 25 years. The results also showed that reductions in the discount rate and foundation cost positively affect the LCOE.

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Section: Present Studymentioning

confidence: 99%

Assessment of the wind energy potential and economic viability of selected sites along Nigeria’s coastal and offshore locations

et al. 2023

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“…In these studies, statistical models which include Rayleigh, Weibull distribution, linear and multiple regression models, artificial neural network, and seasonal auto-regression moving average have been adopted to model wind speed (Fadare, 2008). Richard and Eseosa (2022) 2022) investigated the wind speed data collected from the Anyigba region in Kogi State, Nigeria, to evaluate its potential for wind energy generation. The study utilizes statistical analysis methods such as the Weibull and Rayleigh models to determine the wind speed distribution and energy potential of the region.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Wind Energy Potential in Omu Aran, Nigeria Using Weibull and Rayleigh Models

Komolafe

Fadare

Oladeji

et al. 2023

GLCE

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The depletion of resources and emission of hazardous gases have been identified with conventional sources of energy. The negative influence of conventional sources of energy on the environment necessitates the call for the use of renewable and sustainable energy sources, such as wind. Wind power is one of the available renewable energy sources in Nigeria with huge potential that can be tapped in order to contribute to its energy mix. Wind energy utilization in Nigeria is poor because the available data in all six geopolitical political regions for system design have not been fully analysed and implemented. Wind energy projects are liable to failure if proper analysis is not done. Therefore, before any location could be considered suitable or unsuitable for wind power generation, the power density must be determined using the standard approach. This study, therefore evaluated the wind energy potential of Omu Aran, Nigeria using Weibull and Rayleigh models. Five years data collected from the metrological station of the Landmark University on Lat. 8.14 oN; Long. 5.10 oE were processed and analysed in Matlab computer software using a code developed for two statistical modelling methods (Weibull and Rayleigh). The actual mean yearly wind speed of 3.964 m/s for Kwara falls in the low wind speed. Although, the power density for hours of the day, months, and seasonal variation ranged from 24 to 141 W/m2. More than 50% of the power density for daily hours was less than 100 W/m2 which indicated that Omu Aran, Nigeria belongs to class 1. The coefficient of efficiency (COE) for Weibull probability distribution ranged from 39.95 to 94.9 while the coefficient of determination (COD) R2 ranged from 0.66 to 0.98. This range of performance values for the Weibull model, when compared to the Rayleigh model, were within the acceptable limits for prediction accuracy, hence the Weibull probability distribution function can be used for the preliminary design of wind power plants for Kwara State, Nigeria. Therefore, it would help the relevant stakeholders in wind power project investment to make the appropriate decision.

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Recent Development in Energy Conversion Systems

2024

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Evaluation of Wind Energy Potentials in Some Selected Areas in the Six Geo-Political Regions in Nigeria

Cited by 3 publications

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Assessment of the wind energy potential and economic viability of selected sites along Nigeria’s coastal and offshore locations

Assessment of the wind energy potential and economic viability of selected sites along Nigeria’s coastal and offshore locations

Evaluation of Wind Energy Potential in Omu Aran, Nigeria Using Weibull and Rayleigh Models

Recent Development in Energy Conversion Systems

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