Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Olanrewaju M. Oyewola is active.

Publication


Featured researches published by Olanrewaju M. Oyewola.


international journal of energy and environmental engineering | 2013

ECONOMIC ANALYSIS OF WIND ENERGY CONVERSION SYSTEMS USING LEVELIZED COST OF ELECTRICITY AND PRESENT VALUE COST METHODS IN NIGERIA

Olayinka S. Ohunakin; Olanrewaju M. Oyewola; Muyiwa S. Adaramola

Technical electricity generation assessment and economic analysis of six wind energy conversion systems in the categories small, medium, and large (with power ratings of 20, 35, 275, 500, 1,000, and 2,000 kW) were examined in this study. Electricity cost values were estimated based on the levelized cost of electricity (LCOE) and present value cost (PVC) methods for six locations selected across all the geopolitical zones of Nigeria. This was done using wind speed data that span between 25 and 37 years, measured at the height of 10 m. The result showed that the annual average energy output ranges from 2.242 MW h in Uyo with P10-20 turbine to 12,521.55 MW h in Kano using Vestas V80-2 MW wind turbine. Furthermore, of all the selected sites, Kano gave the least costs of electricity production per kilowatt hour with Vestas V80-2 MW model at 67-m hub heights, while the highest is obtained in Uyo with GEV-HP (1 MW) model at 70-m hub heights for the LCOE and PVC height for both the LCOE and PVC methods. In addition, sensitivity of the selected parameters to the levelized cost of electricity was also carried out.


Energy Exploration & Exploitation | 2012

Technical and economic assessment of hybrid energy systems in South-West Nigeria

Muyiwa S. Adaramola; Olanrewaju M. Oyewola; Samuel S. Paul

The technical and economic assessment of using hybrid energy system for electricity generation in rural communities in the south-west of Nigeria is investigated in this study. Renewable resources (wind and solar data) in Ibadan located on the latitude of 7.43 °N and longitude 3.91 °E are used. Hybrid Optimization Model for Electric Renewable software has been employed to carry out the present study. It was found that Wind-PV-Generator-Battery hybrid system is most suitable option as stand-alone electricity generating system in Ibadan. The optimal simulation results indicate that the levelised cost of energy for this hybrid energy system varies between


International Journal of Photoenergy | 2014

A Typical Meteorological Year Generation Based on NASA Satellite Imagery (GEOS-I) for Sokoto, Nigeria

Olayinka S. Ohunakin; Muyiwa S. Adaramola; Olanrewaju M. Oyewola; Richard L. Fagbenle; Fidelis I. Abam

0.437/kWh and


African Journal of Science, Technology, Innovation and Development | 2018

Photovoltaic performance prediction in Northern Nigeria using generated typical meteorological year dataset

Olayinka S. Ohunakin; Muyiwa S. Adaramola; Olanrewaju M. Oyewola; R. O. Fagbenle; Damola S. Adelekan; Jatinder Gill; Fidelis I. Abam

0.606/kWh depending on the diesel price. These costs are significantly lower than the cost of using diesel generator only (without battery) which varies between


Volume! | 2004

Comparison of the Structures of a Perturbed and Unperturbed Boundary Layer of the Same Reynolds Number

Olanrewaju M. Oyewola

0.607 and


Energy for Sustainable Development | 2014

Assessment of decentralized hybrid PV solar-diesel power system for applications in Northern part of Nigeria

Muyiwa S. Adaramola; Samuel S. Paul; Olanrewaju M. Oyewola

0.940 per kWh. It was further observed that there is a significant reduction in emission produced if hybrid energy system is used instead of only generator based energy system. The most suitable hybrid systems in other locations in southwest Nigeria can be identified from the optimal energy system plots provided.


Renewable & Sustainable Energy Reviews | 2014

Solar energy applications and development in Nigeria: Drivers and barriers

Olayinka S. Ohunakin; Muyiwa S. Adaramola; Olanrewaju M. Oyewola; R. O. Fagbenle

Computer simulation of buildings and solar energy systems are being used increasingly in energy assessments and design. This paper evaluates the typical meteorological year (TMY) for Sokoto, northwest region, Nigeria, using 23-year hourly weather data including global solar radiation, dew point temperature, mean temperature, maximum temperature, minimum temperature, relative humidity, and wind speed. Filkenstein-Schafer statistical method was utilized for the creation of a TMY for the site. The persistence of mean dry bulb temperature and daily global horizontal radiation on the five candidate months were evaluated. TMY predictions were compared with the 23-year long-term average values and are found to have close agreement and can be used in building energy simulation for comparative energy efficiency study.


Applied Energy | 2011

Wind energy evaluation for electricity generation using WECS in seven selected locations in Nigeria

Olayinka S. Ohunakin; Muyiwa S. Adaramola; Olanrewaju M. Oyewola

Relevant meteorological files are needed by simulation software to assess the energy performances of buildings or efficiency of renewable energy systems. This paper adopts the Sandia method to generate typical meteorological year (TMY), using a 35-year hourly measured meteorological dataset from four stations in the northern region of Nigeria. The cumulative distribution function (CDF) for each year was compared with that of the long-term composite of all the years in the period for the seven major weather indices made up of relative humidity, wind speed, minimum temperature, global solar radiation, precipitation, mean temperature and maximum temperature. The 12 typical meteorological months (TMMs) selected from the different years were used for formulation of a TMY for the zone. In addition, performance assessment of a 72-cell polycrystalline solar PV module using the generated TMY and long-term (LT) values was also conducted. Two statistical indicators, the mean percentage error and the root mean square error, were adopted to evaluate the performance of each TMY with the LT mean, and also that of the PV energy system. Findings show that the TMMs are evenly spread within the data periods across the sites while closest fit between the long-term mean and TMY are obtained with the global solar radiation followed by the mean temperature in all the sites especially in Bida and Minna. From the energy system analysis carried out, it was found that TMY data are able to predict the performance of the PV system to within 5% of the LT data.


Archive | 2014

Sustainable Energy Technologies and Assessments

Muyiwa S. Adaramola; Olanrewaju M. Oyewola; Olayinka S. Ohunakin; Olaolu O. Akinnawonu

The comparison of the structures of the boundary layer with and without suction of the same momentum thickness Reynolds number Rθ have been made in a turbulent boundary subjected to concentrated suction, applied through a short porous wall strip. The results indicate that, relative to σ = 0, the mean velocity collapses reasonably well but there are some discrepancies in the Reynolds stresses distributions. These discrepancies are also noted in the distributions of the anisotropy invariant tensor, skewness and flatness factors. The result would suggest that the differences are a result of the difference in the initial boundary condition, which influences the flow structures to a significant streamwise location.Copyright


Renewable Energy | 2011

Evaluating the performance of wind turbines in selected locations in Oyo state, Nigeria

Muyiwa S. Adaramola; Olanrewaju M. Oyewola

Collaboration


Dive into the Olanrewaju M. Oyewola's collaboration.

Top Co-Authors

Avatar

Muyiwa S. Adaramola

Norwegian University of Life Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

R. O. Fagbenle

Obafemi Awolowo University

View shared research outputs
Top Co-Authors

Avatar

L. Djenidi

University of Newcastle

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Fidelis I. Abam

Michael Okpara University of Agriculture

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge