Subject Area
Electrical Engineering
Article Type
Original Study
Abstract
In an era where the debate on climate action has evolved from mere awareness to urgent implementation, energy-efficient management strategies are crucial. The energy mix, combined with optimal design of hybrid renewable energy systems, is a potential option to limit the increase in demand for fossil fuels and the climate issue. As a result, this study proposes an optimal design of hybrid renewable systems using technoeconomic criteria to meet load demand in the Department of Electrical and Electronics Engineering at Olabisi Onabanjo University. The model combines an off-grid energy alternative with a battery storage system. The primary goal is to find an optimal configuration that has the lowest economic cost and emissions. A case study is carried out utilizing energy consumption and climatic data from the Olabisi Onabanjo University Campus in Nigeria. In addition, four distinct off-grid hybrid schemes were optimized using HOMER Pro software. The result shows that the hybrid scheme with solar-wind-battery-converter has a minimum energy cost due to the integration of renewable sources and storage technology and is eco-friendly with the least emission and fuel costs. The result also revealed that solar-wind-battery-converter as the optimal configuration with lowest TPC of $1.14M, least CoE of $1.35/kWh and least operating cost of $44.5T.
Keywords
Optimal Design, Hybrid System, Cost of Energy, Renewable Energy, Total Present Cost, Homer Pro
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Okubanjo, Ayodeji Akinsoji; Okandeji, Alexander; Okakwu, Ignatius Kema; Akinloye, Benjamin; and Olayiwola, Abisola
(2025)
"Optimal Design of an Off-grid Hybrid Renewable Systems with Battery Storage for Rural Electrification of Academic Community in Ibogun Campus, Nigeria,"
Mansoura Engineering Journal: Vol. 50
:
Iss.
5
, Article 4.
Available at:
https://doi.org/10.58491/2735-4202.3309
Included in
Architecture Commons, Engineering Commons, Life Sciences Commons



