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Techno-Economic Evaluation of a Hybrid Energy System for an Educational Institution: A Case Study

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  • Saheed Lekan Gbadamosi

    (Center for Cyber Physical Food, Energy and Water Systems, University of Johannesburg, Johannesburg 2006, South Africa
    Department of Electrical, Electronic and Computer Engineering, Afe Babalola University, Ado-Ekiti 260213, Nigeria)

  • Fejiro S. Ogunje

    (Department of Electrical, Electronic and Computer Engineering, Afe Babalola University, Ado-Ekiti 260213, Nigeria)

  • Samuel Tita Wara

    (Office of the Vice Chancellor, Havilla University, Nde-Ikom (HUNI), Nde 562261, Nigeria)

  • Nnamdi I. Nwulu

    (Center for Cyber Physical Food, Energy and Water Systems, University of Johannesburg, Johannesburg 2006, South Africa)

Abstract

This study evaluates the technical, economic and environmental benefits of renewable energy resources (RER) for electricity supply to large size buildings in an educational institution. The cost of energy generation coupled with the epileptic power supply has led to the demand for an alternative source of energy supply to an education institution in Nigeria. The essence of renewable energy generation is becoming more glaring and a hybrid energy system (HES) is believed to deliver efficient and sustainable energy for the institutions; this paper aims to analyse the techno-economic assessment of a HES design setup at the College of Engineering, Afe Babalola University Ado-Ekiti for powering the university buildings; this grid connected system was assessed with various system configurations was simulated using hybrid optimization model for electric renewables (HOMER) software and the levelized cost of energy (LCOE) with the consideration of the HES benefits was developed. The results obtained from the simulation indicate that the grid and solar Photovoltaic (PV) system provide an optimal system that adequately meets the load demand with more renewable energy integration and this significantly reduces the cost of energy by 45% and also causes a 32.09% reduction in CO 2 emissions; this configuration is environmentally sustainable and financially suitable for electrifying an educational institution.

Suggested Citation

  • Saheed Lekan Gbadamosi & Fejiro S. Ogunje & Samuel Tita Wara & Nnamdi I. Nwulu, 2022. "Techno-Economic Evaluation of a Hybrid Energy System for an Educational Institution: A Case Study," Energies, MDPI, vol. 15(15), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5606-:d:878619
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    References listed on IDEAS

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    1. Saheed Lekan Gbadamosi & Nnamdi I. Nwulu & Pierluigi Siano, 2022. "Harmonics Constrained Approach to Composite Power System Expansion Planning with Large-Scale Renewable Energy Sources," Energies, MDPI, vol. 15(11), pages 1-15, June.
    2. Kabir, M.N. & Mishra, Y. & Ledwich, G. & Xu, Z. & Bansal, R.C., 2014. "Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems," Applied Energy, Elsevier, vol. 134(C), pages 290-300.
    3. Lee, Minhyun & Hong, Taehoon & Jeong, Jaewook & Jeong, Kwangbok, 2018. "Development of a rooftop solar photovoltaic rating system considering the technical and economic suitability criteria at the building level," Energy, Elsevier, vol. 160(C), pages 213-224.
    4. Sawle, Yashwant & Gupta, S.C. & Bohre, Aashish Kumar, 2018. "Socio-techno-economic design of hybrid renewable energy system using optimization techniques," Renewable Energy, Elsevier, vol. 119(C), pages 459-472.
    5. Ahmad, Jameel & Imran, Muhammad & Khalid, Abdullah & Iqbal, Waseem & Ashraf, Syed Rehan & Adnan, Muhammad & Ali, Syed Farooq & Khokhar, Khawar Siddique, 2018. "Techno economic analysis of a wind-photovoltaic-biomass hybrid renewable energy system for rural electrification: A case study of Kallar Kahar," Energy, Elsevier, vol. 148(C), pages 208-234.
    6. Jung, Seunghoon & Jeoung, Jaewon & Kang, Hyuna & Hong, Taehoon, 2021. "Optimal planning of a rooftop PV system using GIS-based reinforcement learning," Applied Energy, Elsevier, vol. 298(C).
    7. Tamjid Shabestari, Sara & Kasaeian, Alibakhsh & Vaziri Rad, Mohammad Amin & Forootan Fard, Habib & Yan, Wei-Mon & Pourfayaz, Fathollah, 2022. "Techno-financial evaluation of a hybrid renewable solution for supplying the predicted power outages by machine learning methods in rural areas," Renewable Energy, Elsevier, vol. 194(C), pages 1303-1325.
    8. Saheed Lekan Gbadamosi & Nnamdi I. Nwulu, 2020. "Optimal Power Dispatch and Reliability Analysis of Hybrid CHP-PV-Wind Systems in Farming Applications," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
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    Cited by:

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    2. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Shamim, Tariq & Domenighini, Piergiovanni & Cotana, Franco & Wang, Jinwen & Fantozzi, Francesco & Bianchi, Francesco, 2023. "Transition toward net zero emissions - Integration and optimization of renewable energy sources: Solar, hydro, and biomass with the local grid station in central Italy," Renewable Energy, Elsevier, vol. 207(C), pages 672-686.
    3. Gbalimene Richard Ileberi & Pu Li, 2023. "Integrating Hydrokinetic Energy into Hybrid Renewable Energy System: Optimal Design and Comparative Analysis," Energies, MDPI, vol. 16(8), pages 1-28, April.
    4. Kyoik Choi & Jangwon Suh, 2023. "Fault Detection and Power Loss Assessment for Rooftop Photovoltaics Installed in a University Campus, by Use of UAV-Based Infrared Thermography," Energies, MDPI, vol. 16(11), pages 1-16, June.

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