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Techno-Economic and Sensitivity Analyses for an Optimal Hybrid Power System Which Is Adaptable and Effective for Rural Electrification: A Case Study of Nigeria

Author

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  • Jamiu Omotayo Oladigbolu

    (Renewable Energy Research Group, Department of Electrical and Computer Engineering, King Abdul-Aziz University, Jeddah 21589, Saudi Arabia)

  • Makbul A. M. Ramli

    (Renewable Energy Research Group, Department of Electrical and Computer Engineering, King Abdul-Aziz University, Jeddah 21589, Saudi Arabia)

  • Yusuf A. Al-Turki

    (Renewable Energy Research Group, Department of Electrical and Computer Engineering, King Abdul-Aziz University, Jeddah 21589, Saudi Arabia)

Abstract

This paper studies in detail a systematic approach to offering a combination of conventional and renewable energy that is adaptable enough to operate in grid-connected and off- grid modes to provide power to a remote village located in Nigeria. To this aim, the HOMER pro software tool was used to model two scenarios from the on-and off-grid systems, evaluating in detail the techno-economic effects and operational behavior of the systems and their adverse impacts on the environment. The impacts of varying load demand, grid power and sellback prices, diesel prices, and solar irradiation levels on system performance were discussed. Results showed that, for both cases, the optimum design consists of a diesel generator rated at 12 kW, with a photovoltaic (PV) panel of 54 kW, a 70 battery group (484 kWh nominal capacity battery bank), and a 21 kW converter. The cost of electricity (COE) and net present cost (NPC) were in the range of $0.1/kWh to 0.218 $/kWh and $117,598 to $273,185, respectively, and CO 2 emissions ranged between 5963 and 49,393 kg/year in the two configurations. The results of this work provide a general framework for setting up a flexible and reliable system architecture to ensure continuous power supply to consumers under all conditions.

Suggested Citation

  • Jamiu Omotayo Oladigbolu & Makbul A. M. Ramli & Yusuf A. Al-Turki, 2019. "Techno-Economic and Sensitivity Analyses for an Optimal Hybrid Power System Which Is Adaptable and Effective for Rural Electrification: A Case Study of Nigeria," Sustainability, MDPI, vol. 11(18), pages 1-25, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4959-:d:266204
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    References listed on IDEAS

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    2. Juliana O. Eko & Manosh C. Paul, 2021. "Integrated Sustainable Energy for Sub-Saharan Africa: A Case Study of Machinga Boma in Malawi," Energies, MDPI, vol. 14(19), pages 1-21, October.
    3. Md. Rasel Ahmed & Md. Rokib Hasan & Suharto Al Hasan & Muhammad Aziz & Md. Emdadul Hoque, 2023. "Feasibility Study of the Grid-Connected Hybrid Energy System for Supplying Electricity to Support the Health and Education Sector in the Metropolitan Area," Energies, MDPI, vol. 16(4), pages 1-23, February.
    4. Amir A. Imam & Yusuf A. Al-Turki & Sreerama Kumar R., 2019. "Techno-Economic Feasibility Assessment of Grid-Connected PV Systems for Residential Buildings in Saudi Arabia—A Case Study," Sustainability, MDPI, vol. 12(1), pages 1-25, December.
    5. Abdullahi Abubakar Mas’ud & Hassan Zuhair Al-Garni, 2021. "Optimum Configuration of a Renewable Energy System Using Multi-Year Parameters and Advanced Battery Storage Modules: A Case Study in Northern Saudi Arabia," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    6. Jamiu O. Oladigbolu & Asad Mujeeb & Amir A. Imam & Ali Muhammad Rushdi, 2022. "Design, Technical and Economic Optimization of Renewable Energy-Based Electric Vehicle Charging Stations in Africa: The Case of Nigeria," Energies, MDPI, vol. 16(1), pages 1-32, December.
    7. Yeon-Ju Choi & Byeong-Chan Oh & Moses Amoasi Acquah & Dong-Min Kim & Sung-Yul Kim, 2021. "Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    8. Irshad, Ahmad Shah & Ludin, Gul Ahmad & Masrur, Hasan & Ahmadi, Mikaeel & Yona, Atsushi & Mikhaylov, Alexey & Krishnan, Narayanan & Senjyu, Tomonobu, 2023. "Optimization of grid-photovoltaic and battery hybrid system with most technically efficient PV technology after the performance analysis," Renewable Energy, Elsevier, vol. 207(C), pages 714-730.

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