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Analysis of Hybrid Energy System for Optimal Power Performance in 5G Base Stations
Abstract:
As the world transitions to the adoption of green energy, it is necessary for countries to harness their renewable energy sources for eco-friendly operations. This study aims at deploying an integration of green energy and other energy sources (as backup) in optimizing a 5G base station energy requirement in Rivers State, Nigeria (4o49.0’N, 7o 0.9’E). Three different scenarios of hybrid renewable energy sources were analyzed to ascertain which of them will yield optimal and sustainable power. The simulation and optimization were performed with the aid of the HOMER pro micro grid analytical software 3.16.2. The software engine performed intricate simulations on various components of the system and with the aid of energy data, authentication was done on the cost-competitive strategy used for component design by enabling comparison with alternative solutions. The result demonstrated that the least cost of renewable energy (CoE) was recorded in solar-wind, fuel cell and diesel generator with battery system (scenerio-2) at AC load of 884852kWh/yr, with well reduced minimum energy cost at NGN 541.2 /kWh. The most expensive configuration is the wind turbine, solar PV, fuel cell (FC) and diesel generator with absence of battery banks. The pure renewable hybrid microgrid system happens to be the option with moderately expensive configuration. The implication of the result is that the optimal system has an investment payback of 3.65 years and an IRR of 26.9%. It also shows a net present cost of NGN 6,120 M while the initial cost and operating cost are NGN 3,840 M and NGN 181,797,600 respectively. The system recorded 52.2% excess electricity and zero Kwh/yr of capacity shortage. The optimum solution minimizes overall emissions by 80% when compared to the diesel and battery bank system.
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43-54
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February 2026
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© 2026 Trans Tech Publications Ltd. All Rights Reserved
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