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<p>The present study explores various configurations and determines the most economically viable grid-tied hybrid renewable energy system (HRES) configuration, one each for low-, medium-, and high-demand consumers based on their load profiles, for the location of village Saman, district Rohtak in the state of Haryana, India. Rooftop solar, wind, bioenergy, and battery form the main constituents of HRES, specific to the geographic location. The objectives that form the basis of determining economically optimal configuration include minimizing net present cost (NPC) and cost of energy (COE) and maximizing renewable fraction (RF). Multiple simulation runs on hybrid optimization of multiple energy resources (HOMER®) platform explore through various permutations and combinations and reveal photovoltaic-wind turbine-biogas-grid (PV-WT-BG-GRID) as the most economical and optimal configuration in respect of the lowest NPC, COE, and carbon dioxide (CO<sub>2</sub>) emissions, while highest RF. Results showcase that NPC is 2.40&#xa0;M, 5.81&#xa0;M, and 22.2&#xa0;M, CO<sub>2</sub> emissions are 15,000&#xa0;kg/yr., 22,000&#xa0;kg/yr., and 42,000&#xa0;kg/yr., while COE is Rs. 2.98, Rs. 2.79, and Rs. 4.21 for low-, medium-, and high-demand consumers, respectively. The novelty of the work lies in the use of HOMER® for exploration, considering three different categories of consumers, and the choice of specific location, giving a novel solution.</p>

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Economically optimal hybrid renewable energy system configuration and comparative analysis thereof for village Saman in India using HOMER®

  • 期刊论文

  • 发表日期：

    2026年1月9日

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  • Pratibha,
  • Sathans

摘要

The present study explores various configurations and determines the most economically viable grid-tied hybrid renewable energy system (HRES) configuration, one each for low-, medium-, and high-demand consumers based on their load profiles, for the location of village Saman, district Rohtak in the state of Haryana, India. Rooftop solar, wind, bioenergy, and battery form the main constituents of HRES, specific to the geographic location. The objectives that form the basis of determining economically optimal configuration include minimizing net present cost (NPC) and cost of energy (COE) and maximizing renewable fraction (RF). Multiple simulation runs on hybrid optimization of multiple energy resources (HOMER®) platform explore through various permutations and combinations and reveal photovoltaic-wind turbine-biogas-grid (PV-WT-BG-GRID) as the most economical and optimal configuration in respect of the lowest NPC, COE, and carbon dioxide (CO2) emissions, while highest RF. Results showcase that NPC is 2.40 M, 5.81 M, and 22.2 M, CO2 emissions are 15,000 kg/yr., 22,000 kg/yr., and 42,000 kg/yr., while COE is Rs. 2.98, Rs. 2.79, and Rs. 4.21 for low-, medium-, and high-demand consumers, respectively. The novelty of the work lies in the use of HOMER® for exploration, considering three different categories of consumers, and the choice of specific location, giving a novel solution.