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<p>Electricity access is a critical barometer of socioeconomic progress. Despite global strides, 840&#xa0;million individuals remain without power, as highlighted in the Global Sustainable Energy Goals Report. SDG 7 emphasizes the imperative of worldwide access to affordable, reliable, clean, and modern energy. The research delves into sociotechnical design and optimization approaches to directly fulfill SDG 7 and indirectly contribute to SDGs 11 (Sustainable Cities and Communities) and 13 (Climate Action) through the integration of renewable energy within a nanogrid system in a rural village. To support this research, a comprehensive primary data collection exercise was undertaken through a door-to-door household survey within the geographical boundaries of Alamarathupatti Village, situated in the Athoor block of Dindigul district, Tamil Nadu, India. The primary research objective was to assess the prevailing energy consumption and utilization practices within the village. This research presents a comprehensive energy plan leveraging a smart, renewable nanogrid—a self-sufficient, small-scale grid—to supply power to a single building or a defined load, optimized using HOMER software. The prime focus is to achieve 100% renewable energy penetration, prioritizing both energy security and environmental sustainability. This innovative nanogrid incorporates a solar-powered electric vehicle with vehicle-to-grid capabilities, alongside rooftop solar photovoltaics and biomass energy conversion. Through rigorous optimization, the optimal nanogrid configuration, including energy storage requirements, was determined, yielding an annual energy generation capacity of 6046 kWh. A techno-economic assessment of the proposed system was performed. The analysis encompassed the determination of the unit electricity production cost and the calculation of the investment payback period. Additionally, the environmental impact of the nanogrid was quantified, with an estimated annual reduction in carbon emissions of 7.74 tons, underscoring its contribution to sustainable energy solutions.</p> Graphical Abstract <p></p>

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Energy and environmental sustainability in rural areas through vehicle to grid based nano grid

  • 期刊论文

  • 发表日期：

    2026年1月28日

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  • Lalith Pankaj Raj Nadimuthu,
  • Kirubakaran Victor

摘要

Electricity access is a critical barometer of socioeconomic progress. Despite global strides, 840 million individuals remain without power, as highlighted in the Global Sustainable Energy Goals Report. SDG 7 emphasizes the imperative of worldwide access to affordable, reliable, clean, and modern energy. The research delves into sociotechnical design and optimization approaches to directly fulfill SDG 7 and indirectly contribute to SDGs 11 (Sustainable Cities and Communities) and 13 (Climate Action) through the integration of renewable energy within a nanogrid system in a rural village. To support this research, a comprehensive primary data collection exercise was undertaken through a door-to-door household survey within the geographical boundaries of Alamarathupatti Village, situated in the Athoor block of Dindigul district, Tamil Nadu, India. The primary research objective was to assess the prevailing energy consumption and utilization practices within the village. This research presents a comprehensive energy plan leveraging a smart, renewable nanogrid—a self-sufficient, small-scale grid—to supply power to a single building or a defined load, optimized using HOMER software. The prime focus is to achieve 100% renewable energy penetration, prioritizing both energy security and environmental sustainability. This innovative nanogrid incorporates a solar-powered electric vehicle with vehicle-to-grid capabilities, alongside rooftop solar photovoltaics and biomass energy conversion. Through rigorous optimization, the optimal nanogrid configuration, including energy storage requirements, was determined, yielding an annual energy generation capacity of 6046 kWh. A techno-economic assessment of the proposed system was performed. The analysis encompassed the determination of the unit electricity production cost and the calculation of the investment payback period. Additionally, the environmental impact of the nanogrid was quantified, with an estimated annual reduction in carbon emissions of 7.74 tons, underscoring its contribution to sustainable energy solutions.

Graphical Abstract