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<p>This study aims to design and evaluate hybrid renewable energy systems (HRES) for sustainable electrification of Dhordo village, Gujarat, using real-time meteorological data and a novel optimization approach. The objective is to minimize the levelized cost of energy (LCOE) and total net present cost (TNPC) while maintaining system reliability within acceptable limits of loss of power supply probability (LPSP ≤ 1%). Four configurations: SPV/WT/BES (off-grid), SPV/WT/GRID, SPV/GRID, and WT/GRID, were modeled and simulated. The Giza pyramid construction algorithm (GPCA), a new metaheuristic optimization method, was used to determine optimal sizing of solar PV, wind turbines, battery storage, and grid interface. Results indicate that the SPV/GRID system is the most cost-effective, with the lowest LCOE ($0.06304/kWh) and TNPC ($508,270), leveraging the region’s strong solar potential. In contrast, the SPV/WT/BES off-grid system achieved 100% renewable penetration but had the highest cost ($0.7006/kWh and $2.96 million TNPC). Seasonal energy variability, environmental emissions, and economic trade-offs were analyzed to assess the viability of each configuration. The study confirms that grid-connected solar systems optimized using GPCA offer a practical, reliable, and economical solution for rural electrification in solar-rich regions.</p>

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Techno-economic analysis and energy management strategies for electrification of Dhordo village, Gujarat, India

  • 期刊论文

  • 发表日期：

    2026年1月9日

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  • Aquib Rahman,
  • Imtiaz Ashraf,
  • Fareed Ahmad

摘要

This study aims to design and evaluate hybrid renewable energy systems (HRES) for sustainable electrification of Dhordo village, Gujarat, using real-time meteorological data and a novel optimization approach. The objective is to minimize the levelized cost of energy (LCOE) and total net present cost (TNPC) while maintaining system reliability within acceptable limits of loss of power supply probability (LPSP ≤ 1%). Four configurations: SPV/WT/BES (off-grid), SPV/WT/GRID, SPV/GRID, and WT/GRID, were modeled and simulated. The Giza pyramid construction algorithm (GPCA), a new metaheuristic optimization method, was used to determine optimal sizing of solar PV, wind turbines, battery storage, and grid interface. Results indicate that the SPV/GRID system is the most cost-effective, with the lowest LCOE ($0.06304/kWh) and TNPC ($508,270), leveraging the region’s strong solar potential. In contrast, the SPV/WT/BES off-grid system achieved 100% renewable penetration but had the highest cost ($0.7006/kWh and $2.96 million TNPC). Seasonal energy variability, environmental emissions, and economic trade-offs were analyzed to assess the viability of each configuration. The study confirms that grid-connected solar systems optimized using GPCA offer a practical, reliable, and economical solution for rural electrification in solar-rich regions.