Innovative Optimization of Microgrid Configuration for Sustainable, Reliable and Economical Energy Using Homer Software

Abstract Mewar University grapples with exorbitant energy costs of approximately 1kWh, unreliable power supply, and a significant reliance on diesel engines and the grid. This dependency not only escalates energy expenses but also contributes to greenhouse gas emissions, exacerbating climate change, global warming, and environmental pollution. To mitigate these issues, this study proposes an optimized microgrid design integrating PV solar panels, wind turbines, diesel generators, and grid connectivity, utilizing HOMER software for optimization. The software identified multiple configurations, with the optimal design meeting an energy demand of 20, 077, 351 kWh/year through a combination of solar PV (288, 947, 670 kWh annually), wind turbines (36, 825, 618 kWh annually), and minimal reliance on diesel generators. The system would purchase 3, 827, 194 kWh annually from the grid during low renewable output periods and sell 167, 761, 193 kWh annually during surplus production. This design achieves a levelized cost of energy (LCOE) of 0. 00146/kWh and a return on investment (ROI) of 10. 1%, with total component expenditure of 16, 207, 384, covering capital investments, operations and maintenance (O&M), and fuel costs. Solar photovoltaics contributes 83% of the annual production, with the remaining 17% from the grid and wind turbines, establishing the system as cost-effective and environmentally friendly due to its heavy reliance on renewable energy sources (RES). Comprehensive feasibility, technical, economic and sensitivity analyses confirm the viability of implementing this proposed system. Ultimately, the proposed microgrid design promises a sustainable, economical, and reliable energy solution for the University.