ANNOUNCEMENTS
This thesis explores the optimization and techno-economic feasibility (TEF) of a Hybrid Standalone Renewable Energy System (HSRES) in the Chamoli district, Uttarakhand, India. With the rising global demand for energy, particularly in developing countries like India, an increased dependency on fossil fuels (FF) contributes to environmental degradation and Climate change (CC). Renewable energy offers a sustainable alternative due to its abundance, but its intermittent nature can make it difficult to ensure a consistent energy supply. To tackle this challenge, the research proposes an HSRES that integrates solar, wind, and biomass energy sources for rural electrification in areas with limited grid access. The design prioritizes efficiency, cost-effectiveness, and reliability by combining solar photovoltaic (SPV) systems, wind, and biomass energy. Using HOMER Pro software, the system's technical and economic viability was thoroughly analyzed. Additionally, optimization methods like Grey Wolf Optimization (GWO) and Harris Hawk Optimization (HHO) were used to refine the HOMER Pro results. These techniques were chosen for their ability to balance competing objectives, such as minimizing the net present cost (NPC) and reducing energy production expenses, all while maintaining system reliability. Results show that an SPV, wind, and biomass hybrid system can substantially cut FF use, lower greenhouse gas (GHG) emissions, and support sustainable energy generation in remote locations. The techno-economic assessment found that the optimized system is both environmentally beneficial and cost-effective, with reduced NPC and lower energy costs, making it an affordable option for rural areas. Further, HHO optimization lowered the NPC by 0.25%, illustrating how advanced algorithms can enhance renewable energy systems. Beyond technical and economic gains, the research assesses the environmental and social impacts of the HSRES. The system boosts rural development by addressing energy needs while utilizing agricultural waste for biomass energy, supporting both energy generation and waste management. This approach enhances environmental sustainability and, by creating jobs in the renewable energy sector, supports socioeconomic development in rural regions. Reliable electricity access also improves living conditions, boosts local economies, and alleviates poverty. This thesis provides a scalable, flexible model for rural electrification in areas rich in renewable energy resources. It aligns with global efforts to reduce energy poverty and promote sustainable development (SD) by demonstrating that hybrid renewable energy systems (HRES) can meet the energy needs of remote areas. The insights gained here are valuable for policymakers and energy planners looking to implement renewable energy solutions in rural regions, especially in developing nations like India. Overall, this research emphasizes the role of advanced optimization techniques and integrated energy systems in creating sustainable, reliable, and affordable energy solutions. By optimizing HRES and demonstrating their feasibility in remote regions, this work lays the groundwork for a more sustainable and equitable energy future for rural communities worldwide.
Keywords: Renewable Energy, Harris Hawk Optimization, Feasibility Analysis, Environmental Impacts, HOMER Pro software, Grey Wolf Optimization, Cost of Energy, Net Present Cost.
