FDP on Methodologies of Renewable Energy Systems Research and Implementation Analysis
The Faculty Development Program (FDP) on "Methodologies of Renewable Energy Systems Research and Implementation Analysis," held from January 20 to 24, 2025, at J P College of Engineering, served as an enriching platform for faculty members, researchers, and industry experts to explore advancements in renewable energy technologies.
The program provided deep insights into various research methodologies, including computational modeling, multi-criteria decision analysis (MCDA), and artificial intelligence (AI)-based forecasting techniques. Experts highlighted the importance of simulation tools like MATLAB and HOMER in optimizing energy generation and storage solutions, ensuring efficiency in renewable energy systems.
One of the key discussions focused on the integration of solar and wind energy into existing power grids, emphasizing challenges such as grid stability, load balancing, and energy storage solutions like battery energy storage systems (BESS) and pumped hydro storage. AI-driven predictive analytics and machine learning models were showcased for energy demand forecasting, demonstrating their role in improving energy management and efficiency. The FDP also addressed policy frameworks, government incentives, and the impact of regulatory mechanisms on renewable energy deployment, including net metering policies and carbon credit trading.
Practical case studies on decentralized energy solutions, microgrids, and hybrid renewable energy systems illustrated real-world applications, showcasing successful implementations in rural electrification and smart grid innovations. Participants engaged in interactive discussions on cost-effective deployment strategies, sustainability measures, and emerging trends in the global renewable energy market. The FDP ultimately equipped attendees with the knowledge and tools needed to contribute effectively to the field of renewable energy, fostering innovation and research-driven solutions for a sustainable future.