Course Description
This course is designed for PhD students seeking to advance their expertise in the intersection of smart energy systems and carbon neutrality, with a focus on innovative research, technologies, and strategies critical to addressing global climate challenges. The course delves into advanced principles, tools, and frameworks that drive the development of intelligent, sustainable energy ecosystems, emphasizing both theoretical rigor and real-world applications. Students will explore cutting-edge topics such as renewable energy integration, smart grid architectures, distributed energy resource management, AI-driven energy optimization, and energy storage technologies. The curriculum also addresses socio-technical dimensions, including policy design, carbon markets, behavioral economics, and the role of digital technologies (e.g., IoT, blockchain) in enabling transparent and resilient energy transitions. Through case studies, simulations, and interdisciplinary projects, participants will analyze challenges in decarbonizing energy systems while balancing efficiency, equity, and scalability.
Intended Learning Outcomes
CILO-1: Conduct research in any specialized topics related in smart energy for carbon neutrality.
CILO-2: Investigate the latest trends and challenges in smart energy.
CILO-3: Design and implement solutions using state-of-the-art interdisciplinary technologies for carbon neutrality.
CILO-4: Design and simulate the smart energy system considering technical, economic, and policy conditions for carbon neutrality.