Modeling Design and Engineering Optimization of Energy Systems

<p>This Reprint compiles cutting-edge research on modeling design and engineering optimization for sustainable energy systems. It addresses critical global challenges-climate change mitigation renewable integration and efficiency enhancement-through innovative methodologies and computational tools. Key themes in this collection include the following: Energy Storage and Conversion: Optimization of electrochemical/hybrid storage to balance renewable variability bolster grid resilience and quantify environmental benefits. Hydrogen and Fuel Cells: Advances in green hydrogen systems including integrated power-to-gas with fuel cells autonomous operation carbon-trading incentives and flexible cogeneration. AI-Driven Optimization: AI applications for precision carbon management adaptive system reconfiguration and risk-informed decision-making under uncertainty. Renewable Integration: Smart strategies for improving renewable penetration featuring spatiotemporal modeling of EV mobility cost-minimized charging infrastructure and demand-side management. The contributions highlight co-optimization frameworks that minimize costs/emissions while enhancing reliability. This collection paves the way for low-carbon transitions in the power transportation and industrial sectors through interdisciplinary engineering solutions.</p>