{ "item_title" : "Modeling, Design and Engineering Optimization of Energy Systems", "item_author" : [" Yamin Yan", "Qi Liao", "Jie Yan "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/72/584/571/3725845719_b.jpg", "price_data" : { "retail_price" : "105.88", "online_price" : "105.88", "our_price" : "105.88", "club_price" : "105.88", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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