Piyush Sabharwall - Böcker

Advances in Small Modular Reactors: Technology, Safety, and Economic Viability is a comprehensive guide that explores the transformative potential of Small Modular Reactors (SMRs) in advancing sustainable and efficient energy solutions. This essential resource covers foundational principles, advanced design techniques, safety protocols, and economic analysis critical for the future of clean energy. Readers will gain insights into SMR technology advancements, application of Digital Twin, AI, and Machine Learning in SMR optimization, and detailed techno-economic analyses and policy evaluations. The text begins with an introduction to nuclear power and the role of SMRs in sustainable clean energy solutions. It investigates the fundamentals of thermal-hydraulics in nuclear reactor systems, scaling and modeling techniques for SMR design, and modern instrumentation in SMR technologies. The text progresses to cover simulation and modeling applications using CFD, system and computer codes for SMR development, as well as experimental studies and waste management strategies for small modular reactors. The book then examines safety considerations, economics, and future prospects of SMRs, covering reliability and risk assessment, digital twin technology, techno-economic analysis, policy and regulatory impacts, non-water-cooled SMRs development, and the future horizons in SMR thermal-hydraulics and economic analysis. Advances in Small Modular Reactors: Technology, Safety, and Economic Viability is an indispensable resource for graduate and postgraduate students, professional engineers, researchers, industry professionals, policymakers, and clean energy enthusiasts. This book provides essential knowledge and insights into the transformative potential of SMRs, preparing readers to navigate nuclear power advancements and contribute meaningfully to sustainable energy solutions.Examines SMR technology and its contribution to sustainable energyDiscusses thermal-hydraulic design, safety protocols, and simulation methodsExplores the use of Digital Twin, AI, and Machine Learning in SMR optimizationProvides a detailed techno-economic analysis and policy evaluation