Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modeling, Experimentation, and Validation

Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modelling, Experimentation, and Validation provides a comprehensive view of the latest technical approaches and experimental capabilities in nuclear energy engineering, focusing on the connection between modelling and experimental approaches.

Format: Paperback / softback
Length: 600 pages
Publication date: 01 September 2023
Publisher: Elsevier Science & Technology

Nuclear and Energy Engineering: Modelling, Experimentation, and Validation offers a comprehensive exploration of the most recent technical approaches and experimental capabilities in the field of nuclear energy engineering. Drawing from the renowned summer school series conducted by Idaho National Laboratory, this book compiles a diverse collection of entries that highlight cutting-edge research and knowledge presented by proponents and developers of current and future nuclear systems. The central theme of this book revolves around the interplay between modelling and experimental approaches, emphasizing their significance in understanding and assessing nuclear energy systems.

Within its pages, readers will find essential topics such as probabilistic concepts for risk analysis, a comprehensive survey of legacy reliability and risk analysis tools, and the introduction of newly developed tools that support dynamic probabilistic risk-assessment. This book serves as an insightful and inspiring compilation of work from top nuclear experts at INL. It is a valuable resource for industry professionals, researchers, and academics engaged in nuclear engineering, safety, operations, and training. By delving into the current state-of-practice, readers will gain a comprehensive understanding of the field and be able to apply this knowledge to their own risk-assessment studies.

The book is organized into five chapters, each dedicated to a specific aspect of nuclear and energy engineering. The first chapter provides an introduction to the topic, outlining the significance of modelling and experimentation in understanding nuclear energy systems. It also highlights the key challenges and opportunities associated with these approaches.

The second chapter explores probabilistic concepts for risk analysis, discussing the principles and methodologies used to assess the safety and reliability of nuclear energy systems. It covers topics such as fault tree analysis, event tree analysis, and Bayesian inference, providing a comprehensive understanding of the tools and techniques employed in risk assessment.

The third chapter focuses on the survey of legacy reliability and risk analysis tools, examining the tools and methodologies developed for assessing the reliability of existing nuclear power plants. It discusses the challenges and limitations of these tools and explores the need for continuous improvement and development in this area.

The fourth chapter explores the role of modelling and experimentation in supporting dynamic probabilistic risk-assessment. It discusses the development of models that can capture the complex interactions and feedbacks within nuclear energy systems, enabling the evaluation of risk in real-time and under changing conditions.

The fifth chapter concludes the book by summarizing the key findings and recommendations presented throughout. It emphasizes the importance of interdisciplinary collaboration and the need for continued research and development in the field of nuclear and energy engineering.

In conclusion, Nuclear and Energy Engineering: Modelling, Experimentation, and Validation is a comprehensive and authoritative resource that provides a deep understanding of the latest technical approaches and experimental capabilities in nuclear energy engineering. By bridging the gap between modelling and experimentation, this book empowers readers to make informed decisions and contribute to the safe and sustainable development of nuclear energy systems.

Dimension: 229 x 152 (mm)
ISBN-13: 9780323911528