Risk-informed Methods and Applications in Nuclear and Energy Engineering

Risk-informed Methods and Applications in Nuclear and Energy Engineering

Modelling, Experimentation, and Validation

1st Edition - July 1, 2023

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  • Editors: Curtis Smith, Diego Mandelli, Katya Le Blanc
  • Paperback ISBN: 9780323911528

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Description

Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modelling, Experimentation, and Validation presents a comprehensive view of the latest technical approaches and experimental capabilities in nuclear energy engineering. Based on Idaho National Laboratory’s popular summer school series, this book compiles a collection of entries on the cutting-edge research and knowledge presented by proponents and developers of current and future nuclear systems, focusing on the connection between modelling and experimental approaches. Included in this book are key topics such as probabilistic concepts for risk analysis, the survey of legacy reliability and risk analysis tools, and newly developed tools supporting dynamic probabilistic risk-assessment. This book is an insightful and inspiring compilation of work from top nuclear experts from INL. Industry professionals, researchers and academics working in nuclear engineering, safety, operations and training will gain a board picture of the current state-of-practice and be able to apply that to their own risk-assessment studies.

Key Features

  • Based on Idaho National Laboratory’s summer school series, this book is a collection of entries from proponents and developers of current and future nuclear systems
  • Provides an up-to-date view of current technical approaches and experimental capabilities in nuclear energy engineering, covering modeling and validation, and focusing on risk-informed methods and applications
  • Equips the reader with an understanding of various case studies and experimental validations to enable them to carry out a risk-assessment study

Readership

Early career nuclear engineers; developers of current and future nuclear systems; researchers and academics; those working in the nuclear industry focused on nuclear safety, operations and training, regulatory bodies

Table of Contents

  • 1. Background

    2. Nuclear Safety
    DOE/National Lab perspective on nuclear safety, modeling, simulation, and experimentation
    Addressing Challenges in Risk Informed Decision Making for the Nuclear Industry
    Overview of the Light Water Reactor Sustainability Program
    NEI perspective on risk-informed applications
    Probabilistic Risk Assessment and Risk-Informed Decision Making at the NRC: Some Trends and Challenges
    Nuclear safety since TMI
    Experimental Breeder Reactor-1
    National Reactor Innovation Center
    Small Modular Reactors and Advanced Reactors
    Overview of Micro Reactors
    Overview of Canadian National Laboratory ZED reactor

    3. Simulation and Modeling
    Reactor Physics Historical Overview
    Thermal Hydraulics Modeling
    Synergies Among Experiments and M&S
    Experiments and M&S in Safety
    Multi-Physics Methods for Safety Applications
    Severe accidents in Light Water Reactors
    Challenges in Thermal Hydraulics modeling
    Accident Tolerant Fuel Modeling
    NEAMS overview
    Advanced Reactor Design
    Status and Trends of Kinetic Monte Carlo Simulation in Reactor Physics

    4. Experiment and Validation
    Irradiation Test Cycle Overview
    High-Temperature Test Laboratory (HTTL)
    3D Manufacturing Additive Laboratory
    Human System Simulation Laboratory (HSSL)
    Microgrid Test Bed
    Fuel Transient Modeling and Testing
    Materials and Fuels Complex
    Fuel Fabrication & Assembly with FASB/EFF/AFF
    Irradiation Experiment Design
    Transient Testing with TREAT
    The ATR and Experiments Overview
    In-Pile Testing Safety
    Post-Irradiation Examination and HFEF
    Space Battery Construction and Validation
    Microstructural Characterization and IMCL
    VTR Overview
    Validation of multi-physics reactor simulations
    INL Resilience Optimization Center
    Advanced Battery Test Lab
    Electric Vehicle Infrastructure Lab (EVIL)
    Real Time Power & Energy Systems (RTDS)
    Materials in extreme environments
    Bridging the Gap Between Experiment and Modeling
    Validation of TH models

    5. Risk and Reliability
    System analysis modeling and testing
    Stochastic optimization applied to energy systems
    Uncertainty Quantification methods
    Modeling critical infrastructures
    Physical security modeling
    Data-Driven Prognostics and Health Management (PHM) for the condition-based and predictive maintenance of Industrial Components and Systems
    Instrumentation and control, software, and cyber risk
    Nuclear nonproliferation and homeland security applications
    Hybrid energy systems modeling
    Simulation based reliability modeling
    Mathematical methods in safety and reliability
    Human reliability modeling
    Experiment Methods in Human Factors
    Aspects of Societal Risk
    Safety, Risk and Reliability: NASA Overview
    Risk-informed Applications in the Nuclear Industry

Product details

  • No. of pages: 600
  • Language: English
  • Copyright: © Academic Press 2023
  • Published: July 1, 2023
  • Imprint: Academic Press
  • Paperback ISBN: 9780323911528

About the Editors

Curtis Smith

Dr. Curtis Smith is the Director for the Idaho National Laboratory Nuclear Safety and Regulatory Research Division. His most recent appointment is in serving as the lead for the Risk Integration and Uncertainty Working Group for the NASA Interagency Nuclear Safety Review Panel (INSRP) on the Mars 2020 mission. Dr. Smith has been in the risk and reliability assessment field for more than 28 years. He has worked at INL as a risk analysis specialist and has served as a consultant for a diverse set of organizations including the Department of Energy (DOE), the Nuclear Regulatory Commission (NRC), the National Aeronautics and Space Administration (NASA), the International Atomic Energy Agency (IAEA), the Federal Aviation Administration (FAA), and other government and private companies. Dr. Smith has published over 200 papers, books, and reports on risk and reliability theory and application. He has taught over 100 technical and university courses on a variety of reliability and safety topics. He holds a Ph.D. in nuclear engineering from Massachusetts Institute of Technology. He is a member of the American Society of Mechanical Engineers, American Nuclear Society, and the Idaho Academy of Sciences.

Affiliations and Expertise

Director, Idaho National Laboratory Nuclear Safety and Regulatory Research Division, Idaho Falls, ID, USA

Diego Mandelli

Dr. Diego Mandelli is an R&D Scientist in the “Reliability, Risk and Resilience Sciences” Department at the Idaho National Laboratory (INL). His areas of expertise include risk, reliability, and system health management. His research focuses on the development of probabilistic methods based on machine learning, data mining and optimization algorithms. He is currently employing these methods to perform state-of-the-art simulation-based safety assessment (also known as dynamic probabilistic risk assessment), system health management and stochastic resource optimization. His developed methods range from data pre-processing, system modeling, system analysis, data mining/visualization, and decision making. He holds a Ph.D. degree in Nuclear Engineering from The Ohio State University (2011). He is a member of the American Nuclear Society.

Affiliations and Expertise

R&D Scientist, Idaho National Laboratory, USA

Katya Le Blanc

Katya Le Blanc is a senior human factors scientist who has been conducting research in the energy sector at INL for 11 years. Her research in nuclear power plant modernization has led transformational change in the way field operators conduct procedures and has improved operator interfaces for control of nuclear power plants. She has designed human-system interfaces for transmission system technologies and cyber security for electric grid operation. She leads research in several complex, multidisciplinary subjects including nuclear power plant modernization, and cyber security risk characterization in nuclear power and critical infrastructure. She is the deputy National Technical Director the Department of Energy Nuclear Energy's Cyber security program, and leads research on cyber security risk management for nuclear power. Katya has over 100 technical publications in the subject of human factors in the energy sector. She is a senior member of IEEE, and holds a PhD and Master’s degree in cognitive psychology from New Mexico State and a BS in Psychology from New Mexico Institute of Mining and Technology.

Affiliations and Expertise

Idaho National Laboratory, Idaho, USA

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