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Elsevier

Risk-informed Methods and Applications in Nuclear and Energy Engineering

Modeling, Experimentation, and Validation

  • 1st Edition - November 15, 2023
  • Latest edition
  • Editors: Curtis Smith, Diego Mandelli, Katya Le Blanc
  • Language: English

Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modelling, Experimentation, and Validation presents a comprehensive view of the latest technical approache… Read more

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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

  • Edition: 1
  • Latest edition
  • Published: November 15, 2023
  • Language: English

About the editors

CS

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

DM

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

KL

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

View book on ScienceDirect

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