Reliability and Probabilistic Safety Assessment in Multi-Unit Nuclear Power Plants
- 1st Edition - February 9, 2023
- Imprint: Academic Press
- Author: Senthil C. Kumar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 9 3 9 2 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 9 3 9 3 - 8
Reliability and Probabilistic Safety Assessment in Multi-Unit Nuclear Power Plants presents the risk contributions from single and multi-unit Nuclear Power Plants to help aggreg… Read more
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Request a sales quoteReliability and Probabilistic Safety Assessment in Multi-Unit Nuclear Power Plants presents the risk contributions from single and multi-unit Nuclear Power Plants to help aggregate the risks that may arise due to applicable hazards and operating states. The book combines the key features of multi-unit risk assessment in one resource, reviewing the practices adopted in various countries around the globe to exemplify the dependencies between units on a site. These dependencies include multi-unit interactions, environmental stresses, the sharing of systems, and the sharing of human resource in a control room, factors which can all introduce an increase potential for heightened accident conditions. This book helps readers systematically identify events and evaluate techniques of possible accident outcomes within multi-units. It serves as a ready reference for PSA analysts in identifying a suitable site and the sharing of resources, while carrying out multi-unit risk assessments to ensure the safety of the public and the environment. It will also be valuable for nuclear researchers, designers and regulators of nuclear power plants, nuclear regulatory agencies, PSA engineers and practicing safety professionals.
- Provides a framework for nuclear and PSA researchers and professionals on the design and operation of multi-unit risk assessments
- Reviews practices adopted in various regions around the globe to analyze dependencies between units
- Includes modeling techniques of inter-connections and shared resources, as well as risk aggregation
PSA engineers, nuclear engineers in multi-unit PSA, Nuclear plant designers, nuclear R&D institutions, utility companies, nuclear regulatory agencies, graduate students and academics on nuclear/reliability engineering courses, safety professionals
- Cover Image
- Title Page
- Copyright
- Dedication
- Table of Contents
- About the Author
- Preface
- Chapter 1 Reliability modeling
- Contents
- 1.1 Reliability mathematics
- 1.2 Probability theory
- 1.3 Probability distributions
- 1.4 System reliability
- Further readings
- Chapter 2 Introduction to probabilistic safety assessment
- Contents
- 2.1 Safety approach in NPPs—defense-in-depth
- 2.2 Need for PSA
- 2.3 Regulatory decision making with PSA insights
- 2.4 Approaches for regulatory decisions
- 2.5 Quality assurance
- 2.6 Standardization of PSA
- 2.7 PSA methodology
- 2.8 Initiating event frequency
- 2.9 Component data
- 2.10 Human reliability
- 2.11 Dependence analysis
- 2.12 Passive systems
- 2.13 Software reliability
- 2.14 Uncertainty analysis
- 2.15 Sensitivity analysis
- 2.16 Importance measures
- 2.17 Applications of PSA
- Further readings
- Chapter 3 Risk assessment
- Contents
- 3.1 Background
- 3.2 Objective and scope
- 3.3 Qualitative and quantitative methods of risk assessment
- Further readings
- Chapter 4 Site safety goals
- Contents
- 4.1 Multi-unit considerations
- 4.2 Site safety goals
- 4.3 Site safety goals—international scenario
- 4.4 Multi-criteria analysis for risk metrics
- 4.5 Communication of risk information to public and their perception
- Further readings
- Chapter 5 Challenges in risk assessment of multiunit site
- Contents
- 5.1 Key issues
- 5.2 Methods for integrated risk assessment
- 5.3 Seismic PSA for multiunit site
- 5.4 MUPSA for Level 2
- 5.5 MUPSA for Level 3
- Further readings
- Chapter 6 Risk aggregation
- Contents
- 6.1 Unit level
- 6.2 Site level
- 6.3 Aspects to be considered in risk aggregation
- 6.4 Risk aggregation and its effect on risk metric
- 6.5 Mathematical aspects of risk aggregation
- 6.6 Interpretation of results
- 6.7 Risk aggregation for risk-informed decisions
- Further readings
- Chapter 7 Human reliability
- Contents
- 7.1 Introduction
- 7.2 Types of human errors
- 7.3 Human error in nuclear power plants
- 7.4 Human reliability models
- 7.5 HRA generations
- 7.6 Human cognitive architecture
- 7.7 HRA in the context of multiunit PSA
- Further readings
- Chapter 8 Common cause failures and dependency modeling in single and multiunit NPP sites
- Contents
- 8.1 Dependent failures
- 8.2 Common cause failures
- 8.3 CCF models
- 8.4 Impact vector method to estimate the alpha factors
- 8.5 Approach for interunit CCF in multiunit sites
- Further readings
- Chapter 9 International studies related to multiunit PSA: A review
- Contents
- 9.1 Seabrook PSA
- 9.2 Byron and Braidwood PSA
- 9.3 Research work at Maryland University, United States
- 9.4 Korea Atomic Energy Research Institute
- 9.5 CANDU Owners Group
- 9.6 Multiunit PSA studies at EDF France
- 9.7 Fukushima Daiichi experience
- 9.8 MUPSA research in India
- 9.9 MUPSA approach in the United Kingdom
- 9.10 Site risk model development in Hungary
- 9.11 Other countries
- 9.12 Summary of international experience on MUPSA
- Further readings
- Chapter 10 Multiunit risk assessment for small modular reactors
- Contents
- 10.1 Introduction
- 10.2 Small modular reactors
- 10.3 Multiunit risk in chemical industries
- Further readings
- Chapter 11 Summary
- Contents
- 11.1 Case study and conclusions
- 11.2 Different approaches for MUPSA
- 11.3 Application of MUPSA methodology
- 11.4 Insights and lessons learnt in MUPSA
- 11.5 Closure
- Further readings
- Index
- Edition: 1
- Published: February 9, 2023
- Imprint: Academic Press
- No. of pages: 292
- Language: English
- Paperback ISBN: 9780128193921
- eBook ISBN: 9780128193938
SK
Senthil C. Kumar
Dr. Senthil C. Kumar has over 28 years of research experience at the Indian Atomic Energy Regulatory Board (AERB) and is presently Head of Risk Assessment and GIS section of AERB-Safety Research Institute at Kalpakkam. His areas of specialization include: Reliability Engineering, Risk Assessment studies, Probabilistic Safety Assessment, Software reliability, Seismic Safety, Statistical analysis, etc. Dr. Kumar was involved in the Level-1 probabilistic safety assessment of Prototype Fast Breeder reactor, specifically in the reliability analysis of shutdown system, decay heat removal system, power supply system and in Passive system reliability analysis. He has significantly contributed to the seismic re-evaluation of Fast Breeder Test Reactor at Kalpakkam. His post-doctoral study is in the area of Software reliability for computer-based systems in safety critical operations, real-time scheduling for adaptive fault tolerance in multiprocessor systems, software testing, fault injection and mutation studies.
After his Ph.D. in Reliability in Anna University in 2005, Dr. Kumar did his post-doctoral research in Sweden in 2009-10. He has guided 5 Ph.D. students, two MS students and several research fellows. He is a reviewer of journal articles in Elsevier publications and has authored / co-authored more than 26 international peer-reviewed journal publications and several national publications.
Affiliations and expertise
Head of Risk Assessment and GIS section, AERB-Safety Research Institute, Kalpakkam, IndiaRead Reliability and Probabilistic Safety Assessment in Multi-Unit Nuclear Power Plants on ScienceDirect