Published September 2021 | Version v1
Journal article

Multi-unit nuclear power plant probabilistic risk assessment: A comprehensive survey

  • 1. Center for Risk and Reliability, University of Maryland, College Park, Maryland (United States)
  • 2. Department of Mechanical Engineering, University of Chile, Santiago (Chile)

Description

Highlights: • We present a comprehensive survey and assessment of the state of current knowledge in multi-unit probabilistic risk assessment (MUPRA). • The research and development activities of MUPRA are summarized, including scholarly publications, workshops, proceedings, projects, and case studies. • The MUPRA literature is synthesized and discussed in three facets: multi-unit event characterization, MUPRA methodological development, and site-based risk metrics and risk aggregation. • We discuss the research progress, challenges, and gaps for MUPRA to highlight possible research and development needs. A growing concern regarding probabilistic risk assessments (PRA) is the impact of dependencies among reactor units co-located at a nuclear power site, especially after the March 2011 Fukushima Daiichi accident. To address these dependencies and identify the critical contributors to the entire site risk, multi-unit probabilistic risk assessment (MUPRA) has been actively developed by various research and regulatory agencies. However, possible inter-unit dependencies in MUPRA have led to some technical issues and challenges associated with the development and modeling of initiating events, accident sequences, end states, and risk metrics relevant to multi-unit sites. This paper provides a comprehensive survey and assessment of the state of current knowledge in MUPRA. The critical recent literature is synthesized and discussed, focusing on three facets: multi-unit event characterization, MUPRA methodological development, and site-based risk metrics and risk aggregation. This survey aims to identify the key issues addressed and challenges faced by the research and development activities of MUPRA, and identifies gaps and opportunities for future research and developments.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2021.107782

Additional details

Identifiers

DOI
10.1016/j.ress.2021.107782;
PII
S0951832021003070;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
213
Journal Page Range
vp.
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54018237
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS; S42: ENGINEERING;
Descriptors DEI
AGGLOMERATION; COMPUTERIZED SIMULATION; HAZARDS; METRICS; NUCLEAR POWER; NUCLEAR POWER PLANTS; PROBABILISTIC ESTIMATION; REACTOR ACCIDENTS; RISK ASSESSMENT
Descriptors DEC
ACCIDENTS; CALCULATION METHODS; NUCLEAR FACILITIES; POWER; POWER PLANTS; SIMULATION; THERMAL POWER PLANTS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.