Academia-Industry Collaboration to Advance Screening Processes in Fire PRA of Nuclear Power Plants

Sari Alkhatib, Tatsuya Sakurahara, Seyed Reihani, Ernie Kee, Brian Ratte, Zahra Mohaghegh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

During the past years, the authors have focused on the development of an Integrated Probabilistic Risk Assessment (I-PRA) methodological framework to increase the realism of fire risk analysis for Nuclear Power Plants (NPPs). In 2019, an academia-industry collaboration project was initiated to expand the Fire I-PRA research to a full-scope NPP. In the first phase of this project, a screening process was required to find critical fire scenarios that could benefit the most from a detailed analysis using the Fire I-PRA methodological framework. This paper reports on the progress of the first phase of the project focusing on advancements of the screening process for Fire PRA. The Risk- Informed over Deterministic (RoverD) screening methodology is introduced to gradually improve the Degree of Realism (DoR) and guide the screening process based on the estimation of risk and the associated cost (e.g., cost related to the required data collection for advancing DoR). The RoverD methodology is based on utilizing a blend of deterministically and risk-based elements to demonstrate compliance with the regulatory requirements. This study discusses a spectrum of DoR in the screening process of risk-informed applications where the DoR is gradually and efficiently increased. Although the RoverD methodology is applicable for divers risk-informed applications, this paper covers its implementation for Fire PRA. In the case study, two fire modeling approaches (i.e., engineering correlations and zone models) are used to investigate the impact of improving the DoR in the screening process, specifically advancing the DoR in the Zone of Influence (ZOI) of fixed ignition sources.

Original languageEnglish (US)
Title of host publication30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020
EditorsPiero Baraldi, Francesco Di Maio, Enrico Zio
PublisherResearch Publishing Services
Pages4270-4277
Number of pages8
ISBN (Electronic)9789811485930
StatePublished - 2020
Event30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 - Venice, Virtual, Italy
Duration: Nov 1 2020Nov 5 2020

Publication series

Name30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020

Conference

Conference30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020
Country/TerritoryItaly
CityVenice, Virtual
Period11/1/2011/5/20

Keywords

  • Degree of Realism (DoR)
  • Fire PRA
  • Fire RoverD
  • Probabilistic Risk Assessment (PRA)
  • Risk-Informed over Deterministic (RoverD)
  • Screening Process
  • Zone of Influence (ZOI)

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research

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