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Title: Risk-Informed Systems Analysis (RISA) Dynamic Fire PRA Roadmap

Abstract

Modeling and implementing fire safety for nuclear power plants is a costly activity. Because of the complexity of fire phenomenon and multiple operational procedures, it is difficult to computationally provide assurance that the mitigation methods are adequate for critical areas using current analysis methods. An economical method to provide more accurate modeling and optimize mitigation methods is needed to improve nuclear power viability. This report describes the initial investigation into modeling and simulation tools for application of fire as part of the Risk-Informed Systems Analysis (RISA), formerly Risk-Informed Safety Margin Characterization (RISMC). The report provides a framework of how 3D modeling and simulation techniques could be combined with a dynamic Probabilistic Risk Analysis (PRA) to reduce compounding conservatism present in current Fire PRA methods. Electrical Power Research Institute has analyzed current Fire PRA practices and identified the most significant contributors to risk and areas for improving analysis. This framework describes how to apply dynamic PRA and simulation methods for key contributors/scenarios, credit missing factors of manual fire suppression, and applying conditional probabilities.

Authors:
 [1];  [1];  [1]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1467474
Report Number(s):
INL/EXT-18-44926-Rev000
TRN: US1902740
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 22 GENERAL STUDIES OF NUCLEAR REACTORS; NUCLEAR POWER PLANTS; SYSTEMS ANALYSIS; FIRES; HAZARDS; NUCLEAR POWER; RISK ASSESSMENT; dynamic PRA; risk assessment; PRA; Fire PRA

Citation Formats

Prescott, Steven, Sampath, Ramprasad, and Biersdorf, John. Risk-Informed Systems Analysis (RISA) Dynamic Fire PRA Roadmap. United States: N. p., 2018. Web. doi:10.2172/1467474.
Prescott, Steven, Sampath, Ramprasad, & Biersdorf, John. Risk-Informed Systems Analysis (RISA) Dynamic Fire PRA Roadmap. United States. doi:10.2172/1467474.
Prescott, Steven, Sampath, Ramprasad, and Biersdorf, John. Thu . "Risk-Informed Systems Analysis (RISA) Dynamic Fire PRA Roadmap". United States. doi:10.2172/1467474. https://www.osti.gov/servlets/purl/1467474.
@article{osti_1467474,
title = {Risk-Informed Systems Analysis (RISA) Dynamic Fire PRA Roadmap},
author = {Prescott, Steven and Sampath, Ramprasad and Biersdorf, John},
abstractNote = {Modeling and implementing fire safety for nuclear power plants is a costly activity. Because of the complexity of fire phenomenon and multiple operational procedures, it is difficult to computationally provide assurance that the mitigation methods are adequate for critical areas using current analysis methods. An economical method to provide more accurate modeling and optimize mitigation methods is needed to improve nuclear power viability. This report describes the initial investigation into modeling and simulation tools for application of fire as part of the Risk-Informed Systems Analysis (RISA), formerly Risk-Informed Safety Margin Characterization (RISMC). The report provides a framework of how 3D modeling and simulation techniques could be combined with a dynamic Probabilistic Risk Analysis (PRA) to reduce compounding conservatism present in current Fire PRA methods. Electrical Power Research Institute has analyzed current Fire PRA practices and identified the most significant contributors to risk and areas for improving analysis. This framework describes how to apply dynamic PRA and simulation methods for key contributors/scenarios, credit missing factors of manual fire suppression, and applying conditional probabilities.},
doi = {10.2172/1467474},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

Technical Report:

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