METHODOLOGICAL AND COMPUTATIONAL DEVELOPMENTS FOR FIRE SCENARIO SELECTION AND ANALYSIS IN FIRE PRA OF NUCLEAR POWER PLANTS

Sari Alkhatib, Tatsuya Sakurahara, Seyed Reihani, Ernest Kee, Zahra Mohaghegh, Brian Ratte, Kristin Kaspar, Mary Ann Billings, Sean Hunt

Research output: Contribution to conferencePaperpeer-review

Abstract

A methodological and computational platform called, “SoTeRiA-Fire,” is developed to automate the “Fire Scenario Selection and Analysis (FSS)” step in the Fire Probabilistic Risk Assessment (PRA) of Nuclear Power Plants (NPPs). Although the SoTeRiA-Fire reflects the guidelines of NUREG/CR-6850 and ASME/ANS RA-Sa-2009, it can help NPP reduce resources required for Fire PRA implementation by (a) automating the pre-processing of input data, execution of a fire model, and post-processing of outputs for various tasks in the FSS and (b) providing a mechanism to gradually increase the realism of FSS while screening out insignificant scenarios. The fire hazard propagation event tree in SoTeRiA Fire includes multiple pivotal events: (1) initial fire ignition, (2) ignition of secondary combustibles and fire spread, (3) formation of damaging conditions for target equipment and cables, (4) failure of detection and suppression systems in the exposing compartment containing the initial fire source, (5) failure of fire barriers, and (6) failure of a suppression system in the exposed compartment. The SoTeRiA-Fire assembles the input parameters, conducts required input data processing, and constructs the input files for the Consolidated Model of Fire and Smoke Transport (CFAST) fire simulation program. It then analyzes various combinations or ranges of key input parameters based on the fire propagation event tree logic and prepares the outputs to be post-processed for FSS. SoTeRiA-Fire is applied in a plant and the results are reported; however, the code is applicable for various fire compartments in NPPs and can automate resource-efficient screening for single- or multi-compartment fire scenarios.

Original languageEnglish (US)
Pages953-962
Number of pages10
DOIs
StatePublished - 2021
Event2021 International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2021 - Virtual, Online
Duration: Nov 7 2021Nov 12 2021

Conference

Conference2021 International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2021
CityVirtual, Online
Period11/7/2111/12/21

Keywords

  • Computational Platform
  • Fire Probabilistic Risk Assessment (Fire PRA)
  • Fire Scenario Selection and Analysis (FSS)
  • Hot Gas Layer (HGL) Analysis
  • Multi-Compartment Analysis (MCA)

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Nuclear Energy and Engineering
  • Statistics and Probability
  • Safety, Risk, Reliability and Quality

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