A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks

This limited-scope study demonstrates the application of probabilistic risk assessment (PRA) methodologies to a spent fuel storage system for spent pebble-filled dry cask with a focus only on the necessary PRA technical elements sufficient to risk-inform the spent fuel storage system design. A dropp...

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Main Authors: Joomyung Lee, Havva Tayfur, Mostafa M. Hamza, Yahya A. Alzahrani, Mihai A. Diaconeasa
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Eng
Subjects:
Online Access:https://www.mdpi.com/2673-4117/4/2/94
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author Joomyung Lee
Havva Tayfur
Mostafa M. Hamza
Yahya A. Alzahrani
Mihai A. Diaconeasa
author_facet Joomyung Lee
Havva Tayfur
Mostafa M. Hamza
Yahya A. Alzahrani
Mihai A. Diaconeasa
author_sort Joomyung Lee
collection DOAJ
description This limited-scope study demonstrates the application of probabilistic risk assessment (PRA) methodologies to a spent fuel storage system for spent pebble-filled dry cask with a focus only on the necessary PRA technical elements sufficient to risk-inform the spent fuel storage system design. A dropping canister scenario in a silo of the spent fuel storage system is analyzed through an initiating event (IE) identification from the Master Logic Diagram (MLD); event sequence analysis (ES) by establishing the event tree; data analysis (DA) for event sequence quantification (ESQ) with uncertainty quantification; mechanistic source term (MST) analysis by using ORIGEN; radiological consequence analysis (RC) by deploying MicroShield, and risk integration (RI) by showing the Frequency-Consequence (F-C) target curve in the emergency area boundary (EAB). Additionally, a sensitivity study is conducted using the ordinary least square (OLS) regression method to assess the impact of variables such as failed pebble numbers, their location in the canister, and building wall thickness. Furthermore, the release categories grouped from the end states in the event tree are verified as safety cases through the F-C curve. This study highlights the implementation of PRA elements in a logical and structured manner, using appropriate methodologies and computational tools, thereby showing how to risk-inform the design of a dry cask system for storing spent pebble-filled fuel.
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spelling doaj.art-87f56f7ab8ad494992a9c9afe14a90f12023-11-18T10:15:15ZengMDPI AGEng2673-41172023-06-01421655168310.3390/eng4020094A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry CasksJoomyung Lee0Havva Tayfur1Mostafa M. Hamza2Yahya A. Alzahrani3Mihai A. Diaconeasa4Department of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USADepartment of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USADepartment of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USADepartment of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USADepartment of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USAThis limited-scope study demonstrates the application of probabilistic risk assessment (PRA) methodologies to a spent fuel storage system for spent pebble-filled dry cask with a focus only on the necessary PRA technical elements sufficient to risk-inform the spent fuel storage system design. A dropping canister scenario in a silo of the spent fuel storage system is analyzed through an initiating event (IE) identification from the Master Logic Diagram (MLD); event sequence analysis (ES) by establishing the event tree; data analysis (DA) for event sequence quantification (ESQ) with uncertainty quantification; mechanistic source term (MST) analysis by using ORIGEN; radiological consequence analysis (RC) by deploying MicroShield, and risk integration (RI) by showing the Frequency-Consequence (F-C) target curve in the emergency area boundary (EAB). Additionally, a sensitivity study is conducted using the ordinary least square (OLS) regression method to assess the impact of variables such as failed pebble numbers, their location in the canister, and building wall thickness. Furthermore, the release categories grouped from the end states in the event tree are verified as safety cases through the F-C curve. This study highlights the implementation of PRA elements in a logical and structured manner, using appropriate methodologies and computational tools, thereby showing how to risk-inform the design of a dry cask system for storing spent pebble-filled fuel.https://www.mdpi.com/2673-4117/4/2/94probabilistic risk assessmentspent fuel storage systemspent pebble-filled dry caskPRA elementsrisk quantification
spellingShingle Joomyung Lee
Havva Tayfur
Mostafa M. Hamza
Yahya A. Alzahrani
Mihai A. Diaconeasa
A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks
Eng
probabilistic risk assessment
spent fuel storage system
spent pebble-filled dry cask
PRA elements
risk quantification
title A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks
title_full A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks
title_fullStr A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks
title_full_unstemmed A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks
title_short A Limited-Scope Probabilistic Risk Assessment Study to Risk-Inform the Design of a Fuel Storage System for Spent Pebble-Filled Dry Casks
title_sort limited scope probabilistic risk assessment study to risk inform the design of a fuel storage system for spent pebble filled dry casks
topic probabilistic risk assessment
spent fuel storage system
spent pebble-filled dry cask
PRA elements
risk quantification
url https://www.mdpi.com/2673-4117/4/2/94
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