Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization

Motivated by learning from experience and exploiting existing knowledge in civil nuclear operations, we have developed in-house generic Probabilistic Safety Assessment (PSA) models for pressurized and boiling water reactors. The models are computationally light, handy, transparent, user-friendly, an...

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Main Authors: Ali Ayoub, Wolfgang Kröger, Didier Sornette
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Nuclear Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573322001334
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author Ali Ayoub
Wolfgang Kröger
Didier Sornette
author_facet Ali Ayoub
Wolfgang Kröger
Didier Sornette
author_sort Ali Ayoub
collection DOAJ
description Motivated by learning from experience and exploiting existing knowledge in civil nuclear operations, we have developed in-house generic Probabilistic Safety Assessment (PSA) models for pressurized and boiling water reactors. The models are computationally light, handy, transparent, user-friendly, and easily adaptable to account for major plant-specific differences. They cover the common internal initiating events, frontline and support systems reliability and dependencies, human-factors, common-cause failures, and account for new factors typically overlooked in many PSAs. For quantification, the models use generic US reliability data, precursor analysis reports, the ETHZ Curated Nuclear Events Database, and experts’ opinions. Moreover, uncertainties in the most influential basic events are addressed. The generated results show good agreement with assessments available in the literature with detailed PSAs. We envision the models as an unbiased framework to measure nuclear operational risk with the same “ruler”, and hence support inter-plant risk comparisons that are usually not possible due to differences in plant-specific PSA assumptions and scopes. The models can be used for initial risk screening, order-of-magnitude precursor analysis, and other research/pedagogic applications especially when no plant-specific PSAs are available. Finally, we are using the generic models for large-scale precursor analysis that will generate big picture trends, lessons, and insights.
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spelling doaj.art-102b81af810145e99fbd9418550c96242022-12-22T02:32:52ZengElsevierNuclear Engineering and Technology1738-57332022-08-0154829242932Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilizationAli Ayoub0Wolfgang Kröger1Didier Sornette2Chair of Entrepreneurial Risks, D-MTEC, ETH Zürich, Switzerland; ETH Risk Center, ETH Zürich, Switzerland; Corresponding author.Chair of Entrepreneurial Risks, D-MTEC, ETH Zürich, SwitzerlandChair of Entrepreneurial Risks, D-MTEC, ETH Zürich, Switzerland; ETH Risk Center, ETH Zürich, Switzerland; Institute of Risk Analysis, Prediction and Management (Risks-X), Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology (SUSTech), Shenzhen, 518055, ChinaMotivated by learning from experience and exploiting existing knowledge in civil nuclear operations, we have developed in-house generic Probabilistic Safety Assessment (PSA) models for pressurized and boiling water reactors. The models are computationally light, handy, transparent, user-friendly, and easily adaptable to account for major plant-specific differences. They cover the common internal initiating events, frontline and support systems reliability and dependencies, human-factors, common-cause failures, and account for new factors typically overlooked in many PSAs. For quantification, the models use generic US reliability data, precursor analysis reports, the ETHZ Curated Nuclear Events Database, and experts’ opinions. Moreover, uncertainties in the most influential basic events are addressed. The generated results show good agreement with assessments available in the literature with detailed PSAs. We envision the models as an unbiased framework to measure nuclear operational risk with the same “ruler”, and hence support inter-plant risk comparisons that are usually not possible due to differences in plant-specific PSA assumptions and scopes. The models can be used for initial risk screening, order-of-magnitude precursor analysis, and other research/pedagogic applications especially when no plant-specific PSAs are available. Finally, we are using the generic models for large-scale precursor analysis that will generate big picture trends, lessons, and insights.http://www.sciencedirect.com/science/article/pii/S1738573322001334PSAPRARisk analysisPrecursor analysisNuclear safetyOperational experience
spellingShingle Ali Ayoub
Wolfgang Kröger
Didier Sornette
Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization
Nuclear Engineering and Technology
PSA
PRA
Risk analysis
Precursor analysis
Nuclear safety
Operational experience
title Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization
title_full Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization
title_fullStr Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization
title_full_unstemmed Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization
title_short Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization
title_sort generic and adaptive probabilistic safety assessment models precursor analysis and multi purpose utilization
topic PSA
PRA
Risk analysis
Precursor analysis
Nuclear safety
Operational experience
url http://www.sciencedirect.com/science/article/pii/S1738573322001334
work_keys_str_mv AT aliayoub genericandadaptiveprobabilisticsafetyassessmentmodelsprecursoranalysisandmultipurposeutilization
AT wolfgangkroger genericandadaptiveprobabilisticsafetyassessmentmodelsprecursoranalysisandmultipurposeutilization
AT didiersornette genericandadaptiveprobabilisticsafetyassessmentmodelsprecursoranalysisandmultipurposeutilization