Dynamic PRA Prospects for the Nuclear Industry

This review paper highlights approaches and tools available to the nuclear industry for dynamic probabilistic risk assessment (DPRA) using dynamic event trees. DPRA is an emerging methodology that has advantages as compared to traditional, static PRA predominantly owing to the addition of time depen...

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Autores principales:	Nathan E. Wiltbank, Camille J. Palmer
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	probabilistic risk assessment dynamic PRA nuclear energy generation III+ dynamic models General Works A
Acceso en línea:	https://doaj.org/article/c8f1023a0f67432b84df9a757466e9ef
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spelling	oai:doaj.org-article:c8f1023a0f67432b84df9a757466e9ef2021-11-11T06:41:19ZDynamic PRA Prospects for the Nuclear Industry2296-598X10.3389/fenrg.2021.750453https://doaj.org/article/c8f1023a0f67432b84df9a757466e9ef2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.750453/fullhttps://doaj.org/toc/2296-598XThis review paper highlights approaches and tools available to the nuclear industry for dynamic probabilistic risk assessment (DPRA) using dynamic event trees. DPRA is an emerging methodology that has advantages as compared to traditional, static PRA predominantly owing to the addition of time dependent modeling. Traditional PRAs predefine events and outcomes into Event Trees (ET) and Fault Trees (FT), that are coupled with various combinations of Initiating Events (IE), Top Events (TE), branches, end states and sequences. A more complete depiction of the system and accident progression behavior can be quantified using DPRA to account for dynamic events such as those involving human actions. This paper discusses the strengths and needs of existing DPRA tools to align with the risk informed methodology currently used in the nuclear industry. DPRA is evolving during an exciting time in the nuclear industry with emerging advanced reactor designs also coming on the scene. Advanced nuclear (Gen IV) designs often incorporate passively safe systems that have less readily available data for traditional PRA due to their limited operating history. DPRA is a promising methodology that can address this challenge and demonstrate to the regulatory bodies and public that advanced designs operate within safety margins. In this light, the paper considers the historical role of PRA in the nuclear industry and motivation for considering dynamic PRA models. An introduction to the differences inherent in DPRA and how it complements and enhances existing PRA approaches is discussed. Additionally, a review of research from U.S national laboratories and universities features recent DPRA tool advancements that could be applied in the nuclear industry. These DPRA approaches and tools are summarized and examined to thoughtfully provide a path forward to best leverage existing research and integrate DPRA into advanced reactor design and analysis.Nathan E. WiltbankCamille J. PalmerFrontiers Media S.A.articleprobabilistic risk assessmentdynamic PRAnuclear energygeneration III+dynamic modelsGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	probabilistic risk assessment dynamic PRA nuclear energy generation III+ dynamic models General Works A
spellingShingle	probabilistic risk assessment dynamic PRA nuclear energy generation III+ dynamic models General Works A Nathan E. Wiltbank Camille J. Palmer Dynamic PRA Prospects for the Nuclear Industry
description	This review paper highlights approaches and tools available to the nuclear industry for dynamic probabilistic risk assessment (DPRA) using dynamic event trees. DPRA is an emerging methodology that has advantages as compared to traditional, static PRA predominantly owing to the addition of time dependent modeling. Traditional PRAs predefine events and outcomes into Event Trees (ET) and Fault Trees (FT), that are coupled with various combinations of Initiating Events (IE), Top Events (TE), branches, end states and sequences. A more complete depiction of the system and accident progression behavior can be quantified using DPRA to account for dynamic events such as those involving human actions. This paper discusses the strengths and needs of existing DPRA tools to align with the risk informed methodology currently used in the nuclear industry. DPRA is evolving during an exciting time in the nuclear industry with emerging advanced reactor designs also coming on the scene. Advanced nuclear (Gen IV) designs often incorporate passively safe systems that have less readily available data for traditional PRA due to their limited operating history. DPRA is a promising methodology that can address this challenge and demonstrate to the regulatory bodies and public that advanced designs operate within safety margins. In this light, the paper considers the historical role of PRA in the nuclear industry and motivation for considering dynamic PRA models. An introduction to the differences inherent in DPRA and how it complements and enhances existing PRA approaches is discussed. Additionally, a review of research from U.S national laboratories and universities features recent DPRA tool advancements that could be applied in the nuclear industry. These DPRA approaches and tools are summarized and examined to thoughtfully provide a path forward to best leverage existing research and integrate DPRA into advanced reactor design and analysis.
format	article
author	Nathan E. Wiltbank Camille J. Palmer
author_facet	Nathan E. Wiltbank Camille J. Palmer
author_sort	Nathan E. Wiltbank
title	Dynamic PRA Prospects for the Nuclear Industry
title_short	Dynamic PRA Prospects for the Nuclear Industry
title_full	Dynamic PRA Prospects for the Nuclear Industry
title_fullStr	Dynamic PRA Prospects for the Nuclear Industry
title_full_unstemmed	Dynamic PRA Prospects for the Nuclear Industry
title_sort	dynamic pra prospects for the nuclear industry
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/c8f1023a0f67432b84df9a757466e9ef
work_keys_str_mv	AT nathanewiltbank dynamicpraprospectsforthenuclearindustry AT camillejpalmer dynamicpraprospectsforthenuclearindustry
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Dynamic PRA Prospects for the Nuclear Industry

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