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A review of the assessment of severe accident management guidelines and actions through analytical simulations
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety. Yunnan Power Grid, Kunming 650217, Peoples R China..
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0002-8917-7720
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0001-7816-8442
2023 (English)In: Annals of Nuclear Energy, ISSN 0306-4549, E-ISSN 1873-2100, Vol. 180, p. 109448-, article id 109448Article, review/survey (Refereed) Published
Abstract [en]

The generic severe accident management guidelines (SAMG) were developed as a response to TMI-2 accident to improve the defense-in-depth (DiD) concept of light water reactors (LWRs). Various SAMGs were developed for plant specific application considering different objectives of severe accident management (SAM) and design features of nuclear reactors. To verify and validate the effectiveness of SAMG and SAM actions for mitigating accident consequences and terminating accident progression, the analytical simulation through best estimate codes were performed extensively to provide quantitative details for the assessment of an SAMG and its actions. The present study is carried out to review the representative works concerned with the assessment of SAMG actions in the pressurized water reactors (PWR) and European VVERs using analytical simulation. The outcomes would be valid to realize the improvement and development of assessment methodology in future studies.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 180, p. 109448-, article id 109448
Keywords [en]
Severe accident management (SAM), SAM actions, Severe accident management guidelines , (SAMG), Analytical simulation, Best-estimate code
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Identifiers
URN: urn:nbn:se:kth:diva-319720DOI: 10.1016/j.anucene.2022.109448ISI: 000860714400003Scopus ID: 2-s2.0-85137782358OAI: oai:DiVA.org:kth-319720DiVA, id: diva2:1704186
Note

QC 20221017

Available from: 2022-10-17 Created: 2022-10-17 Last updated: 2022-10-17Bibliographically approved

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Zhao, NanMa, WeiminBechta, Sevostian

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CiteExportLink to record
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  • apa
  • ieee
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