Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package
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Le résumé fourni par la source
• Challenges of BEPU method in Severe Accident modelling are explored. • Uncertainty analysis broadens the understanding of Severe Accident sequences • Applications demonstrate the level of readiness for BEPU in Severe Accident modelling. • A large data base of BEPU reactor applications is created in MUSA. The recently completed Horizon-2020 project “Management and Uncertainties of Severe Accidents (MUSA)” has reviewed uncertainty sources and Uncertainty Quantification methodology for assessing Severe Accidents (SA), and has made a substantial effort at stimulating uncertainty applications in predicting the radiological Source Term of reactor and Spent Fuel Pool accident scenarios. The key motivation of the project has been to bring the advantages of the Best Estimate Plus Uncertainty approach to the field of Severe Accident modelling. With respect to deterministic analyses, expected gains are avoiding adopting conservative assumptions, identifying uncertainty bands of estimates, and gaining insights into dominating uncertain parameters. Also, the benefits for understanding and improving Accident Management were to be explored. The reactor applications brought together a large group of participants that set out to apply uncertainty analysis (UA) within their field of SA modelling expertise – in particular reactor types, but also SA code used (ASTEC, MELCOR, MAAP, RELAP/SCDAPSIM), uncertainty quantification tools used (DAKOTA, SUSA, URANIE, self-developed tools based on Python code), detailed accident scenarios, and in some cases SAM actions. The setting up of the analyses, challenges faced during that phase, and solutions explored, are described in Brumm et al. ANE 191 (2023). This paper synthesizes the reactor-application work at the end of the project. Analyses of 23 partners are presented in different categories, depending on whether their main goal is/are (i) uncertainty bands of simulation results; (ii) the understanding of dominating uncertainties in specific sub-models of the SA code; (iii) improving the understanding of specific accident scenarios, with or without the application of SAM actions; or, (iv) a demonstration of the tools used and developed, and of the capability to carry out an uncertainty analysis in the presence of the challenges faced. A cross-section of the partners’ results is presented and briefly discussed, to provide an overview of the work done, and to encourage accessing and studying the project deliverables that are open to the public. Furthermore, the partners’ experiences made during the project have been evaluated and are presented as good practice recommendations. The paper ends with conclusions on the level of readiness of UA in SA modelling, on the determination of governing uncertainties, and on the analysis of SAM actions.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package
- Date Crossref
- 01/02/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Joint Research Centre European Commission pays non établi dans la noticeOrganisme public
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Karlsruhe Institute of Technology pays non établi dans la noticeUniversité ou école supérieure
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Bulgarian Academy of Sciences pays non établi dans la noticeOrganisme public
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Institute for Nuclear Research and Nuclear Energy pays non établi dans la noticeStructure de recherche
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China Nuclear Power Technology Research Institute (China) pays non établi dans la noticeEntreprise
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Belsim (Belgium) pays non établi dans la noticeEntreprise
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Universidad Complutense de Madrid pays non établi dans la noticeUniversité ou école supérieure
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Centro de Investigaciones Energéticas pays non établi dans la noticeStructure de recherche
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Canadian Nuclear Safety Commission pays non établi dans la noticeInstitution
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National Agency for New Technologies ENEA - Agenzia Nazionale per le nuove Tecnologie pays non établi dans la noticeOrganisme public
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Energostal (Ukraine) pays non établi dans la noticeEntreprise
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Software (Spain) pays non établi dans la noticeEntreprise
European Commission — Joint Research Centre, Karlsruhe Institute of Technology et Bulgarian Academy of Sciences, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.