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The EC MUSA project on management and uncertainty of severe accidents: Main pillars and status

Herranz, Luis Enrique; Beck, Sara; Sánchez-Espinoza, Victor Hugo ORCID iD icon 1; Mascari, Fulvio; Brumm, Stephan; Coindreau, Olivia; Paci, Sandro
1 Karlsruher Institut für Technologie (KIT)

Abstract:

In the current state of maturity of severe accident codes, the time has come to foster the systematic application of Best Estimate Plus Uncertainties (BEPU) in this domain. The overall objective of the HORIZON-2020 project on “Management and Uncertainties of Severe Accidents (MUSA)” is to quantify the uncertainties of severe accident codes (e.g., ASTEC, MAAP, MELCOR, and AC2) when modeling reactor and spent fuel pools accident scenarios of Gen II and Gen III reactor designs for the prediction of the radiological source term. To do so, different Uncertainty Quantification (UQ) methodologies are to be used for the uncertainty and sensitivity analysis. Innovative AM measures will be considered in performing these UQ analyses, in addition to initial/boundary conditions and model parameters, to assess their impact on the source term prediction. This paper synthesizes the major pillars and the overall structure of the MUSA project, as well as the expectations and the progress made over the first year and a half of operation.


Verlagsausgabe §
DOI: 10.5445/IR/1000137036
Veröffentlicht am 12.09.2021
Originalveröffentlichung
DOI: 10.3390/en14154473
Scopus
Zitationen: 23
Dimensions
Zitationen: 22
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Neutronenphysik und Reaktortechnik (INR)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1996-1073
KITopen-ID: 1000137036
HGF-Programm 32.12.02 (POF IV, LK 01) Beyond Design Basis and Emergency Management
Erschienen in Energies
Verlag MDPI
Band 14
Heft 15
Seiten 4473
Schlagwörter nuclear fission; safety; severe accidents; BEPU; accident management; uncertainty quantification; source term
Nachgewiesen in Dimensions
Scopus
Web of Science
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