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The EC MUSA Project on Management and Uncertainty of Severe Accidents: Main Pillars and Status

Author

Listed:
  • Luis Enrique Herranz

    (Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain)

  • Sara Beck

    (Gesellschaft für Anlagen- und Reaktorsicherheit (GRS), 50667 Köln, Germany)

  • Victor Hugo Sánchez-Espinoza

    (Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany)

  • Fulvio Mascari

    (Agenzia Nazionale per le Nuove Tecnologie, L’energia e lo Sviluppo Economico Sostenibile (ENEA), 40129 Bologna, Italy)

  • Stephan Brumm

    (Joint Research Centre (Petten), European Commission, 1755LE Petten, The Netherlands)

  • Olivia Coindreau

    (Institut de Radioprotection et de Sûreté Nucléaire (IRSN), CEDEX, 13115 Saint-Paul-Lez-Durance, France)

  • Sandro Paci

    (Department of Civil and Industrial Engineering, University of Pisa (UNIPI), 56122 Pisa, Italy)

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 AC 2 ) 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.

Suggested Citation

  • Luis Enrique Herranz & Sara Beck & Victor Hugo Sánchez-Espinoza & Fulvio Mascari & Stephan Brumm & Olivia Coindreau & Sandro Paci, 2021. "The EC MUSA Project on Management and Uncertainty of Severe Accidents: Main Pillars and Status," Energies, MDPI, vol. 14(15), pages 1-11, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4473-:d:600567
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    Citations

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    Cited by:

    1. Noura Elsalamouny & Tadas Kaliatka, 2021. "Uncertainty Quantification of the PHEBUS FPT-1 Test Modelling Results," Energies, MDPI, vol. 14(21), pages 1-17, November.

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