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MANAGEMENT AND UNCERTAINTIES OF SEVERE ACCIDENTS

Resultado final

Progress report 1

Executive summary of the progress of the project for a better monitoring of the project

Advisory Board recommendations

Collection of recommendations given by the advisory board for the project

Review of uncertainty methodologies and tools applicable to SA codes for the prediction of ST
Communication and dissemination strategy
Assessment of potential benefits from innovative mitigation systems for an SA in an SFP
Report on Education and training activities
Best-practice Guidelines of uncertainty quantification performed within MUSA project

Bestpractice Guidelines of uncertainty quantification performed within MUSA project

Report on communication and dissemination activities
Recommendations on R&D efforts for reducing ST uncertainty released to the environment

Recommendations on RD efforts for reducing ST uncertainty released to the environment

Major sources of uncertainties of severe accidents in LWR and SFP affecting the ST

Final version of the Major sources of uncertainties of severe accidents in LWR and SFP affecting the ST

End User Group requests

Description of the collection of requests performed by the end user group

Review of SAM measures for SFP accident ST Mitigation and proposals of innovative mitigation measures and systems for an SA in an SFP
Results of uncertainty assessment of ST released to the environment
Guidelines for the use of uncertainty tools for SA codes to predict source term
UQ in integral SA experiments: Results and lessons learned on application to ST

UQ in integral SA experiments Results and lessons learned on application to ST

Main uncertainties on accident progression and FP release in an SA in an SFP
Best practices for the assessment of ST uncertainty when performing severe accident simulations with SAM actions using system codes
Progress report 2

Executive summary of the progress of the project for a better monitoring of the project

Publicaciones

Coupling of ASTEC 2.1.1.6 and RASCAL 4.3 Codes to Evaluate the Source Term and the radiological Consequences of a Loss-of-Cooling Accident at a Spent Fuel Pool

Autores: Guglielmelli A.; Ederli S.; Mascari F.; Rocchi F.; Maccari P.
Publicado en: 29th international conference nuclear energy for new europe, 2020
Editor: ASME Journal of Nuclear Engineering and Radiation Science

CIEMAT’s outcomes from the PHEBUS-FPT1 uncertainty analysis in the framework of the EU-MUSA project

Autores: Rafael Bocanegra, Luis E. Herranz CIEMAT Avenida Complutense 40, 28040 Madrid, Spain rafael.bocanegra@ciemat.es, luisen.herranz@ciemat.es
Publicado en: 2022
Editor: The 10th European Review Meeting on Severe Accident Research (ERMSAR2022)

The MUSA Project: Management and Uncertainties of Severe Accidents

Autores: Herranz, L. E.; Paci, S.
Publicado en: Edición 4, 2020
Editor: Publications Office for the EU
DOI: 10.2777/83061

UNCERTAINTY QUANTIFICATION FOR A SEVERE ACCIDENT SEQUENCE IN A SFP IN THE FRAME OF THE H-2020 PROJECT MUSA: FIRST OUTCOMES

Autores: O. Coindreau IRSN Centre de Cadarache, B.P. 3 – 13115 Saint-Paul-lez-Durance Cedex, France olivia.coindreau@irsn.fr L.E. Herranz, R. Bocanegra Nuclear Safety Research Unit, Department of Energy, CIEMAT Avda. Complutense 40 Edificio 12-P0-13, 28040 Madrid, Spain luisen.herranz@ciemat.es, rafael.bocanegra@ciemat.es S. Ederli, P. Maccari, F. Mascari ENEA Lungotevere Thaon di Revel 76, 00196 Roma, I
Publicado en: 2022
Editor: The 10th European Review Meeting on Severe Accident Research (ERMSAR2022)

THE PARAMETRIC SENSITIVITY ANALYSIS OF FPT-1 MELCOR 2.2 INPUT DECK AS A PREPARATION FOR UNCERTAINTY QUANTIFICATION STUDY

Autores: M. Malicki, T. Lind, J. Kalilainen Paul Scherrer Institute Forschungsstrasse 111, 5232 Villigen, PSI, Switzerland mateusz.malicki@psi.ch, terttaliisa.lind@psi.ch, jarmo.kalilainen@gmail.com
Publicado en: 2022
Editor: The 10th European Review Meeting on Severe Accident Research (ERMSAR2022)

UNCERTAINTY AND SENSITIVITY ANALYSIS OF THE ASTEC SIMULATIONS RESULTS OF A MBLOCA SCENARIO IN A GENERIC KONVOI PLANT USING THE FSTC TOOL

Autores: A Stakhanova, F. Gabrielli, V.H. Sanchez-Espinoza Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, Germany anastasia.stakhanova@kit.edu; fabrizio.gabrielli@kit.edu; victor.sanchez@kit.edu E. Pauli Framatome GmbH Paul Gossen Straße 100, 91052 Erlangen, Germany eva-maria.pauli@framatome.com A. Hoefer Framatome GmbH Seligenstädter Straße 100, 63791 K
Publicado en: 2022
Editor: The 10th European Review Meeting on Severe Accident Research (ERMSAR2022)

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