MUSA was founded in HORIZON 2020 EURATOM NFRP-2018 call on “Safety assessments to improve Accident Management strategies for Generation II and III reactors”. On June 15th, 2018 obtains the NUGENIA label that recognizes the excellence of the project. The 4 years Consortium is formed by 29 Organizations (25% non-EU) with an overall cost of € 5,768,452.50 (about 630 person-months). The main objective is to assess the capability of Severe Accident (SA) codes when modeling reactor/Spent Fuel Pool accident scenarios of GEN.II and GEN.III designs. Further goals are: • Identification of Uncertainty Quantification (UQ) methodologies to be employed, with emphasis on the effect of both existing and innovative SA Management (SAM) measures on the accident progression, particularly those related to Source Term (ST) mitigation; • Determination of the state-of-the-art prediction capability of SA codes regarding ST that potentially may be released to the environment, and to the quantification of associated code’s uncertainties applied to SA sequences.

The MUSA Project: Management and Uncertainties of Severe Accidents

S. Paci
Ultimo
Writing – Original Draft Preparation
2020-01-01

Abstract

MUSA was founded in HORIZON 2020 EURATOM NFRP-2018 call on “Safety assessments to improve Accident Management strategies for Generation II and III reactors”. On June 15th, 2018 obtains the NUGENIA label that recognizes the excellence of the project. The 4 years Consortium is formed by 29 Organizations (25% non-EU) with an overall cost of € 5,768,452.50 (about 630 person-months). The main objective is to assess the capability of Severe Accident (SA) codes when modeling reactor/Spent Fuel Pool accident scenarios of GEN.II and GEN.III designs. Further goals are: • Identification of Uncertainty Quantification (UQ) methodologies to be employed, with emphasis on the effect of both existing and innovative SA Management (SAM) measures on the accident progression, particularly those related to Source Term (ST) mitigation; • Determination of the state-of-the-art prediction capability of SA codes regarding ST that potentially may be released to the environment, and to the quantification of associated code’s uncertainties applied to SA sequences.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1040855
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact