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