Project description
Detecting uncertainties in severe accident management
The continuous efforts to raise nuclear safety to the highest standards possible has pointed the need to assess the methodologies used in severe accident simulation. The overall objective of the MUSA project is to assess the capability of severe accident codes when modelling reactor and SFP (Spent Fuel Pool) accident scenarios of Gen II and Gen III reactor designs. To do so UQ (Uncertainty Quantification) methodologies are to be used, with emphasis on the effect of already-set and innovative accident management measures on accident unfolding, particularly those related to ST (Source Term) mitigation. Therefore, ST related FOM (Figures Of Merit) are to be used in the UQ application. Given the focus of FOM on source term, the project will identify variables governing ST uncertainties that would be worth investigating further.
Objective
In the current state of maturity of severe accident codes in terms of phenomena addressed and extensive validation conducted, the time has come to foster BEPU,Best Estimate Plus Uncertainties, application in the severe accident (SA) domain, and accident management (AM). The advantages with respect to deterministic analysis are known: avoid adopting conservative assumptions in the model and allow identifying safety margins, quantify likelihood of reaching specific values and, through the distribution variance provide insights into dominating uncertain parameters.The overall objective of the Management and Uncertainties of Severe Accident (MUSA) project is to assess the capability of SA codes when modelling reactor and SFP (Spent Fuel Pool) accident scenarios of Gen II and III. To do so UQ (Uncertainty Quantification) methods are to be used, with emphasis on the effect of already-set and innovative accident management measures on accident unfolding, particularly those related to ST (Source Term) mitigation. Therefore, ST related Figures Of Merit (FOM) are to be used in the UQ application. The MUSA project proposes an innovative research agenda in order to move forward the predictive capability of SA analysis codes by combining them with the best available/improved UQ tools and embedding accident management as an intrinsic aspect of SA analyses.MUSA develops through key activities which also describe the main outcomes foreseen from the project: identification and quantification of uncertainty sources in SA analyses; review and adaptation of UQ methods; and testing such methods against reactor and SFP accident analyses, including AM. Given the focus of FOM on source term, the project will identify variables governing ST uncertainties that would be worth investigating further. All the ingredients necessary to conduct the project are already available: analytical tools, experimental data, postulated reactor and SFP scenarios and, technical and scientific competences.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
28040 MADRID
Spain
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Participants (29)
Legal entity established in a non-associated third country that is not eligible for funding under Article 10 of the Regulation (EU) No 1290/2013 laying down the rules for participation and dissemination in Horizon 2020.
20555-0001 Rockville
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1070 Bruxelles / Brussel
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75015 PARIS 15
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518026 SHENZHEN FUTIAN DISTRICT
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K1P 5S9 Ottawa
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00196 Roma
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03148 Kyiv
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
94304 1395 Palo Alto
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91052 Erlangen
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50667 Koln
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1784 Sofia
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92260 Fontenay Aux Roses
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319 1184 Ibaraki
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1049 Bruxelles / Brussel
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305 353 DAEJEON
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76131 Karlsruhe
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LT-44403 Kaunas
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75011 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
55100 Lucca
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5232 Villigen Psi
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03142 Kyiv
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1000 BRUXELLES
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1000 Sofia
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56126 Pisa
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00185 Roma
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LT-44248 Kaunas
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02150 Espoo
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WA16 8QZ Knutsford
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08552 Taradell
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