The EC MUSA Project on Management and Uncertainty of Severe Accidents: Main Pillars and Status
| Autor: | Olivia Coindreau, Fulvio Mascari, Victor Sanchez-Espinoza, Sara Beck, Sandro Paci, Stephan Brumm, Luis E. Herranz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
safety
Technology Control and Optimization uncertainty quantification 020209 energy Energy Engineering and Power Technology Model parameters 02 engineering and technology 01 natural sciences 7. Clean energy 010305 fluids & plasmas MELCOR 0103 physical sciences 0202 electrical engineering electronic engineering information engineering source term Electrical and Electronic Engineering Uncertainty quantification Engineering (miscellaneous) BEPU Renewable Energy Sustainability and the Environment severe accidents accident management Spent nuclear fuel nuclear fission Reliability engineering Term (time) Accident management Environmental science ddc:600 Energy (miscellaneous) |
| Zdroj: | Energies, Vol 14, Iss 4473, p 4473 (2021) Energies; Volume 14; Issue 15; Pages: 4473 Energies, 14 (15), 4473 |
| ISSN: | 1996-1073 |
| Popis: | 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 AC2) 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. |
| Databáze: | OpenAIRE |
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