Education and Training in the MUSA Project on Management and Uncertainties of Severe Accidents
Authors/Creators
- 1. University of Pisa
- 2. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)
Description
Numerical tools are widely used to assess Nuclear Power Plants (NPP) behaviour during postulated Severe Accidents (SA). However, uncertainties are intrinsically associated to their predictions. Even though, mathematical tools for quantification of code uncertainties have been under development for many years, Uncertainty Quantifications (UQ) with Best Estimate system codes have not been systematically used in SA analyses. MUSA has an “innovative research agenda” to move beyond the state-of-the-art regarding the predictive capability of SA analysis codes by combining them with the best available UQ tools. By doing so, not only the prediction of timing for the failure of safety barriers and of the radiological Source Term (ST) will be possible, but also the quantification of the uncertainty bands of selected analysis results, considering any relevant source of uncertainty, will be provided
Files
poster_NESTet_MUSA_Paci.pdf
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(336.4 kB)
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