Post-BEMUSE Reflood Model Input Uncertainty Methods (PREMIUM) Benchmark: Final Report

NEA/CSNI/R(2016)18
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PREMIUM is the follow-up of a series of projects promoted by NEA/CSNI and focused on the issue of best estimate plus uncertainty (BEPU) analysis of thermo-hydraulic accident scenarios in nuclear plants. The series started with uncertainty methodology study (UMS) and continued with best estimate methods uncertainty and sensitivity evaluation (BEMUSE).

The quantification of the uncertainty associated to predictive models is an important issue in the field of BEPU analyses. A majority of present BEPU methodologies are based on the propagation of uncertainties from inputs to outputs of predictive models (implemented in computational codes). For this reason, the various input uncertainties must be analysed and quantified.

The present report compiles and summarises the work performed in the PREMIUM benchmark .