Analysis of the Molten Salt Fast Reactor using reduced-order models

Fahad Alsayyari, Marco Tiberga, Zoltán Perkó, Jan Leen Kloosterman, Danny Lathouwers

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Abstract

In this paper, we present a reduced-order modeling approach to study the Molten Salt Fast Reactor (MSFR). Our approach is nonintrusive and based on the proper orthogonal decomposition method. We include adaptivity in selecting the sampling points both in time and parameter space. Steady-state and transient analysis were both performed using the developed models. In the steady-state analysis, we capture the effect of 30 model parameters on the spatial distributions of fission power and temperature, and on the multiplication factor. The dimensionality of the fission power was reduced from the 104288 nominal dimensions in the physical space to 10 dimensions in the reduced space, whereas the temperature was reduced from 220972 dimensions to 3. The reduced model was then used for uncertainty and sensitivity study of the maximum temperature in the reactor and the multiplication factor. In the transient analysis, the reduced model captured the effect of perturbations in the flow rate of salt in the intermediate circuit on the fission power density and temperature. The reduced models were successfully tested on a set of points that were not part of the snapshots used during the construction stage.

Original languageEnglish
Article number103909
JournalProgress in Nuclear Energy
Volume140
DOIs
Publication statusPublished - 2021

Keywords

  • Adaptive
  • Data-driven
  • Molten Salt Fast Reactor
  • Proper orthogonal decomposition
  • Transient analysis
  • Uncertainty and sensitivity analysis

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