A nonintrusive adaptive reduced order modeling approach for a molten salt reactor system

Journal Article (2020)
Author(s)

F.S. Alsayyari (TU Delft - RST/Reactor Physics and Nuclear Materials)

M. Tiberga (TU Delft - RST/Reactor Physics and Nuclear Materials)

Zoltan Perko (TU Delft - RST/Reactor Physics and Nuclear Materials)

Danny Lathouwers (TU Delft - RST/Reactor Physics and Nuclear Materials)

Jan-Leen Kloosterman (TU Delft - RST/Radiation, Science and Technology)

Research Group
RST/Reactor Physics and Nuclear Materials
Copyright
© 2020 F.S. Alsayyari, M. Tiberga, Z. Perko, D. Lathouwers, J.L. Kloosterman
DOI related publication
https://doi.org/10.1016/j.anucene.2020.107321
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 F.S. Alsayyari, M. Tiberga, Z. Perko, D. Lathouwers, J.L. Kloosterman
Research Group
RST/Reactor Physics and Nuclear Materials
Volume number
141
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We use a novel nonintrusive adaptive Reduced Order Modeling method to build a reduced model for a molten salt reactor system. Our approach is based on Proper Orthogonal Decomposition combined with locally adaptive sparse grids. Our reduced model captures the effect of 27 model parameters on keff of the system and the spatial distribution of the neutron flux and salt temperature. The reduced model was tested on 1000 random points. The maximum error in multiplication factor was found to be less than 50 pcm and the maximum L2 error in the flux and temperature were less than 1%. Using 472 snapshots, the reduced model was able to simulate any point within the defined range faster than the high-fidelity model by a factor of 5×106. We then employ the reduced model for uncertainty and sensitivity analysis of the selected parameters on keff and the maximum temperature of the system.