Applicability analysis of reduced order modeling methods for fluid dynamics in molten salt reactor

BackgroundFor high-fidelity simulations of fluid dynamics in molten salt reactor (MSR), even though a supercomputer is able to suppress the period of each simulation, the consequent expense is still prohibitively costly. A possible way to overcome this limitation is the use of Reduced Order Modelling (ROM) techniques.PurposeThis study aims to evaluate the accuracy of the ROM methods for reconstructing the velocity and pressure fields.MethodsTwo ROM methods based on the Proper Orthogonal Decomposition (POD) with both Galerkin projection, namely FV-ROM (ROM based on Finite Volume approximation) and SUP-ROM (ROM with supremizer stabilization), were established for fluid dynamics of MSR. Then, both methods were tested on the unsteady cases of liquid-fueled molten salt reactor (LFMSR) for comparison and applicability analysis.ResultsThe FV-ROM demonstrates notable advantages in both velocity prediction and computational efficiency. For laminar and turbulent transient simulations, the average velocity L2 relative errors are less than 0.5% and 0.6%, respectively, with acceleration ratios of approximately 1 500 and 1 000 times for single time steps. Conversely, the SUP-ROM scheme demonstrates significant prowess in pressure prediction, achieving remarkably low pressure average L2 relative errors of 0.20% and 0.38% for laminar and turbulent transient scenario, respectively.ConclusionsResults of this study indicate that combination of SUP-ROM and FV-ROM for fluid dynamics computations of MSR can significantly enhance computational efficiency and ensure reliability and accuracy of transient simulation.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.11889/j.0253-3219.2024.hjs.47.090604
Citations
1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.28
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Applicability analysis of reduced order modeling methods for fluid dynamics in molten salt reactor

1 citations
SHILAP Revista de lepidopterología
Model Reduction and Neural Networks
0.28
article

Applicability analysis of reduced order modeling methods for fluid dynamics in molten salt reactor

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1 citations

Abstract

BackgroundFor high-fidelity simulations of fluid dynamics in molten salt reactor (MSR), even though a supercomputer is able to suppress the period of each simulation, the consequent expense is still prohibitively costly. A possible way to overcome this limitation is the use of Reduced Order Modelling (ROM) techniques.PurposeThis study aims to evaluate the accuracy of the ROM methods for reconstructing the velocity and pressure fields.MethodsTwo ROM methods based on the Proper Orthogonal Decomposition (POD) with both Galerkin projection, namely FV-ROM (ROM based on Finite Volume approximation) and SUP-ROM (ROM with supremizer stabilization), were established for fluid dynamics of MSR. Then, both methods were tested on the unsteady cases of liquid-fueled molten salt reactor (LFMSR) for comparison and applicability analysis.ResultsThe FV-ROM demonstrates notable advantages in both velocity prediction and computational efficiency. For laminar and turbulent transient simulations, the average velocity L2 relative errors are less than 0.5% and 0.6%, respectively, with acceleration ratios of approximately 1 500 and 1 000 times for single time steps. Conversely, the SUP-ROM scheme demonstrates significant prowess in pressure prediction, achieving remarkably low pressure average L2 relative errors of 0.20% and 0.38% for laminar and turbulent transient scenario, respectively.ConclusionsResults of this study indicate that combination of SUP-ROM and FV-ROM for fluid dynamics computations of MSR can significantly enhance computational efficiency and ensure reliability and accuracy of transient simulation.

SHILAP Revista de lepidopterología
Affordable and clean energy
Openalex Percentile: Top 40%
Model Reduction and Neural Networks
0.28
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