Presentation Type

Poster

Start Date

18-12-2018 1:00 PM

Keywords

Energy Expansion, Discrete Generalized Multigroup, Proper Orthogonal Decomposition

Abstract

This work seeks to improve the practicality of the discrete generalized multigroup (DGM) method. The DGM method divides a fine-group energy domain into a set of coarse groups. Fine-group fluxes within each coarse group are expanded in an orthogonal basis, and cross section moments are defined to preserve the reaction rates of the fine-group solution. Previous implementations of DGM suffered from large memory requirements, so this work work explores options to reduce the memory footprint by (a) homogenizing cross-section moments over coarse regions and (b) representing discrete-angle dependence through truncated Legendre expansions. Tests were performed using a 1-D, discrete ordinates implementation to analyze a 10-pin assembly consisting of UO$_2$ and MOX. For full, fine-group calculations, conventional spatial homogenization leads to pin-power errors of up to about 1\% for this particular problem. Truncation of the angular dependence using zeroth-order flux moments leads to errors of approximately 2\% in pin powers. An increase to first-order expansions reduces the errors by about one order of magnitude. With spatial homogenization and a linear angular approximation, DGM with a truncated basis yields an eigenvalue error below 1\% and pin-power errors of up to approximately 1.5\%, about three times larger than the corresponding case without a truncated expansion. Use of these techniques represents a step toward a practical implementation of DGM, which provides a framework for generation and use of broad-group cross sections that can incorporate higher-order information for on-the-fly spectral corrections.

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Dec 18th, 1:00 PM

Enhancements to the Discrete Generalized Multigroup Method

This work seeks to improve the practicality of the discrete generalized multigroup (DGM) method. The DGM method divides a fine-group energy domain into a set of coarse groups. Fine-group fluxes within each coarse group are expanded in an orthogonal basis, and cross section moments are defined to preserve the reaction rates of the fine-group solution. Previous implementations of DGM suffered from large memory requirements, so this work work explores options to reduce the memory footprint by (a) homogenizing cross-section moments over coarse regions and (b) representing discrete-angle dependence through truncated Legendre expansions. Tests were performed using a 1-D, discrete ordinates implementation to analyze a 10-pin assembly consisting of UO$_2$ and MOX. For full, fine-group calculations, conventional spatial homogenization leads to pin-power errors of up to about 1\% for this particular problem. Truncation of the angular dependence using zeroth-order flux moments leads to errors of approximately 2\% in pin powers. An increase to first-order expansions reduces the errors by about one order of magnitude. With spatial homogenization and a linear angular approximation, DGM with a truncated basis yields an eigenvalue error below 1\% and pin-power errors of up to approximately 1.5\%, about three times larger than the corresponding case without a truncated expansion. Use of these techniques represents a step toward a practical implementation of DGM, which provides a framework for generation and use of broad-group cross sections that can incorporate higher-order information for on-the-fly spectral corrections.