Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo

The hybrid resolution (HR) method is a recently developed calculational algorithm tailored for efficient nuclear reactor analysis by leveraging multigroup (MG) Monte Carlo (MC) coupled with continuous energy MC calculations. While the HR method has demonstrated promising results in various scenarios...

Full description

Saved in:
Bibliographic Details
Main Authors: Kim Inhyung, Lujan Vidor H., Painter Bailey, Kotlyar Dan, Fratoni Massimiliano
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_13008.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850207010728968192
author Kim Inhyung
Lujan Vidor H.
Painter Bailey
Kotlyar Dan
Fratoni Massimiliano
author_facet Kim Inhyung
Lujan Vidor H.
Painter Bailey
Kotlyar Dan
Fratoni Massimiliano
author_sort Kim Inhyung
collection DOAJ
description The hybrid resolution (HR) method is a recently developed calculational algorithm tailored for efficient nuclear reactor analysis by leveraging multigroup (MG) Monte Carlo (MC) coupled with continuous energy MC calculations. While the HR method has demonstrated promising results in various scenarios, an anticipated challenge arises from inconsistencies of MG MC results caused by spatial homogenization when relatively coarse mesh is adopted, particularly in heterogeneous problems characterized by a strong flux gradient. To address this issue, the HR method incorporates MG MC calculations on the same explicit geometry used in continuous energy MC calculations. In other words, this approach preserves accuracy in geometry handling while solely simplifying energy treatment. In our investigation, a 3-dimensional BWR-type fuel assembly was focused on for a comparative study regarding the different geometry treatments in MG MC calculations. Various reactor parameters such as k-effective, power, flux, and atomic densities were estimated, and numerical performance was also compared in terms of the computing time and figure-of-merits. Our evaluation revealed that the explicit geometry-based HR method yielded more consistent and reliable parameters compared to the simplified coarse mesh-based scheme, reducing errors in power and flux distributions by about 10%.
format Article
id doaj-art-3ce1de585bc2403883cd0eb5ade5fbbc
institution OA Journals
issn 2100-014X
language English
publishDate 2024-01-01
publisher EDP Sciences
record_format Article
series EPJ Web of Conferences
spelling doaj-art-3ce1de585bc2403883cd0eb5ade5fbbc2025-08-20T02:10:39ZengEDP SciencesEPJ Web of Conferences2100-014X2024-01-013021300810.1051/epjconf/202430213008epjconf_snamc2024_13008Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte CarloKim Inhyung0Lujan Vidor H.1Painter Bailey2Kotlyar Dan3Fratoni Massimiliano4University of California Berkeley, Department of Nuclear EngineeringGeorgia Institute of Technology, Nuclear and Radiological EngineeringGeorgia Institute of Technology, Nuclear and Radiological EngineeringGeorgia Institute of Technology, Nuclear and Radiological EngineeringUniversity of California Berkeley, Department of Nuclear EngineeringThe hybrid resolution (HR) method is a recently developed calculational algorithm tailored for efficient nuclear reactor analysis by leveraging multigroup (MG) Monte Carlo (MC) coupled with continuous energy MC calculations. While the HR method has demonstrated promising results in various scenarios, an anticipated challenge arises from inconsistencies of MG MC results caused by spatial homogenization when relatively coarse mesh is adopted, particularly in heterogeneous problems characterized by a strong flux gradient. To address this issue, the HR method incorporates MG MC calculations on the same explicit geometry used in continuous energy MC calculations. In other words, this approach preserves accuracy in geometry handling while solely simplifying energy treatment. In our investigation, a 3-dimensional BWR-type fuel assembly was focused on for a comparative study regarding the different geometry treatments in MG MC calculations. Various reactor parameters such as k-effective, power, flux, and atomic densities were estimated, and numerical performance was also compared in terms of the computing time and figure-of-merits. Our evaluation revealed that the explicit geometry-based HR method yielded more consistent and reliable parameters compared to the simplified coarse mesh-based scheme, reducing errors in power and flux distributions by about 10%.https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_13008.pdf
spellingShingle Kim Inhyung
Lujan Vidor H.
Painter Bailey
Kotlyar Dan
Fratoni Massimiliano
Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo
EPJ Web of Conferences
title Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo
title_full Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo
title_fullStr Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo
title_full_unstemmed Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo
title_short Hybrid Resolution Method for Efficient Depletion Analyses using Explicit Geometry Multigroup Monte Carlo
title_sort hybrid resolution method for efficient depletion analyses using explicit geometry multigroup monte carlo
url https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_13008.pdf
work_keys_str_mv AT kiminhyung hybridresolutionmethodforefficientdepletionanalysesusingexplicitgeometrymultigroupmontecarlo
AT lujanvidorh hybridresolutionmethodforefficientdepletionanalysesusingexplicitgeometrymultigroupmontecarlo
AT painterbailey hybridresolutionmethodforefficientdepletionanalysesusingexplicitgeometrymultigroupmontecarlo
AT kotlyardan hybridresolutionmethodforefficientdepletionanalysesusingexplicitgeometrymultigroupmontecarlo
AT fratonimassimiliano hybridresolutionmethodforefficientdepletionanalysesusingexplicitgeometrymultigroupmontecarlo