Study on computational performance in generation of cross sections for nodal simulators using continuous-energy Monte Carlo calculations

Jaakko Leppänen (Corresponding Author), Riku Mattila

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

This paper aims to evaluate the practical feasibility of using the continuous-energy Monte Carlo method for producing homogenized group constants for deterministic core simulators. The calculations are carried out using the Serpent 2 Monte Carlo code and ARES nodal diffusion fuel cycle simulator. A test case from a previous validation study is repeated with varying number of neutron histories in group constant generation. The impact of statistical variation in the results of ARES simulations is evaluated, and the corresponding calculation times used to provide an order-of-magnitude estimate for the overall computational cost for generating the full set of group constants covering all state points. It is concluded that, while computationally expensive, Monte Carlo-based spatial homogenization involving burnup and thousands of state points per assembly type is within the range of feasibility using modern computer clusters.
Original languageEnglish
Pages (from-to)945-952
Number of pages8
JournalJournal of Nuclear Science and Technology
Volume52
Issue number7-8
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed
EventInternational Conference on the Physics of Reactors, PHYSOR 2014: The Role of Reactor Physics toward Sustainable Future - Kyoto, Japan
Duration: 28 Sep 20143 Oct 2014

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Advanced Reconn Electric Spacecraft
simulators
Simulators
cross sections
Neutrons
Monte Carlo methods
homogenizing
Monte Carlo method
energy
coverings
assembly
histories
costs
Costs
neutrons
cycles
estimates
simulation

Keywords

  • serpent
  • ARES core simulator
  • Monte Carlo
  • group constants
  • statistics
  • computational cost

Cite this

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title = "Study on computational performance in generation of cross sections for nodal simulators using continuous-energy Monte Carlo calculations",
abstract = "This paper aims to evaluate the practical feasibility of using the continuous-energy Monte Carlo method for producing homogenized group constants for deterministic core simulators. The calculations are carried out using the Serpent 2 Monte Carlo code and ARES nodal diffusion fuel cycle simulator. A test case from a previous validation study is repeated with varying number of neutron histories in group constant generation. The impact of statistical variation in the results of ARES simulations is evaluated, and the corresponding calculation times used to provide an order-of-magnitude estimate for the overall computational cost for generating the full set of group constants covering all state points. It is concluded that, while computationally expensive, Monte Carlo-based spatial homogenization involving burnup and thousands of state points per assembly type is within the range of feasibility using modern computer clusters.",
keywords = "serpent, ARES core simulator, Monte Carlo, group constants, statistics, computational cost",
author = "Jaakko Lepp{\"a}nen and Riku Mattila",
note = "Title in conference: {"}On the practical feasibility of continuous-energy Monte Carlo in spatial homogenization{"}. Not published in proceedings",
year = "2015",
doi = "10.1080/00223131.2015.1027516",
language = "English",
volume = "52",
pages = "945--952",
journal = "Journal of Nuclear Science and Technology",
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publisher = "Atomic Energy Society of Japan",
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TY - JOUR

T1 - Study on computational performance in generation of cross sections for nodal simulators using continuous-energy Monte Carlo calculations

AU - Leppänen, Jaakko

AU - Mattila, Riku

N1 - Title in conference: "On the practical feasibility of continuous-energy Monte Carlo in spatial homogenization". Not published in proceedings

PY - 2015

Y1 - 2015

N2 - This paper aims to evaluate the practical feasibility of using the continuous-energy Monte Carlo method for producing homogenized group constants for deterministic core simulators. The calculations are carried out using the Serpent 2 Monte Carlo code and ARES nodal diffusion fuel cycle simulator. A test case from a previous validation study is repeated with varying number of neutron histories in group constant generation. The impact of statistical variation in the results of ARES simulations is evaluated, and the corresponding calculation times used to provide an order-of-magnitude estimate for the overall computational cost for generating the full set of group constants covering all state points. It is concluded that, while computationally expensive, Monte Carlo-based spatial homogenization involving burnup and thousands of state points per assembly type is within the range of feasibility using modern computer clusters.

AB - This paper aims to evaluate the practical feasibility of using the continuous-energy Monte Carlo method for producing homogenized group constants for deterministic core simulators. The calculations are carried out using the Serpent 2 Monte Carlo code and ARES nodal diffusion fuel cycle simulator. A test case from a previous validation study is repeated with varying number of neutron histories in group constant generation. The impact of statistical variation in the results of ARES simulations is evaluated, and the corresponding calculation times used to provide an order-of-magnitude estimate for the overall computational cost for generating the full set of group constants covering all state points. It is concluded that, while computationally expensive, Monte Carlo-based spatial homogenization involving burnup and thousands of state points per assembly type is within the range of feasibility using modern computer clusters.

KW - serpent

KW - ARES core simulator

KW - Monte Carlo

KW - group constants

KW - statistics

KW - computational cost

U2 - 10.1080/00223131.2015.1027516

DO - 10.1080/00223131.2015.1027516

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EP - 952

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JF - Journal of Nuclear Science and Technology

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