Overview of methodology for spatial homogenization in the Serpent 2 Monte Carlo code

Jaakko Leppänen (Corresponding Author), Maria Pusa, Emil Fridman

Research output: Contribution to journalArticleScientificpeer-review

29 Citations (Scopus)

Abstract

This paper describes the methods used in the Serpent 2 Monte Carlo code for producing homogenized group constants for nodal diffusion and other deterministic reactor simulator calculations. The methodology covers few-group reaction cross sections, scattering matrices, diffusion coefficients and poison cross sections condensed in infinite and B1leakage-corrected critical spectra, as well as the calculation of discontinuity factors, pin-power form factors, delayed neutron parameters and total and partial albedos. Also included is a description of an automated burnup sequence, which was recently implemented for the handling of restart calculations with branch variations. This capability enables covering the full range of local operating conditions required for the parameterization of group constants within a single run. The purpose of this paper is to bring the methodological description provided in earlier publications up to date, and provide insight into the developed methods and capabilities, including their limitations and known flaws.
Original languageEnglish
Pages (from-to)126-136
JournalAnnals of Nuclear Energy
Volume96
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

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Parameterization
Neutrons
Simulators
Scattering
Defects

Keywords

  • automated burnup sequence
  • group constants
  • Monte Carlo
  • serpent
  • spatial homogenization

Cite this

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abstract = "This paper describes the methods used in the Serpent 2 Monte Carlo code for producing homogenized group constants for nodal diffusion and other deterministic reactor simulator calculations. The methodology covers few-group reaction cross sections, scattering matrices, diffusion coefficients and poison cross sections condensed in infinite and B1leakage-corrected critical spectra, as well as the calculation of discontinuity factors, pin-power form factors, delayed neutron parameters and total and partial albedos. Also included is a description of an automated burnup sequence, which was recently implemented for the handling of restart calculations with branch variations. This capability enables covering the full range of local operating conditions required for the parameterization of group constants within a single run. The purpose of this paper is to bring the methodological description provided in earlier publications up to date, and provide insight into the developed methods and capabilities, including their limitations and known flaws.",
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Overview of methodology for spatial homogenization in the Serpent 2 Monte Carlo code. / Leppänen, Jaakko (Corresponding Author); Pusa, Maria; Fridman, Emil.

In: Annals of Nuclear Energy, Vol. 96, 2016, p. 126-136.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Pusa, Maria

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AB - This paper describes the methods used in the Serpent 2 Monte Carlo code for producing homogenized group constants for nodal diffusion and other deterministic reactor simulator calculations. The methodology covers few-group reaction cross sections, scattering matrices, diffusion coefficients and poison cross sections condensed in infinite and B1leakage-corrected critical spectra, as well as the calculation of discontinuity factors, pin-power form factors, delayed neutron parameters and total and partial albedos. Also included is a description of an automated burnup sequence, which was recently implemented for the handling of restart calculations with branch variations. This capability enables covering the full range of local operating conditions required for the parameterization of group constants within a single run. The purpose of this paper is to bring the methodological description provided in earlier publications up to date, and provide insight into the developed methods and capabilities, including their limitations and known flaws.

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