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

    Fingerprint

    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",
    issn = "0022-3131",
    publisher = "Atomic Energy Society of Japan",
    number = "7-8",

    }

    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

    M3 - Article

    VL - 52

    SP - 945

    EP - 952

    JO - Journal of Nuclear Science and Technology

    JF - Journal of Nuclear Science and Technology

    SN - 0022-3131

    IS - 7-8

    ER -