Acceleration of fission source convergence in the Serpent 2 Monte Carlo code using a response matrix based solution for the initial source distribution

Jaakko Leppänen (Corresponding Author)

    Research output: Contribution to journalArticleScientificpeer-review

    3 Citations (Scopus)

    Abstract

    This paper presents a new response matrix based solver implemented in the Serpent 2 Monte Carlo code for the purpose of producing an improved initial guess to accelerate source convergence in criticality source simulations. The solver obtains coupling coefficients required for the response matrix solution from Monte Carlo simulations, and provides a spatial distribution that approximates the converged fission source. The implemented methodology is demonstrated by single-assembly and full-core PWR calculations. The results show that the improved initial guess leads to faster source convergence in terms of both inactive cycles and overall running time.

    Original languageEnglish
    Pages (from-to)63-68
    Number of pages6
    JournalAnnals of Nuclear Energy
    Volume128
    Early online date9 Jan 2019
    DOIs
    Publication statusPublished - Jun 2019
    MoE publication typeNot Eligible

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    Spatial distribution
    Monte Carlo simulation

    Keywords

    • Criticality source simulation
    • Monte Carlo
    • Response matrix method
    • Serpent 2
    • Source convergence acceleration

    Cite this

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    title = "Acceleration of fission source convergence in the Serpent 2 Monte Carlo code using a response matrix based solution for the initial source distribution",
    abstract = "This paper presents a new response matrix based solver implemented in the Serpent 2 Monte Carlo code for the purpose of producing an improved initial guess to accelerate source convergence in criticality source simulations. The solver obtains coupling coefficients required for the response matrix solution from Monte Carlo simulations, and provides a spatial distribution that approximates the converged fission source. The implemented methodology is demonstrated by single-assembly and full-core PWR calculations. The results show that the improved initial guess leads to faster source convergence in terms of both inactive cycles and overall running time.",
    keywords = "Criticality source simulation, Monte Carlo, Response matrix method, Serpent 2, Source convergence acceleration",
    author = "Jaakko Lepp{\"a}nen",
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    language = "English",
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    N2 - This paper presents a new response matrix based solver implemented in the Serpent 2 Monte Carlo code for the purpose of producing an improved initial guess to accelerate source convergence in criticality source simulations. The solver obtains coupling coefficients required for the response matrix solution from Monte Carlo simulations, and provides a spatial distribution that approximates the converged fission source. The implemented methodology is demonstrated by single-assembly and full-core PWR calculations. The results show that the improved initial guess leads to faster source convergence in terms of both inactive cycles and overall running time.

    AB - This paper presents a new response matrix based solver implemented in the Serpent 2 Monte Carlo code for the purpose of producing an improved initial guess to accelerate source convergence in criticality source simulations. The solver obtains coupling coefficients required for the response matrix solution from Monte Carlo simulations, and provides a spatial distribution that approximates the converged fission source. The implemented methodology is demonstrated by single-assembly and full-core PWR calculations. The results show that the improved initial guess leads to faster source convergence in terms of both inactive cycles and overall running time.

    KW - Criticality source simulation

    KW - Monte Carlo

    KW - Response matrix method

    KW - Serpent 2

    KW - Source convergence acceleration

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