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

doi:10.1016/j.anucene.2018.12.044

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)

BA2F08 Nuclear energy solutions

Research output: Contribution to journal › Article › Scientific › peer-review

4 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 language	English
Pages (from-to)	63-68
Journal	Annals of Nuclear Energy
Volume	128
Early online date	9 Jan 2019
DOIs	https://doi.org/10.1016/j.anucene.2018.12.044
Publication status	Published - Jun 2019
MoE publication type	A1 Journal article-refereed

Keywords

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

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10.1016/j.anucene.2018.12.044

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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",

note = "Funding Information: This work was carried out within the McSAFE project which is receiving funding from the Euratom research and training programme under grant agreement No 755097 . Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",

year = "2019",

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doi = "10.1016/j.anucene.2018.12.044",

language = "English",

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AU - Leppänen, Jaakko

N1 - Funding Information: This work was carried out within the McSAFE project which is receiving funding from the Euratom research and training programme under grant agreement No 755097 . Publisher Copyright: © 2019 Elsevier Ltd Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019/6

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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.

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KW - Monte Carlo

KW - Response matrix method

KW - Serpent 2

KW - Source convergence acceleration

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