Time-dependent neutronics model of nodal neutronics program Ants

Antti Rintala; Unna Lauranto

doi:10.1016/j.anucene.2023.109868

Time-dependent neutronics model of nodal neutronics program Ants

Antti Rintala (Corresponding Author), Unna Lauranto

BA4501 Reactor analysis

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

1 Citation (Scopus)

Abstract

Ants is a nodal neutronics program developed at VTT since 2017. Ants solution method for the nodal diffusion equation is based on the function expansion nodal method (FENM) and analytic function expansion nodal (AFEN) method. Ants supports rectangular, hexagonal and triangular nodal geometries. The solution methodology of Ants extended to solve time-dependent problems is presented in this work. The performance of Ants is presented for all three geometry options in a series of established two- and three-dimensional numerical time-dependent benchmarks for both rectangular and hexagonal lattices. The Ants results agree with other published nodal program results, especially if the problem is not sensitive to control rod cusping effects or a fine enough axial mesh is used.

Original language	English
Article number	109868
Number of pages	14
Journal	Annals of Nuclear Energy
Volume	190
DOIs	https://doi.org/10.1016/j.anucene.2023.109868
Publication status	Published - 15 Sept 2023
MoE publication type	A1 Journal article-refereed

Keywords

AFEN
Ants
FENM
Nodal neutronics
Time-dependent

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j.anucene.2023.109868Final published version, 2.04 MBLicence: CC BY

Cite this

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title = "Time-dependent neutronics model of nodal neutronics program Ants",

abstract = "Ants is a nodal neutronics program developed at VTT since 2017. Ants solution method for the nodal diffusion equation is based on the function expansion nodal method (FENM) and analytic function expansion nodal (AFEN) method. Ants supports rectangular, hexagonal and triangular nodal geometries. The solution methodology of Ants extended to solve time-dependent problems is presented in this work. The performance of Ants is presented for all three geometry options in a series of established two- and three-dimensional numerical time-dependent benchmarks for both rectangular and hexagonal lattices. The Ants results agree with other published nodal program results, especially if the problem is not sensitive to control rod cusping effects or a fine enough axial mesh is used.",

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AU - Lauranto, Unna

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N2 - Ants is a nodal neutronics program developed at VTT since 2017. Ants solution method for the nodal diffusion equation is based on the function expansion nodal method (FENM) and analytic function expansion nodal (AFEN) method. Ants supports rectangular, hexagonal and triangular nodal geometries. The solution methodology of Ants extended to solve time-dependent problems is presented in this work. The performance of Ants is presented for all three geometry options in a series of established two- and three-dimensional numerical time-dependent benchmarks for both rectangular and hexagonal lattices. The Ants results agree with other published nodal program results, especially if the problem is not sensitive to control rod cusping effects or a fine enough axial mesh is used.

AB - Ants is a nodal neutronics program developed at VTT since 2017. Ants solution method for the nodal diffusion equation is based on the function expansion nodal method (FENM) and analytic function expansion nodal (AFEN) method. Ants supports rectangular, hexagonal and triangular nodal geometries. The solution methodology of Ants extended to solve time-dependent problems is presented in this work. The performance of Ants is presented for all three geometry options in a series of established two- and three-dimensional numerical time-dependent benchmarks for both rectangular and hexagonal lattices. The Ants results agree with other published nodal program results, especially if the problem is not sensitive to control rod cusping effects or a fine enough axial mesh is used.

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Time-dependent neutronics model of nodal neutronics program Ants

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Keywords

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