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  4. A coarse-mesh methodology for modelling of single-phase thermal-hydraulics of ESFR innovative assembly design
 
research article

A coarse-mesh methodology for modelling of single-phase thermal-hydraulics of ESFR innovative assembly design

Radman, Stefan  
•
Fiorina, Carlo  
•
Mikityuk, Konstantin
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December 15, 2019
Nuclear Engineering And Design

The GeN-Foam multi-physics code enables coupled thermal-hydraulic, neutronic, and thermal-mechanical analysis of fast reactor cores with 3-D unstructured deformable meshes. Advances within the Horizon2020 ESFR-SMART project, as well as trends towards higher-fidelity core-wise simulations motivated further developments of the code thermal-hydraulics, based on a coarse-mesh porous medium approach. These developments enable the single-phase characterization of the thermal-hydraulic impact of the inter-assembly gap and assembly wrapper windows in steady state and transient scenarios. The inter-assembly gap constitutes a non-negligible heat sink in accident scenarios in most SFR designs. Conversely, wrapper windows are an ESFR innovative feature meant to alleviate the adverse effects of sodium boiling. However, these will alter the single-phase thermal-hydraulics as well. This work presents development and verification efforts aimed to enable the coarse-mesh thermal-hydraulic analysis of these features. An analysis of the impact of these features is performed on a representative bundle of 7 ESFR assemblies.

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Type
research article
DOI
10.1016/j.nucengdes.2019.110291
Web of Science ID

WOS:000493898800001

Author(s)
Radman, Stefan  
Fiorina, Carlo  
Mikityuk, Konstantin
Pautz, Andreas  
Date Issued

2019-12-15

Publisher

ELSEVIER SCIENCE SA

Published in
Nuclear Engineering And Design
Volume

355

Article Number

110291

Subjects

Nuclear Science & Technology

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Nuclear Science & Technology

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sodium fast reactor

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sfr

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coarse-mesh

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porous medium

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inter-assembly gap

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assembly wrapper

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wrapper windows

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openfoam

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gen-foam

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macroscopic turbulence model

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gen-foam

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fast-reactor

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flow

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validation

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solver

•

temperature

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prediction

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program

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LRS  
Available on Infoscience
November 16, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/163164
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