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  4. Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing - Part I: Methodology demonstration
 
research article

Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing - Part I: Methodology demonstration

Di Nora, V. A.  
•
Fridman, E.
•
Nikitin, E.
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June 1, 2021
Annals Of Nuclear Energy

This study presents an approach to the selection of optimal energy group structures for multi-group nodal diffusion analyses of Sodium-cooled Fast Reactor cores. The goal is to speed up calculations, particularly in transient calculations, while maintaining an acceptable accuracy of the results. In Part I of the paper, possible time-savings due to collapsing of energy groups are evaluated using 24-group energy structure as a reference. Afterwards, focusing on energy structures with a number of groups leading to significant calculation speedups, optimal grid configurations are identified. Depending on a number of possible energy grid configurations to explore, the optimization is conducted by either a direct search or applying the simulated annealing method. Speedup and optimization studies are performed on a selected case of the Superphenix static neutronic benchmark by using the nodal diffusion DYN3D code. The results demonstrate noticeable improvements in DYN3D performance with a marginal deterioration of the accuracy. (C) 2021 Elsevier Ltd. All rights reserved.

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Type
research article
DOI
10.1016/j.anucene.2021.108183
Web of Science ID

WOS:000635538200030

Author(s)
Di Nora, V. A.  
Fridman, E.
Nikitin, E.
Bilodid, Y.
Mikityuk, K.  
Date Issued

2021-06-01

Published in
Annals Of Nuclear Energy
Volume

155

Article Number

108183

Subjects

Nuclear Science & Technology

•

serpent

•

xs condensation

•

energy structure optimization

•

simulated annealing

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LRS  
Available on Infoscience
April 24, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/177588
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