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Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing – Part I: methodology demonstration
- Source :
- Annals of Nuclear Energy 155(2021), 108183, Publication date: 2020-11-26 Closed accessDOI: 10.14278/rodare.583Versions: 10.14278/rodare.584
- Publication Year :
- 2021
-
Abstract
- 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.
- Subjects :
- serpent
XS condensation
Nuclear Energy and Engineering
energy structure optimization
020209 energy
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
xs condensation
Serpent
02 engineering and technology
simulated annealing
01 natural sciences
010305 fluids & plasmas
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Annals of Nuclear Energy 155(2021), 108183, Publication date: 2020-11-26 Closed accessDOI: 10.14278/rodare.583Versions: 10.14278/rodare.584
- Accession number :
- edsair.doi.dedup.....2655cc0da809dc673b52336beda869e0