November 26, 2020 Other Closed Access

Di Nora, V. A.; Fridman, E.; Nikitin, E.; Bilodid, Y.; Mikityuk, K.

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{
  "url": "https://rodare.hzdr.de/record/584", 
  "datePublished": "2020-11-26", 
  "@context": "https://schema.org/", 
  "name": "Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing \u2013 Part I: methodology demonstration", 
  "creator": [
    {
      "affiliation": "HZDR, EFPL", 
      "@type": "Person", 
      "@id": "https://orcid.org/0000-0001-7949-6093", 
      "name": "Di Nora, V. A."
    }, 
    {
      "affiliation": "HZDR", 
      "@type": "Person", 
      "name": "Fridman, E."
    }, 
    {
      "affiliation": "HZDR", 
      "@type": "Person", 
      "name": "Nikitin, E."
    }, 
    {
      "affiliation": "HZDR", 
      "@type": "Person", 
      "name": "Bilodid, Y."
    }, 
    {
      "affiliation": "PSI, EFPL", 
      "@type": "Person", 
      "name": "Mikityuk, K."
    }
  ], 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-31706"
  ], 
  "identifier": "https://doi.org/10.14278/rodare.584", 
  "@type": "CreativeWork", 
  "@id": "https://doi.org/10.14278/rodare.584", 
  "keywords": [
    "Serpent", 
    "XS condensation", 
    "energy structure optimization", 
    "simulated annealing"
  ], 
  "description": "<p>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.<br>\nIn 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 Superph&eacute;nix 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.</p>"
}