November 26, 2020 Other Closed Access

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

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{
  "id": "584", 
  "title": "Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing \u2013 Part I: methodology demonstration", 
  "author": [
    {
      "family": "Di Nora, V. A."
    }, 
    {
      "family": "Fridman, E."
    }, 
    {
      "family": "Nikitin, E."
    }, 
    {
      "family": "Bilodid, Y."
    }, 
    {
      "family": "Mikityuk, K."
    }
  ], 
  "type": "article", 
  "publisher": "Rodare", 
  "DOI": "10.14278/rodare.584", 
  "issued": {
    "date-parts": [
      [
        2020, 
        11, 
        26
      ]
    ]
  }, 
  "abstract": "<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>"
}