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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

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


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  <identifier identifierType="DOI">10.14278/rodare.584</identifier>
  <creators>
    <creator>
      <creatorName>Di Nora, V. A.</creatorName>
      <givenName>V. A.</givenName>
      <familyName>Di Nora</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7949-6093</nameIdentifier>
      <affiliation>HZDR, EFPL</affiliation>
    </creator>
    <creator>
      <creatorName>Fridman, E.</creatorName>
      <givenName>E.</givenName>
      <familyName>Fridman</familyName>
      <affiliation>HZDR</affiliation>
    </creator>
    <creator>
      <creatorName>Nikitin, E.</creatorName>
      <givenName>E.</givenName>
      <familyName>Nikitin</familyName>
      <affiliation>HZDR</affiliation>
    </creator>
    <creator>
      <creatorName>Bilodid, Y.</creatorName>
      <givenName>Y.</givenName>
      <familyName>Bilodid</familyName>
      <affiliation>HZDR</affiliation>
    </creator>
    <creator>
      <creatorName>Mikityuk, K.</creatorName>
      <givenName>K.</givenName>
      <familyName>Mikityuk</familyName>
      <affiliation>PSI, EFPL</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing – Part I: methodology demonstration</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Serpent</subject>
    <subject>XS condensation</subject>
    <subject>energy structure optimization</subject>
    <subject>simulated annealing</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-11-26</date>
  </dates>
  <resourceType resourceTypeGeneral="Other"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/584</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsReferencedBy">10.1016/j.anucene.2021.108183</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-31706</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-31688</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-32640</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.583</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/hzdr</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/closedAccess">Closed Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&lt;br&gt;
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 Superph&amp;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.&lt;/p&gt;</description>
  </descriptions>
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