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Optimisation of Monte Carlo burnup simulations
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Engineering.ORCID iD: 0000-0002-7943-7517
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Engineering.ORCID iD: 0000-0003-4878-6711
2020 (English)In: International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020, EDP Sciences , 2020, p. 804-810Conference paper, Published paper (Refereed)
Abstract [en]

We show here that computing efficiency of Monte Carlo burnup simulations depends on chosen values of certain free parameters, such as the length of the time steps and the number of neutron histories simulated at each Monte Carlo criticality run. The efficiency can thus be improved by optimising these parameters. We have set up a simple numerical model that made it possible for us to test a large number of combinations of the free parameters, and suggest a way to optimise their selection.

Place, publisher, year, edition, pages
EDP Sciences , 2020. p. 804-810
Keywords [en]
Monte Carlo burnup, Optimisation, Statistics, Time step length, Efficiency, Burn up, Computing efficiency, Free parameters, Optimisations, Time step, Monte Carlo methods
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:kth:diva-301005DOI: 10.1051/epjconf/202124704016Scopus ID: 2-s2.0-85108431648OAI: oai:DiVA.org:kth-301005DiVA, id: diva2:1591179
Conference
2020 International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020, 28 March 2020 through 2 April 2020, Cambridge,
Note

QC 20210906

Available from: 2021-09-06 Created: 2021-09-06 Last updated: 2022-06-25Bibliographically approved

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Dufek, JanMickus, Ignas

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf