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Core analysis, design and optimization of a deep-burn pebble bed reactor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Achieving a high fuel burnup in the Deep-Burn pebble bed reactor design, while remaining within prescribes safety limits for fuel temperature, power peaking and temperature reactivity feedback, is challenging. The high content of Pu and Minor Actinides in the Deep-Burn fuel significantly impacts the thermal neutron energy spectrum as compared to a 'standard' UO2 fueled core. Regions in the pebble bed core near the graphite reflectors experience power and temperature peaking that result from the local softer neutron energy spectrum. Furthermore, the interplay of the Pu resonances of the neutron absorption cross sections at low-lying energies can lead to a positive temperature reactivity coefficient for the graphite moderator under certain operating conditions. To investigate the aforementioned effects a new code system based on existing codes has been developed for neutronic, thermal-hydraulic and fuel depletion analysis of Deep-Burn pebble bed reactors. A core analysis of a Deep-Burn Pebble Bed Modular Reactor (400 MWth) design has been performed for two Deep-Burn fuel types and possible improvements of the design with regard to power peaking and temperature reactivity feedback are identified.

Original languageEnglish
Title of host publicationInternational Conference on the Physics of Reactors 2010, PHYSOR 2010
PublisherAmerican Nuclear Society
Pages1647-1660
Number of pages14
ISBN (Print)9781617820014
StatePublished - 2010
EventInternational Conference on the Physics of Reactors 2010, PHYSOR 2010 - Pittsburgh, United States
Duration: May 9 2010May 14 2010

Publication series

NameInternational Conference on the Physics of Reactors 2010, PHYSOR 2010
Volume2

Conference

ConferenceInternational Conference on the Physics of Reactors 2010, PHYSOR 2010
Country/TerritoryUnited States
CityPittsburgh
Period05/9/1005/14/10

Keywords

  • Core analysis
  • Deep-Burn
  • Optimization
  • Pebble bed

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