Combining Total Monte Carlo and Benchmarks for Nuclear Data Uncertainty Propagation on a Lead Fast Reactor's Safety Parameters
2014 (English)In: Nuclear Data Sheets, ISSN 0090-3752, E-ISSN 1095-9904, Vol. 118, 542-544 p.Article in journal (Refereed) Published
Analyses are carried out to assess the impact of nuclear data uncertainties on some reactor safety parameters for the European Lead Cooled Training Reactor (ELECTRA) using the Total Monte Carlo method. A large number of Pu-239 random ENDF-format libraries, generated using the TALYS based system were processed into ACE format with NJOY99.336 code and used as input into the Serpent Monte Carlo code to obtain distribution in reactor safety parameters. The distribution in keff obtained was compared with the latest major nuclear data libraries – JEFF-3.1.2, ENDF/B-VII.1 and JENDL-4.0. A method is proposed for the selection of benchmarks for specific applications using the Total Monte Carlo approach based on a correlation observed between the keff of a given system and the benchmark. Finally, an accept/reject criteria was investigated based on chi squared values obtained using the Pu-239 Jezebel criticality benchmark. It was observed that nuclear data uncertainties were reduced considerably from 748 to 443 pcm.
Place, publisher, year, edition, pages
2014. Vol. 118, 542-544 p.
GENIV, reactor safety parameters, ELECTRA, nuclear data uncertainty, TMC
Other Physics Topics
Research subject Applied Nuclear Physics
IdentifiersURN: urn:nbn:se:uu:diva-197305DOI: 10.1016/j.nds.2014.04.129ISI: 000347704400128OAI: oai:DiVA.org:uu-197305DiVA: diva2:612471
International conference on nuclear data for science and technology, 4-8 March, 2013, New York USA
ProjectsTotal Monte Carlo