A novel computational platform for the propagation of nuclear data uncertainties through the fuel cycle code anicca

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

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  • UCM - Universidad Católica del Maule

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Abstract

This paper presents the first results of a computational platform dedicated to the propagation of nuclear data covariances, all the way to fuel cycle scenario observables. Such platform, based on in-house codes developed at SCK•CEN in Belgium, both for the creation of the many-randomized nuclear data libraries based on ENDF format and for fuel cycle scenario-studies (known as SANDY and ANICCA, respectively), was employed for the uncertainty assessment of the time-dependent inventory computed from a mono-recycling of Plutonium scenario based on a PWR fleet. An essential part of the procedure that deals with the creation of input data libraries to ANICCA, has been carried out this time by the SERPENT2 code. Due to the fact that its neutron transport and depletion parallelized calculation in 72 cores for up to 1640 days and 60 MWd/kg-HM takes almost one hour, it is feasible to finish a total of 100 ANICCA runs based on randomized input libraries created from ENDF/B-VII.1 neutron-reaction covariances in about one week. Therefore, it is consider that the computation of the output population statistics can be inferred from 100 observables representing time-dependent mass inventories. To mention a few results from the aforementioned NEA/OECD benchmark scenario, it was found out that the relative standard deviation of the accumulated plutonium in the final disposal after 120 years was of 7%, while for curium it corresponded to 8%. Thus, sources of uncertainty arising from neutron-reaction covariances do have an impact in the final quantitative analysis of the fuel cycle output uncertainties.

Details

Original languageEnglish
Title of host publicationPHYSOR 2020: Transition to a Scalable Nuclear Future
PublisherUnknown
Pages1-8
Number of pages8
Publication statusPublished - 29 Mar 2020
Event2020 - PHYSOR: PHYSOR 2020 TRANSITION TO A SCALABLE NUCLEAR FUTURE - University of Cambridge, Cambridge, United Kingdom
Duration: 29 Mar 20203 Apr 2020
https://www.physor2020.com/

Conference

Conference2020 - PHYSOR
CountryUnited Kingdom
CityCambridge
Period2020-03-292020-04-03
OtherEvery two years, the PHYSOR conference presents the largest showcase of reactor physics research in the world. This provides your organization with an excellent opportunity to offer products, research and services to the nuclear community and to visitors from all over the world.
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Keywords

  • PHYSOR

ID: 6052894