Quantification of the differences introduced by nuclear fuel cycle simulators in advanced scenario studies

Research output: Contribution to journalArticle

Authors

Institutes & Expert groups

  • CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
  • UCM - Universidad Católica del Maule

Documents & links

Abstract

Uncertainty propagation and quantification, when applied to the field of nuclear fuel cycle scenario studies, usually only considers a set of easily quantifiable input parameters, leaving out the effects of the modelling approaches. In order to extend the validity of these analyses, two different codes, ANICCA and TR_EVOL (developed respectively by SCKCEN and CIEMAT), have been benchmarked through a study of an advanced and realistic nuclear fuel cycle scenario with the aim of assessing the impact of the use of different tools in the fuel cycle scenario uncertainty quantification. Additionally, a classical uncertainty propagation analysis was done following the total Monte Carlo and sensitivity approaches in order to compare the system uncertainties with the dissimilarities due the simulators. Results shows that the impact of the fuel cycle simulators cannot be neglected for certain observables, and that their effects become relevant as the scenarios extends over time due their cumulative effect.

Details

Original languageEnglish
Article number107160
Pages (from-to)1-9
Number of pages9
JournalAnnals of nuclear energy
Volume137
DOIs
Publication statusPublished - 30 Oct 2019

Keywords

  • fuel cycle simulator, uncertainty quantification, trasmutation, advanced fuel cycle

ID: 5711034