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Neutron clustering as a driver of Monte Carlo burn-up instability

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Parks, GT 

Abstract

Coupled Monte Carlo neutronics and depletion problems have been noted to produce nonphysical power oscillations for large, spatially-decoupled problems. Previously these oscillations have been attributed to `numerical instability' - this work proposes that a prominent contributor to this phenomenon is neutron clustering during the Monte Carlo simulation, resulting in a poor estimate of the transport solution. This is demonstrated using insights from recent work on clustering and applying it to standard practice for Monte Carlo/depletion problems by performing simulations with the same number of histories - both total histories and only active histories - but different numbers of particles and cycles. The results demonstrate that neutron clustering appears to trigger instabilities in the problems considered and strongly affects Monte Carlo neutronics/depletion simulations.

Description

Keywords

Depletion, Neutron transport, Monte Carlo, Clustering, Stability

Journal Title

Annals of Nuclear Energy

Conference Name

Journal ISSN

0306-4549
1873-2100

Volume Title

137

Publisher

Elsevier BV
Sponsorship
Engineering and Physical Sciences Research Council (EP/P020259/1)
Engineering and Physical Sciences Research Council (EP/L015900/1)
EPSRC (1818942)