Abstract

Neutron noise analysis addresses the description of small time-dependent flux fluctuations in reactor cores, induced by small global or local perturbations of the macroscopic cross sections due to density fluctuations of the coolant, to vibrations of fuel elements, control rods, or structural materials. The general noise equations are obtained by assuming small perturbations around a steady-state neutron flux and by subsequently taking the Fourier transform in the frequency domain. Recently, new neutron noise solvers have been implemented in diffusion and transport theory in APOLLO3®, the multi-purpose deterministic transport code developed at CEA, and a new stochastic solver has been implemented for the neutron noise analysis in the frequency domain in the Monte Carlo code TRIPOLI-4®, also developed at CEA. In this paper, we compare the two solvers for the case of fuel pin oscillations in a simplified UOX fuel assembly, in view of proposing the examined configurations as a benchmark for neutron noise calculations.

Highlights

  • Neutron noise analysis addresses the description of small time-dependent flux fluctuations induced by small global or local perturbations of the macroscopic cross sections [1]

  • In view of the importance of the neutron noise analysis for reactor applications, in 2016 new neutron noise solvers have been implemented in diffusion and transport theory in APOLLO3 R, the multi-purpose deterministic transport code developed at CEA [2]

  • A new stochastic solver has been implemented for the neutron noise analysis in the frequency domain in the Monte Carlo code TRIPOLI-4 R, developed at CEA [3]

Read more

Summary

INTRODUCTION

Neutron noise analysis addresses the description of small time-dependent flux fluctuations induced by small global or local perturbations of the macroscopic cross sections [1]. A new stochastic solver has been implemented for the neutron noise analysis in the frequency domain in the Monte Carlo code TRIPOLI-4 R , developed at CEA [3]. Both solvers are under active verification and validation in the framework of the CORTEX H2020 European project [4].

Neutron noise theory
The deterministic algorithm implemented in APOLLO3 R
The general algorithm
The noise source sampling method
COMPARISON OF APOLLO3 R AND TRIPOLI-4 R NEUTRON NOISE SOLVERS
Description of the benchmark configuration
A simple noise source
An oscillation-induced noise source
CONCLUSIONS
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.