Skip to Main content Skip to Navigation
Journal articles

Development and verification of the neutron diffusion solver for the GeN-Foam multi-physics platform

Abstract : The Laboratory for Reactor Physics and Systems Behaviour at the PSI and the EPFL has been developing in recent years a new code system for reactor analysis based on OpenFOAM®. The objective is to supplement available legacy codes with a modern tool featuring state-of-the-art characteristics in terms of scalability, programming approach and flexibility. As part of this project, a new solver has been developed for the eigenvalue and transient solution of multi-group diffusion equations. Several features distinguish the developed solver from other available codes, in particular: object oriented programming to ease code modification and maintenance; modern parallel computing capabilities; use of general unstructured meshes; possibility of mesh deformation; cell-wise parametrization of cross-sections; and arbitrary energy group structure. In addition, the solver is integrated into the GeN-Foam multi-physics solver. The general features of the solver and its integration with GeN-Foam have already been presented in previous publications. The present paper describes the diffusion solver in more details and provides an overview of new features recently implemented, including the use of acceleration techniques and discontinuity factors. In addition, a code verification is performed through a comparison with Monte Carlo results for both a thermal and a fast reactor system.
Document type :
Journal articles
Complete list of metadatas
Contributor : Emmanuelle Vernay <>
Submitted on : Monday, July 18, 2016 - 9:38:25 AM
Last modification on : Thursday, November 19, 2020 - 1:01:38 PM





C. Fiorina, N. Kerkar, K. Mikityuk, P. Rubiolo, A Pautz. Development and verification of the neutron diffusion solver for the GeN-Foam multi-physics platform. Annals of Nuclear Energy, Elsevier Masson, 2016, 96, pp.212-222. ⟨10.1016/j.anucene.2016.05.023⟩. ⟨in2p3-01345977⟩



Record views