Development of a hybrid neutron transport solver
Licentiate thesis, 2024
The framework consists of three steps: 1) the whole computational domain is divided into subsystems, 2) a set of collision probabilities inside every sub-system is estimated using Monte Carlo, and 3) the set of collision probabilities is used to estimate the neutron scalar flux and the effective multiplication factor using the ICM. The framework is verified against Monte Carlo reference solutions for three cases based on data from a sodium-cooled fast reactor system, i.e.: 1) a hexagonal fuel-pin cell with simplified and detailed geometry, 2) a hexagonal arrangement of seven fuel-pin cells surrounded by coolant, and 3) a full-size hexagonal fuel assembly.
In the first verification case, for both the simplified and the detailed fuel-pin cell, the framework was tested with and without production scattering cross sections, using 3 different coarse meshes, and considering collision probabilities estimated with different number of neutron histories. Good agreement with the reference solution is obtained for both simplified and detailed fuel-pin cells when using scattering production cross sections. The sensitivity analysis shows that increasing the number of neutron histories allows to minimize the uncertainty of the collision probabilities and thus improves the results. A coarse mesh with a combination of triangular and rectangular coarse nodes is used in the second and third verification cases. A relatively good agreement is obtained in terms of the effective multiplication factor and scalar neutron flux in fast systems.
Monte Carlo
Deterministic methods
Fast reactors
Interface current method
Hybrid neutron transport
Author
Hirepan Palomares Chavez
Chalmers, Physics, Subatomic, High Energy and Plasma Physics
Subject Categories (SSIF 2011)
Subatomic Physics
Computational Mathematics
Publisher
Chalmers
PJ lecture hall, Fysik Origo, Kemigården 1, Chalmers
Opponent: Klara Linnea Insulander Björk, Researcher, Division for medical radiation science, Gothenburg University, Gäteborg, Sweden