Published 2013 | Version v1
Book

Efficient geometry and data handling for large-scale Monte Carlo - Thermal-hydraulics coupling

  • 1. Delft Nuclear Consultancy, IJsselzoom 2, 2902 LB Capelle aan den IJssel (Netherlands)

Description

Detailed coupling of thermal-hydraulics calculations to Monte Carlo reactor criticality calculations requires each axial layer of each fuel pin to be defined separately in the input to the Monte Carlo code in order to assign to each volume the temperature according to the result of the TH calculation, and if the volume contains coolant, also the density of the coolant. This leads to huge input files for even small systems. In this paper a methodology for dynamical assignment of temperatures with respect to cross section data is demonstrated to overcome this problem. The method is implemented in MCNP5. The method is verified for an infinite lattice with 3*3 BWR-type fuel pins with fuel, cladding and moderator/coolant explicitly modeled. For each pin 60 axial zones are considered with different temperatures and coolant densities. The results of the axial power distribution per fuel pin are compared to a standard MCNP5 run in which all 9*60 cells for fuel, cladding and coolant are explicitly defined and their respective temperatures determined from the TH calculation. Full agreement is obtained. For large-scale application the method is demonstrated for an infinite lattice with 17*17 PWR-type fuel assemblies with 25 rods replaced by guide tubes. Again all geometrical detailed is retained. The method was used in a procedure for coupled Monte Carlo and thermal-hydraulics iterations. Using an optimised iteration technique, convergence was obtained in 11 iteration steps. (author)

Availability note (English)

Available from doi: http://dx.doi.org/10.1051/snamc/201402507

Additional details

Identifiers

Publishing Information

Publisher
EDP Sciences
Imprint Place
Les Ulis (France)
Imprint Pagination
(Suppl.) 6 p.

Conference

Title
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
Acronym
SNA+MC 2013
Dates
27-31 Oct 2013
Place
Paris (France)

Optional Information

Notes
7 refs.