Criticality assessment for prismatic high temperature reactors by fuel stochastic Monte Carlo modeling
2008 (English)In: Annals of Nuclear Energy, ISSN 0306-4549, E-ISSN 1873-2100, Vol. 35, no 5, 856-860 p.Article in journal (Refereed) Published
Modeling of prismatic high temperature reactors requires a high precision description due to the triple heterogeneity of the core and also to the random distribution of fuel particles inside the fuel pins. On the latter issue, even with the most advanced Monte Carlo techniques, some approximation often arises while assessing the criticality level: first, a regular lattice of TRISO particles inside the fuel pins and, second, the cutting of TRISO particles by the fuel boundaries. We utilized two of the most accurate Monte Codes: MONK and MCNP, which are both used for licensing nuclear power plants in United Kingdom and in the USA, respectively, to evaluate the influence of the two previous approximations on estimating the criticality level of the Gas Turbine Modular Helium Reactor. The two codes exactly shared the same geometry and nuclear data library, ENDF/B, and only modeled different lattices of TRISO particles inside the fuel pins. More precisely, we investigated the difference between a regular lattice that cuts TRISO particles and a random lattice that axially repeats a region containing over 3000 non-cut particles. We have found that both Monte Carlo codes provide similar excesses of reactivity, provided that they share the same approximations.
Place, publisher, year, edition, pages
2008. Vol. 35, no 5, 856-860 p.
Computer simulation, Gas turbines, Monte Carlo methods, Nuclear fuels, Nuclear power plants, Stochastic models, Precision description, Prismatic high temperature reactors, Random distribution, Regular lattices
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-34301DOI: 10.1016/j.anucene.2007.09.007ISI: 000255791500010ScopusID: 2-s2.0-41749115746OAI: oai:DiVA.org:kth-34301DiVA: diva2:420481
QC 201106012011-06-012011-06-012011-06-01Bibliographically approved