Effects of the burnable poison heterogeneity on the long term control of excess of reactivity

Annals of Nuclear Energy

Volumn 33, Issue 9, 2006, Pages 794-803

  Talamo, Alberto ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ABSORPTION; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; MONTE CARLO METHODS; NUMERICAL ANALYSIS; STATISTICAL METHODS;

BURNABLE POISONS; EQUILIBRIUM COMPOSITIONS; NEEDLECYLINDERS HETEROGENEOUS DISTRIBUTIONS; POISON MACROSCOPIC ABSORPTION;

NUCLEAR ENERGY;

EID: 33745584647     PISSN: 03064549     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.anucene.2006.04.009     Document Type: Article

References (7)

1. Briesmeister, J.F., 2002. A general Monte Carlo N-Particle transport code - version 4c. LANL, LA-13709-M.
2. Cetnar, J., Gudowski, W., Wallenius, J., 1999. MCB: a continuous energy Monte Carlo burnup simulation code, in actinide and fission product partitioning and transmutation. EUR 18898 EN, OECD/NEA 523.
3. Cetnar, J., Gudowski, W., Wallenius, J., Tucek, K., 2001. Simulation of nuclide transmutation with Monte-Carlo Continuous Energy Burnup Code (MCB1C). In: Proc. Accelerator application 2001 and ADTTA 2001 Nuclear application in the new millennium, Reno, USA.
4. Duderstadt J.J., and Hamilton L.J. Nuclear Reactor Analysis (1976), John Wiley & Sons. 0-471-22363-8 p. 546
5. General Atomics, 2002. GT-MHR conceptual design description report. GA/NRC-337-02.
6. Talamo A., and Gudowski W. A Deep Burn fuel management strategy for the incineration of military plutonium in the Gas Turbine - Modular Helium Reactor in a detailed 3D geometry by the Monte Carlo Continuous Energy Burnup Code. Nuclear Science and Engineering 153/2 (2006) 172-183
7. Van Dam H. Long term control of excess reactivity by burnable particles. Annals of Nuclear Energy 27 (2000) 733-743