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Facing Challenges for Monte Carlo Analysis of Full PWR Cores: Towards Optimal Detail Level for Coupled Neutronics and Proper Diffusion Data for Nodal Kinetics

Abstract : Safety analysis of innovative reactor designs requires three dimensional modeling to ensure a sufficiently realistic description, starting from steady state. Actual Monte Carlo (MC) neutron transport codes are suitable candidates to simulate large complex geometries, with eventual innovative fuel. But if local values such as power densities over small regions are needed, reliable results get more difficult to obtain within an acceptable computation time. In this scope, NEA has proposed a performance test of full PWR core calculations based on Monte Carlo neutron transport, which we have used to define an optimal detail level for convergence of steady state coupled neutronics. Coupling between MCNP for neutronics and the subchannel code COBRA for thermal-hydraulics has been performed using the C++ tool MURE, developed for about ten years at LPSC and IPNO. In parallel with this study and within the same MURE framework, a simplified code of nodal kinetics based on two-group and few-point diffusion equations has been developed and validated on a typical CANDU LOCA. Methods for the computation of necessary diffusion data have been defined and applied to NU (Nat. U) and Th fuel CANDU after assembly evolutions by MURE. Simplicity of CANDU LOCA model has made possible a comparison of these two fuel behaviours during such a transient.
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Conference papers
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http://hal.in2p3.fr/in2p3-00905459
Contributor : Emmanuelle Vernay <>
Submitted on : Monday, November 18, 2013 - 12:35:20 PM
Last modification on : Wednesday, September 16, 2020 - 3:59:58 PM

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  • HAL Id : in2p3-00905459, version 1

Collections

IN2P3 | LPSC | CNRS | UGA | IPNO | GEPI

Citation

A. Nuttin, N. Capellan, S. David, X. Doligez, C. El Mhari, et al.. Facing Challenges for Monte Carlo Analysis of Full PWR Cores: Towards Optimal Detail Level for Coupled Neutronics and Proper Diffusion Data for Nodal Kinetics. Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA & MC 2013), Oct 2013, Paris, France. pp.02202. ⟨in2p3-00905459⟩

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