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Plagne, L.

Publications and source records attributed to Plagne, L..

Novel fine flux integration methods for the DIABOLO simplified transport solver in COCAGNE

As part of its activity, EDF R and D is developing a new nuclear core simulation code named COCAGNE. This code relies on DIABOLO, a Simplified P{sub N} (SP{sub N}) method to compute the neutron flux inside the core for k{sub eff} eigenvalue problems. In order to complete complex simulations involving a large number of successive eigenvalue calculations within acceptable CPU times, the DIABOLO solver uses computational meshes that contain a restricted number of cells (e.g. 4x4 cells per assembly). Solutions obtained on these relatively coarse computational meshes are then spatially interpolated to obtain physical quantities such as neutron production rates on finer meshes (e.g. pin-by-pin power production). This paper describes two novel methods, named Straw-hat and Poisson, that allow the neutron flux to be integrated over fine mesh cells. Unlike the original method used in COCAGNE, these new methods compute accurate fine flux integrals trough the interpolation of the current DOFs of DIABOLO'S mixed dual RTk finite elements. Assessed on a set of 3-D PWR realistic core configurations, these methods are shown to bring about significant improvements over the original integration scheme: for smooth enough flux distribution, the Poisson method improves the pin-by-pin production rates accuracy by as much as one order of magnitude. (authors)

97 MATHEMATICS AND COMPUTING↗

DOMINO: A fast 3D cartesian discrete ordinates solver for reference PWR simulations and SPN validation

As part of its activity, EDF R and D is developing a new nuclear core simulation code named COCAGNE. This code relies on DIABOLO, a Simplified PN (SPN) method to compute the neutron flux inside the core for eigenvalue calculations. In order to assess the accuracy of SPN calculations, we have developed DOMINO, a new 3D Cartesian SN solver. The parallel implementation of DOMINO is very efficient and allows to complete an eigenvalue calculation involving around 300 x 10{sup 9} degrees of freedom within a few hours on a single shared-memory supercomputing node. This computation corresponds to a 26-group S{sub 8} 3D PWR core model used to assess the SPN accuracy. At the pin level, the maximal error for the SP{sub 5} DIABOLO fission production rate is lower than 0.2% compared to the S{sub 8} DOMINO reference for this 3D PWR core model. (authors)

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗

Hybrid parallel code acceleration methods in full-core reactor physics calculations

When dealing with nuclear reactor calculation schemes, the need for three dimensional (3D) transport-based reference solutions is essential for both validation and optimization purposes. Considering a benchmark problem, this work investigates the potential of discrete ordinates (Sn) transport methods applied to 3D pressurized water reactor (PWR) full-core calculations. First, the benchmark problem is described. It involves a pin-by-pin description of a 3D PWR first core, and uses a 8-group cross-section library prepared with the DRAGON cell code. Then, a convergence analysis is performed using the PENTRAN parallel Sn Cartesian code. It discusses the spatial refinement and the associated angular quadrature required to properly describe the problem physics. It also shows that initializing the Sn solution with the EDF SPN solver COCAGNE reduces the number of iterations required to converge by nearly a factor of 6. Using a best estimate model, PENTRAN results are then compared to multigroup Monte Carlo results obtained with the MCNP5 code. Good consistency is observed between the two methods (Sn and Monte Carlo), with discrepancies that are less than 25 pcm for the k{sub eff}, and less than 2.1% and 1.6% for the flux at the pin-cell level and for the pin-power distribution, respectively. (authors)

22 GENERAL STUDIES OF NUCLEAR REACTORS↗