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The Impact of Reactor Model Simplification for Fuel Evolution: A Bias Quantification for Fuel Cycle Dynamic Simulations

Authors :
Somaini, A.
David, S.
Doligez, X.
Zakari-Issoufou, A.A.
Bidaud, A.
Cappelan, N.
Meplan, O.
Nuttin, A.
Prevot, P.
Courtin, F.
Leniau, B.
Mouginot, B.
Thiollière, Nicolas
Institut de Physique Nucléaire d'Orsay (IPNO)
Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire de Physique Subatomique et de Cosmologie (LPSC)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Laboratoire SUBATECH Nantes (SUBATECH)
Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Source :
ICAPP 2016, San Francisco, CA, April 17-20, 2016 International Congress on Advances in Nuclear Power Plants (ICAPP 2016), 2016 International Congress on Advances in Nuclear Power Plants (ICAPP 2016), Apr 2016, San Francisco, United States. pp.1045-1053
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

International audience; In nuclear scenario studies, the use of simplified assembly models to simulate fuel irradiation in nuclear reactor core can lead to important biases. To calculate the spent fuel composition, the CLASS package (Core Library for Advanced Scenario Simulations) uses a physic model (usually, we define physics model as: 1- Fuel Loading Model, 2- Cross Section Predictor, 3- Bateman Solver), based on a large number of different fuel evolution simulations. For that, a simple and reproducible model has been chosen: the “assembly model” that is described in this paper. In this model, the whole core is represented by a single assembly, or a part of it, with reflecting boundary conditions.As a first step to quantify the errors related to this approximation, three real size assembly configurations have been simulated: a reflected one, an axial open one and a realistic one (with moderator and reflector at its top and bottom). An exhaustive comparison is presented in this paper. Hence this work focuses on the neutron axial leakage impact on burn-up and isotope inventories calculations.Evolutions up to 50 GWd/t have been simulated with the depletion code MURE for all the geometries and main isotope inventories, fission and capture cross sections and Keff have been reported for each time step. Axial leakage effects on neutron spectrum and inventory distributions have been observed. In this paper, a bias quantification of axial leakage and a comparison with homogeneous leakage models, available in the Serpent code, are analyzed.

Details

Language :
English
Database :
OpenAIRE
Journal :
ICAPP 2016, San Francisco, CA, April 17-20, 2016 International Congress on Advances in Nuclear Power Plants (ICAPP 2016), 2016 International Congress on Advances in Nuclear Power Plants (ICAPP 2016), Apr 2016, San Francisco, United States. pp.1045-1053
Accession number :
edsair.dedup.wf.001..c869c181e1a6c2b62b7e691a55d4a91b