In this paper, a focus is made on the methodology based on GSA. This innovative methodology is presented and applied to a simple fleet simulation composed of a PWR-UOx fuel and a PWR-MOx fuel. Calculations are done with the fuel cycle simulator CLASS developed by the CNRS/IN2P3 in collaboration with IRSN. | A methodology for performing sensitivity analysis in dynamic fuel cycle simulation studies applied to a PWR fleet simulated with the CLASS tool EPJ Nuclear Sci. Technol. 4 13 2018 Nuclear Sciences N. Thiollière et al. published by EDP Sciences 2018 amp Technologies https epjn 2018009 Available online at https REGULAR ARTICLE A methodology for performing sensitivity analysis in dynamic fuel cycle simulation studies applied to a PWR fleet simulated with the CLASS tool Nicolas Thiollière1 Jean-Baptiste Clavel2 Fanny Courtin1 Xavier Doligez3 Marc Ernoult3 Zakari Issoufou3 Guillaume Krivtchik4 Baptiste Leniau1 Baptiste Mouginot5 Adrien Bidaud6 Sylvain David3 Victor Lebrin1 Carole Perigois1 Yann Richet2 and Alice Somaini3 1 Subatech IMTA-IN2P3 CNRS-Université 44307 Nantes France 2 IRSN PSN-EXP SNC LNC BP 17 92262 Fontenay-aux-Roses France 3 Institut de Physique Nucléaire d Orsay CNRS-IN2P3 Univ. Paris-Sud Orsay France 4 CEA DEN Cadarache DER SPRC LECY 13108 Saint-Paul-lez-Durance France 5 Univ. of Wisconsin Madison Department of Nuclear Engineering and Engineering Physics Madison WI USA 6 Laboratoire de Physique Subatomique et de Cosmologie Université Grenoble-Alpes CNRS IN2P3 Grenoble France Received 23 August 2017 Received in final form 15 January 2018 Accepted 3 April 2018 Abstract. Fuel cycle simulators are used worldwide to provide scientific assessment to fuel cycle future strategies. Those tools help understanding the fuel cycle physics and determining the most impacting drivers at the cycle scale. A standard scenario calculation is usually based on a set of operational assumptions such as reactor Burn-Up deployment history cooling time etc. Scenario output is then the evolution of isotopes mass in the facilities that composes the nuclear fleet. The increase of computing capacities and the use of neutron data fast predictors provide new opportunities in nuclear scenario studies. Indeed a very high number of calculations is possible which
