Multiobjective optimization for nuclear fleet evolution scenarios using COSI

Autor: Guillaume Krivtchik, Romain Eschbach, Christine Coquelet-Pascal, David Freynet, Elsa Merle-Lucotte
Přispěvatelé: Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), Service de Physique des Réacteurs et du Cycle (SPRC), Département Etude des Réacteurs (DER), CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), 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]), Vernay, Emmanuelle, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: GLOBAL 2015 Proceedings
Nuclear Fuel Cycle for a Low-Carbon Future (GLOBAL 2015)
Nuclear Fuel Cycle for a Low-Carbon Future (GLOBAL 2015), Sep 2015, Paris, France. pp.814-823
HAL
EPJ N-Nuclear Sciences & Technologies
EPJ N-Nuclear Sciences & Technologies, 2016, 2, pp.9. ⟨10.1051/epjn/e2015-50066-7⟩
EPJ Nuclear Sciences & Technologies, Vol 2, p 9 (2016)
EPJ N-Nuclear Sciences & Technologies, EDP Sciences, 2016, 2, pp.9. ⟨10.1051/epjn/e2015-50066-7⟩
ISSN: 2491-9292
Popis: International audience; The consequences of various fleet evolution options on material inventories and flux in fuel cycle andwaste can be analysed by means of transition scenario studies. The COSI code is currently simulatingchronologically scenarios whose parameters are fully defined by the user and is coupled with the CESAR depletioncode. As the interactions among reactors and fuel cycle facilities can be complex, and the ways in which they maybe configured are many, the development of optimization methodology could improve scenario studies. Theoptimization problem definition needs to list: (i) criteria (e.g. saving natural resources and minimizing wasteproduction); (ii) variables (scenario parameters) related to reprocessing, reactor operation, installed powerdistribution, etc.; (iii) constraints making scenarios industrially feasible. The large number of scenariocalculations needed to solve an optimization problem can be time-consuming and hardly achievable; therefore, itrequires the shortening of the COSI computation time. Given that CESAR depletion calculations represent about95% of this computation time, CESAR surrogate models have been developed and coupled with COSI. Differentregression models are compared to estimate CESAR outputs: first- and second-order polynomial regressions,Gaussian process and artificial neural network. This paper is about a first optimization study of a transitionscenario from the current French nuclear fleet to a Sodium Fast Reactors fleet as defined in the frame of the 2006French Act for waste management. The present article deals with obtaining the optimal scenarios and validatingthe methodology implemented, i.e. the coupling between the simulation software COSI, depletion surrogatemodels and a genetic algorithm optimization method.
Databáze: OpenAIRE
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