Lattice Boltzmann Method Applied to Nuclear Reactors—A Systematic Literature Review

Johan Augusto Bocanegra Cifuentes, Davide Borelli, Antonio Cammi, Guglielmo Lomonaco and Mario Misale
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Johan Augusto Bocanegra Cifuentes: DIME—Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei Trasporti, TEC Division, Università degli Studi di Genova, Via All’Opera Pia 15/A, 16145 Genova, Italy
Davide Borelli: DIME—Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei Trasporti, TEC Division, Università degli Studi di Genova, Via All’Opera Pia 15/A, 16145 Genova, Italy
Antonio Cammi: Department of Energy, Nuclear Engineering Division—CeSNEF, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy
Guglielmo Lomonaco: DIME—Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei Trasporti, TEC Division, Università degli Studi di Genova, Via All’Opera Pia 15/A, 16145 Genova, Italy
Mario Misale: DIME—Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei Trasporti, TEC Division, Università degli Studi di Genova, Via All’Opera Pia 15/A, 16145 Genova, Italy

Sustainability, 2020, vol. 12, issue 18, 1-37

Abstract: Nuclear engineering requires computationally efficient methods to simulate different components and systems of plants. The Lattice Boltzmann Method (LBM), a numerical method with a mesoscopic approach to Computational Fluid Dynamic (CFD) derived from the Boltzmann equation and the Maxwell–Boltzmann distribution, can be an adequate option. The purpose of this paper is to present a review of the recent applications of the Lattice Boltzmann Method in nuclear engineering research. A systematic literature review using three databases (Web of Science, Scopus, and ScienceDirect) was done, and the items found were categorized by the main research topics into computational fluid dynamics and neutronic applications. The features of the problem addressed, the characteristics of the numerical method, and some relevant conclusions of each study are resumed and presented. A total of 45 items (25 for computational fluid dynamics applications and 20 for neutronics) was found on a wide range of nuclear engineering problems, including thermal flow, turbulence mixing of coolant, sedimentation of impurities, neutron transport, criticality problem, and other relevant issues. The LBM results in being a flexible numerical method capable of integrating multiphysics and hybrid schemes, and is efficient for the inner parallelization of the algorithm that brings a widely applicable tool in nuclear engineering problems. Interest in the LBM applications in this field has been increasing and evolving from early stages to a mature form, as this review shows.

Keywords: Lattice Boltzmann; LBM; computational fluid dynamic; CFD; nuclear; heat transfer; nuclear reactor; neutron transport; neutron diffusion; nuclear energy; fission; criticality (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
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