Next Article in Journal
Anxiety and the Ecological Crisis: An Analysis of Eco-Anxiety and Climate Anxiety
Next Article in Special Issue
A Kalman Filter-Based Approach for Online Source-Term Estimation in Accidental Radioactive Dispersion Events
Previous Article in Journal
Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China
Previous Article in Special Issue
Development of Analytical Procedures for Chemical Characterization of Substrates for the Production of TRISO Coated Particles as Nuclear Fuel in High Temperature Gas-Cooled Reactors
Review

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

1
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
2
Department of Energy, Nuclear Engineering Division—CeSNEF, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy
3
Istituto Nazionale di Fisica Nucleare, Sezione di Milano-Bicocca, Piazza della Scienza 3, 20126 Milano, Italy
4
Istituto Nazionale di Fisica Nucleare, Sezione di Genova, via Dodecaneso 33, 16146 Genova, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(18), 7835; https://doi.org/10.3390/su12187835
Received: 26 June 2020 / Revised: 13 September 2020 / Accepted: 17 September 2020 / Published: 22 September 2020
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. View Full-Text
Keywords: Lattice Boltzmann; LBM; computational fluid dynamic; CFD; nuclear; heat transfer; nuclear reactor; neutron transport; neutron diffusion; nuclear energy; fission; criticality Lattice Boltzmann; LBM; computational fluid dynamic; CFD; nuclear; heat transfer; nuclear reactor; neutron transport; neutron diffusion; nuclear energy; fission; criticality
Show Figures

Figure 1

MDPI and ACS Style

Bocanegra Cifuentes, J.A.; Borelli, D.; Cammi, A.; Lomonaco, G.; Misale, M. Lattice Boltzmann Method Applied to Nuclear Reactors—A Systematic Literature Review. Sustainability 2020, 12, 7835. https://doi.org/10.3390/su12187835

AMA Style

Bocanegra Cifuentes JA, Borelli D, Cammi A, Lomonaco G, Misale M. Lattice Boltzmann Method Applied to Nuclear Reactors—A Systematic Literature Review. Sustainability. 2020; 12(18):7835. https://doi.org/10.3390/su12187835

Chicago/Turabian Style

Bocanegra Cifuentes, Johan A., Davide Borelli, Antonio Cammi, Guglielmo Lomonaco, and Mario Misale. 2020. "Lattice Boltzmann Method Applied to Nuclear Reactors—A Systematic Literature Review" Sustainability 12, no. 18: 7835. https://doi.org/10.3390/su12187835

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop