Literature DB >> 26931711

Thermal conductivity of molten salt mixtures: Theoretical model supported by equilibrium molecular dynamics simulations.

Aïmen E Gheribi1, Patrice Chartrand1.   

Abstract

A theoretical model for the description of thermal conductivity of molten salt mixtures as a function of composition and temperature is presented. The model is derived by considering the classical kinetic theory and requires, for its parametrization, only information on thermal conductivity of pure compounds. In this sense, the model is predictive. For most molten salt mixtures, no experimental data on thermal conductivity are available in the literature. This is a hindrance for many industrial applications (in particular for thermal energy storage technologies) as well as an obvious barrier for the validation of the theoretical model. To alleviate this lack of data, a series of equilibrium molecular dynamics (EMD) simulations has been performed on several molten chloride systems in order to determine their thermal conductivity in the entire range of composition at two different temperatures: 1200 K and 1300 K. The EMD simulations are first principles type, as the potentials used to describe the interactions have been parametrized on the basis of first principle electronic structure calculations. In addition to the molten chlorides system, the model predictions are also compared to a recent similar EMD study on molten fluorides and with the few reliable experimental data available in the literature. The accuracy of the proposed model is within the reported numerical and/or experimental errors.

Entities:  

Year:  2016        PMID: 26931711     DOI: 10.1063/1.4942197

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  1 in total

1.  Thermal Conductivity of FLiNaK in a Molten State.

Authors:  Alexey Rudenko; Alexander Redkin; Evgeniya Il'ina; Svetlana Pershina; Peter Mushnikov; Yuriy Zaikov; Sergey Kumkov; Yalan Liu; Weiqun Shi
Journal:  Materials (Basel)       Date:  2022-08-15       Impact factor: 3.748

  1 in total

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