Numerical study on transport properties of the working mixtures for coal supercritical water gasification based power generation systems
[Display omitted] •Viscosity of the H2O/CO2/H2 mixtures and H2O/CO2 mixtures is investigated.•Predicted values by EMD method and theoretical models are compared.•Self-diffusion coefficient, H-bond number and RDF are calculated.•The breakdown of Stokes–Einstein relation is found and discussed. Viscos...
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Published in | Applied thermal engineering Vol. 162; p. 114228 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
05.11.2019
Elsevier BV |
Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•Viscosity of the H2O/CO2/H2 mixtures and H2O/CO2 mixtures is investigated.•Predicted values by EMD method and theoretical models are compared.•Self-diffusion coefficient, H-bond number and RDF are calculated.•The breakdown of Stokes–Einstein relation is found and discussed.
Viscosity of H2O/CO2/H2 mixtures or H2O/CO2 mixtures is a vital transport property and required in the design of equipment for coal supercritical water gasification based power generation systems, however, no experimental data and studies have examined these viscosities in supercritical regions of water. In this paper, viscosity of these mixtures in supercritical regions of water is investigated by molecular dynamics method and different theoretical models. Moreover, the self-diffusion coefficient, radial distribution functions and H-bond number are also calculated via molecular dynamics simulations to make a better understanding of the temperature dependences of the viscosity of the mixtures in supercritical regions of water at a molecular level. The breakdown of Stokes–Einstein relation for the H2O/CO2/H2 mixture in supercritical regions of water is found and discussed. The prediction models and data put forth in this paper offer great value for practical application systems involving coal supercritical water gasification. |
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ISSN: | 1359-4311 1873-5606 |
DOI: | 10.1016/j.applthermaleng.2019.114228 |