Journal
COMPTES RENDUS CHIMIE
Volume 21, Issue 5, Pages 494-513Publisher
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.crci.2018.02.006
Keywords
Solubility; Supercritical CO2; Modeling; Density-based models
Categories
Funding
- Algerian Ministry of Higher Education and Scientific Research [J0102620110007, J0102620140015]
- University Yahia Fares of Medea
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A comprehensive data set on experimental solubility of 210 solid solutes in supercritical CO2 counting 5550 data points has been used for comparison of the correlation performance of 21 empirical models. On the basis of the comparison results a new eight parameter density-based model has been proposed. The comparison shows that the three-parameter models are the least accurate. The results also show that models that relate the logarithm of the solubility to the logarithm of solvent density and temperature are more accurate than models that include the pressure. When comparing the overall correlating performance in terms of average absolute relative deviation the proposed model is by far the best with an average absolute relative deviation lying in the range 0.17-81.99% and an average value of 8.88%. (C) 2018 Academie des sciences. Published by Elsevier Masson SAS. All rights reserved.
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