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Modelling adsorption using an augmented two-dimensional statistical associating fluid theory: 2D-SAFT-VR Mie.

Authors :
Campos-Villalobos, Gerardo
Ravipati, Srikanth
Haslam, Andrew J.
Jackson, George
Suaste, Jonatan
Gil-Villegas, Alejandro
Source :
Molecular Physics. Dec2019, Vol. 117 Issue 23/24, p3770-3782. 13p.
Publication Year :
2019

Abstract

We present an extension of the SAFT-VR Mie approach to model adsorption of molecular fluids based on a two-dimensional (2D) approximation to describe the adsorbed fluid. Analytical results are provided for the first- and second-order perturbation terms of the free energy for the 2D system. The adsorption model is based on the assumption that the particle pair interactions in the adsorbed and bulk phases are described with the same Mie potential exponents λ a and λ r , in contrast with the square-well version of the 2D-SAFT-VR approach in which it is considered necessary to modify the attractive ranges of the SW interactions. This important difference between the two approaches leads to a reduction in the number of molecular parameters to be determined. In order to demonstrate the performance of the 2D-SAFT-VR Mie approach, we present results for the the modelling of carbon dioxide (CO2) and methane (CH4) adsorbed onto dry coal. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00268976
Volume :
117
Issue :
23/24
Database :
Academic Search Index
Journal :
Molecular Physics
Publication Type :
Academic Journal
Accession number :
140855380
Full Text :
https://doi.org/10.1080/00268976.2019.1665724