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Modeling the adsorption of pure gases on coals with the SLD model

Authors :
Fitzgerald, J.E.
Sudibandriyo, M.
Pan, Z.
Robinson Jr., R.L.
Gasem, K.A.M.
Source :
Carbon. Oct2003, Vol. 41 Issue 12, p2203. 14p.
Publication Year :
2003

Abstract

The simplified local density/Peng–Robinson model (SLD-PR) was modified to improve its predictive capability when dealing with near-critical and supercritical adsorption systems of the type encountered in coalbed methane recovery and CO2 sequestration. The goal was to develop efficient equation-of-state (EOS) computational frameworks for representing adsorption behavior, as well as to improve our understanding of the phenomenon. The ability of the modified SLD-PR to correlate accurately data for supercritical adsorption systems is demonstrated using adsorption measurements on activated carbon, Illinois #6 coal, Fruitland coal, and Lower Basin Fruitland coal. The results indicate that the modified SLD-PR model, which incorporates a modified repulsive parameter “b” for the PR EOS, is capable of modeling the adsorption of pure methane, nitrogen, and CO2 at coalbed conditions. Inclusion of a slit geometry in the adsorbent matrix yields results superior to our previous two-dimensional EOS models for the adsorbates considered. The results also indicate that accounting for the adsorption surface structure within the SLD-EOS framework is effective in improving modeling capability for high-pressure adsorption phenomena. An explanation is offered as to why the adsorbed-phase densities are close to the EOS reciprocal co-volumes. Further, the model (a) generates direct estimates for the adsorbed-phase densities (which facilitate reliable prediction of absolute gas adsorption) and (b) readily describes the observed maximum in Gibbs-adsorption isotherms of CO2 at the temperatures and pressures encountered in coalbeds. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00086223
Volume :
41
Issue :
12
Database :
Academic Search Index
Journal :
Carbon
Publication Type :
Academic Journal
Accession number :
10799436
Full Text :
https://doi.org/10.1016/S0008-6223(03)00202-1