Numerical Implementation of the Multicomponent Potential Theory of Adsorption in Python Using the NIST Refprop Database

Numerical Implementation of the Multicomponent Potential Theory of Adsorption in Python Using the NIST Refprop Database

Year:    2018

Author:    Raphaël Gervais Lavoie, Mathieu Ouellet, Jean Hamelin, Pierre Bénard

Communications in Computational Physics, Vol. 23 (2018), Iss. 5 : pp. 1602–1625

Abstract

In this paper, we present a detailed numerical implementation of the multicomponent potential theory of adsorption which is among the most accurate gas mixtures adsorption models. The implementation uses the NIST Refprop database to describe fluid properties and applies to pure gases and mixtures in both subcritical and supercritical regimes. The limitations of the model and the issues encountered with its implementation are discussed. The adsorption isotherms of CH4/CO2 mixture are modeled and parameterized as implementation examples.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2017-0012

Communications in Computational Physics, Vol. 23 (2018), Iss. 5 : pp. 1602–1625

Published online:    2018-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    24

Keywords:    Adsorption mixture adsorption multicomponent adsorption potential theory of adsorption MPTA density functional theory.

Author Details

Raphaël Gervais Lavoie

Mathieu Ouellet

Jean Hamelin

Pierre Bénard

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