@Article{CiCP-23-1602,
author = {Gervais Lavoie , RaphaëlOuellet , MathieuHamelin , Jean and Bénard , Pierre},
title = {Numerical Implementation of the Multicomponent Potential Theory of Adsorption in Python Using the NIST Refprop Database},
journal = {Communications in Computational Physics},
year = {2018},
volume = {23},
number = {5},
pages = {1602--1625},
abstract = {<p style="text-align: justify;">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 CH<sub>4</sub>/CO<sub>2</sub> mixture are
modeled and parameterized as implementation examples.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2017-0012},
url = {http://global-sci.org/intro/article_detail/cicp/11228.html}
}