Modelling of adsorbate-size dependent explicit isotherms using a segregated approach to account for surface heterogeneities

Shrinjay Sharma, Marcello S. Rigutto, Richard Baur, Umang Agarwal, Erik Zuidema, Salvador R.G. Balestra, Sofia Calero, David Dubbeldam, Thijs J.H. Vlugt (Corresponding author)

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3 Citaten (Scopus)
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Samenvatting

Ideal Adsorbed Solution Theory (IAST) is a common method for modelling mixture adsorption isotherms based on pure component isotherms. When the adsorbent has distinct adsorption sites, the segregated version of IAST (SIAST) provides improved adsorbed loadings compared to IAST. We have adopted the concept of SIAST and applied it to an explicit isotherm model which takes into account the different sizes of the adsorbates: the so called Segregated Explicit Isotherm (SEI). The purpose of SEI is to have an explicit adsorption model that can consider both size-effects of the co-adsorbed molecules and surface heterogeneities. In sharp contrast to IAST and SIAST, no iterative scheme is required in case of SEI, which leads to much faster simulations. A comparative study has been performed to analyse the adsorption isotherms calculated using these three methods. The adsorbed loadings predicted by SEI and SIAST are in excellent agreement with the Grand-Canonical Monte Carlo (GCMC) simulation data. The loadings estimated by IAST show considerable deviations from the GCMC data at high pressures. Breakthrough curve modelling is used to compare the effects of these three models at dynamic conditions. The explicit model (SEI) leads to the fastest simulation run time, followed by SIAST.

Originele taal-2Engels
Artikelnummere2183721
Aantal pagina's18
TijdschriftMolecular Physics
Volume121
Nummer van het tijdschrift19-20
DOI's
StatusGepubliceerd - 17 mrt. 2023

Bibliografische nota

Publisher Copyright:
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Financiering

TJHV acknowledges NWO-CW for a VICI grant. This work was sponsored by NWO Domain Science for the use of supercomputer facilities. This work is part of the Advanced Research Center for Chemical Building Blocks, ARC-CBBC, which is co-funded and co-financed by the Netherlands Organization for Scientific Research (NWO) and the Netherlands Ministry of Economic Affairs and Climate Policy. S. R. G. B. was supported by [grant number POSTDOC_21_00069] funded by Consejería de Universidades, Investigación e Innovación, Junta de Andalucía.

FinanciersFinanciernummer
Ministerie van Economische Zaken en KlimaatPOSTDOC_21_00069
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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