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Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture

The adsorption—for separation, storage and transportation—of methane, hydrogen and their mixture is important for a sustainable energy consumption in present-day society. Graphene derivatives have proven to be very promising for such an application, yet for a good design a better understanding of th...

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Autores principales: Vekeman, Jelle, Bahamon, Daniel, García Cuesta, Inmaculada, Faginas-Lago, Noelia, Sánchez-Marín, José, Sánchez de Merás, Alfredo, Vega, Lourdes F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536989/
https://www.ncbi.nlm.nih.gov/pubmed/34684974
http://dx.doi.org/10.3390/nano11102534
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author Vekeman, Jelle
Bahamon, Daniel
García Cuesta, Inmaculada
Faginas-Lago, Noelia
Sánchez-Marín, José
Sánchez de Merás, Alfredo
Vega, Lourdes F.
author_facet Vekeman, Jelle
Bahamon, Daniel
García Cuesta, Inmaculada
Faginas-Lago, Noelia
Sánchez-Marín, José
Sánchez de Merás, Alfredo
Vega, Lourdes F.
author_sort Vekeman, Jelle
collection PubMed
description The adsorption—for separation, storage and transportation—of methane, hydrogen and their mixture is important for a sustainable energy consumption in present-day society. Graphene derivatives have proven to be very promising for such an application, yet for a good design a better understanding of the optimal pore size is needed. In this work, grand canonical Monte Carlo simulations, employing Improved Lennard–Jones potentials, are performed to determine the ideal interlayer distance for a slit-shaped graphene pore in a large pressure range. A detailed study of the adsorption behavior of methane, hydrogen and their equimolar mixture in different sizes of graphene pores is obtained through calculation of absolute and excess adsorption isotherms, isosteric heats and the selectivity. Moreover, a molecular picture is provided through z-density profiles at low and high pressure. It is found that an interlayer distance of about twice the van der Waals distance of the adsorbate is recommended to enhance the adsorbing ability. Furthermore, the graphene structures with slit-shaped pores were found to be very capable of adsorbing methane and separating methane from hydrogen in a mixture at reasonable working conditions (300 K and well below 15 atm).
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spelling pubmed-85369892021-10-24 Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture Vekeman, Jelle Bahamon, Daniel García Cuesta, Inmaculada Faginas-Lago, Noelia Sánchez-Marín, José Sánchez de Merás, Alfredo Vega, Lourdes F. Nanomaterials (Basel) Article The adsorption—for separation, storage and transportation—of methane, hydrogen and their mixture is important for a sustainable energy consumption in present-day society. Graphene derivatives have proven to be very promising for such an application, yet for a good design a better understanding of the optimal pore size is needed. In this work, grand canonical Monte Carlo simulations, employing Improved Lennard–Jones potentials, are performed to determine the ideal interlayer distance for a slit-shaped graphene pore in a large pressure range. A detailed study of the adsorption behavior of methane, hydrogen and their equimolar mixture in different sizes of graphene pores is obtained through calculation of absolute and excess adsorption isotherms, isosteric heats and the selectivity. Moreover, a molecular picture is provided through z-density profiles at low and high pressure. It is found that an interlayer distance of about twice the van der Waals distance of the adsorbate is recommended to enhance the adsorbing ability. Furthermore, the graphene structures with slit-shaped pores were found to be very capable of adsorbing methane and separating methane from hydrogen in a mixture at reasonable working conditions (300 K and well below 15 atm). MDPI 2021-09-28 /pmc/articles/PMC8536989/ /pubmed/34684974 http://dx.doi.org/10.3390/nano11102534 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vekeman, Jelle
Bahamon, Daniel
García Cuesta, Inmaculada
Faginas-Lago, Noelia
Sánchez-Marín, José
Sánchez de Merás, Alfredo
Vega, Lourdes F.
Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture
title Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture
title_full Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture
title_fullStr Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture
title_full_unstemmed Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture
title_short Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture
title_sort grand canonical monte carlo simulations to determine the optimal interlayer distance of a graphene slit-shaped pore for adsorption of methane, hydrogen and their equimolar mixture
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536989/
https://www.ncbi.nlm.nih.gov/pubmed/34684974
http://dx.doi.org/10.3390/nano11102534
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