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Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model

In an effort to reduce the experimental tests required to characterize the mixed-gas solubility and solubility-selectivity of materials for membrane separation processes, there is a need for reliable models which involve a minimum number of adjustable parameters. In this work, the ability of the Dua...

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Autores principales: Ricci, Eleonora, De Angelis, Maria Grazia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359057/
https://www.ncbi.nlm.nih.gov/pubmed/30621225
http://dx.doi.org/10.3390/membranes9010008
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author Ricci, Eleonora
De Angelis, Maria Grazia
author_facet Ricci, Eleonora
De Angelis, Maria Grazia
author_sort Ricci, Eleonora
collection PubMed
description In an effort to reduce the experimental tests required to characterize the mixed-gas solubility and solubility-selectivity of materials for membrane separation processes, there is a need for reliable models which involve a minimum number of adjustable parameters. In this work, the ability of the Dual Mode Sorption (DMS) model to represent the sorption of CO(2)/CH(4) mixtures in three high free volume glassy polymers, poly(trimethylsilyl propyne) (PTMSP), the first reported polymer of intrinsic microporosity (PIM-1) and tetrazole-modified PIM-1 (TZ-PIM), was tested. The sorption of gas mixtures in these materials suitable for CO(2) separation has been characterized experimentally in previous works, which showed that these systems exhibit rather marked deviations from the ideal pure-gas behavior, especially due to competitive effects. The accuracy of the DMS model in representing the non-idealities that arise during mixed-gas sorption was assessed in a wide range of temperatures, pressures and compositions, by comparing with the experimental results available. Using the parameters obtained from the best fit of pure-gas sorption isotherms, the agreement between the mixed-gas calculations and the experimental data varied greatly in the different cases inspected, especially in the case of CH(4) absorbed in mixed-gas conditions. A sensitivity analysis revealed that pure-gas data can be represented with the same accuracy by several different parameter sets, which, however, yield markedly different mixed-gas predictions, that, in some cases, agree with the experimental data only qualitatively. However, the multicomponent calculations with the DMS model yield more reliable results than the use of pure-gas data in the estimation of the solubility-selectivity of the material.
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spelling pubmed-63590572019-02-14 Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model Ricci, Eleonora De Angelis, Maria Grazia Membranes (Basel) Article In an effort to reduce the experimental tests required to characterize the mixed-gas solubility and solubility-selectivity of materials for membrane separation processes, there is a need for reliable models which involve a minimum number of adjustable parameters. In this work, the ability of the Dual Mode Sorption (DMS) model to represent the sorption of CO(2)/CH(4) mixtures in three high free volume glassy polymers, poly(trimethylsilyl propyne) (PTMSP), the first reported polymer of intrinsic microporosity (PIM-1) and tetrazole-modified PIM-1 (TZ-PIM), was tested. The sorption of gas mixtures in these materials suitable for CO(2) separation has been characterized experimentally in previous works, which showed that these systems exhibit rather marked deviations from the ideal pure-gas behavior, especially due to competitive effects. The accuracy of the DMS model in representing the non-idealities that arise during mixed-gas sorption was assessed in a wide range of temperatures, pressures and compositions, by comparing with the experimental results available. Using the parameters obtained from the best fit of pure-gas sorption isotherms, the agreement between the mixed-gas calculations and the experimental data varied greatly in the different cases inspected, especially in the case of CH(4) absorbed in mixed-gas conditions. A sensitivity analysis revealed that pure-gas data can be represented with the same accuracy by several different parameter sets, which, however, yield markedly different mixed-gas predictions, that, in some cases, agree with the experimental data only qualitatively. However, the multicomponent calculations with the DMS model yield more reliable results than the use of pure-gas data in the estimation of the solubility-selectivity of the material. MDPI 2019-01-04 /pmc/articles/PMC6359057/ /pubmed/30621225 http://dx.doi.org/10.3390/membranes9010008 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ricci, Eleonora
De Angelis, Maria Grazia
Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model
title Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model
title_full Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model
title_fullStr Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model
title_full_unstemmed Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model
title_short Modelling Mixed-Gas Sorption in Glassy Polymers for CO(2) Removal: A Sensitivity Analysis of the Dual Mode Sorption Model
title_sort modelling mixed-gas sorption in glassy polymers for co(2) removal: a sensitivity analysis of the dual mode sorption model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359057/
https://www.ncbi.nlm.nih.gov/pubmed/30621225
http://dx.doi.org/10.3390/membranes9010008
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