Mixture adsorption on zeolites applying the Pisat temperature-dependency approach
In this study, the feasibility of the Pisat temperature-dependency approach in predicting mixture adsorption loadings on zeolites is examined. The presented case examples show that IAST, RAST or extended Langmuir together with the pure component saturated vapour pressure Pisat to describe the temper...
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Published in | Chemical engineering science Vol. 89; pp. 89 - 101 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.02.2013
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Subjects | |
Online Access | Get full text |
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Summary: | In this study, the feasibility of the Pisat temperature-dependency approach in predicting mixture adsorption loadings on zeolites is examined. The presented case examples show that IAST, RAST or extended Langmuir together with the pure component saturated vapour pressure Pisat to describe the temperature dependency of adsorption, can be used to predict mixture adsorption. The approach makes it possible to predict mixture adsorption in various temperature, pressure and composition conditions by utilizing pure component adsorption data at only one temperature. In addition to vapour phase adsorption, the Pisat temperature-dependency approach is also found to be applicable in modelling liquid mixture adsorption. The approach is a valuable engineering tool especially in cases where there is a lack of adsorption data. The approach can be used e.g., in zeolite membrane permeation modelling, where the adsorption phenomenon has a considerable significance.
► Mixture adsorption on zeolites can be predicted by Pisat temperature-dependency approach. ► Prediction is possible based on pure component adsorption data at one temperature. ► Applying the approach is convenient due to the availability of pure component Pisat data. ► Besides vapour adsorption, the approach can be used for liquid mixture adsorption. ► The approach is a valuable engineering tool when there is a lack of adsorption data. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0009-2509 1873-4405 |
DOI: | 10.1016/j.ces.2012.11.035 |