A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines
A hybrid predictive model has been developed for accurate prediction of thermodynamics of carbon dioxide separation by aqueous alkanolamines. The model incorporates equation of state/excess Gibbs energy model into Kent�Eisenberg approach to predict carbon dioxide�alkanolamine�water equilibria....
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2016
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my.utp.eprints.306852022-03-25T07:15:04Z A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines Suleman, H. Maulud, A.S. Man, Z. A hybrid predictive model has been developed for accurate prediction of thermodynamics of carbon dioxide separation by aqueous alkanolamines. The model incorporates equation of state/excess Gibbs energy model into Kent�Eisenberg approach to predict carbon dioxide�alkanolamine�water equilibria. The approach imparts theoretical corrections to Kent�Eisenberg approach and significantly extends their range of application for monoethanolamine, diethanolamine, methyldiethanolamine, and 2-amino-2-methyl-1-propanol solutions. The proposed model suitably predicts thermodynamics of carbon dioxide separation, well beyond the regressed range of parameters. The results are in excellent agreement with experimental data for a wide range of process parameters and found superior to existing thermodynamic approaches. © 2016 Taylor & Francis. Taylor and Francis Inc. 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987851786&doi=10.1080%2f01496395.2016.1217241&partnerID=40&md5=f89bc8812cea5f40e3c66e780e9ff694 Suleman, H. and Maulud, A.S. and Man, Z. (2016) A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines. Separation Science and Technology (Philadelphia), 51 (17). pp. 2744-2755. http://eprints.utp.edu.my/30685/ |
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A hybrid predictive model has been developed for accurate prediction of thermodynamics of carbon dioxide separation by aqueous alkanolamines. The model incorporates equation of state/excess Gibbs energy model into Kent�Eisenberg approach to predict carbon dioxide�alkanolamine�water equilibria. The approach imparts theoretical corrections to Kent�Eisenberg approach and significantly extends their range of application for monoethanolamine, diethanolamine, methyldiethanolamine, and 2-amino-2-methyl-1-propanol solutions. The proposed model suitably predicts thermodynamics of carbon dioxide separation, well beyond the regressed range of parameters. The results are in excellent agreement with experimental data for a wide range of process parameters and found superior to existing thermodynamic approaches. © 2016 Taylor & Francis. |
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Article |
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Suleman, H. Maulud, A.S. Man, Z. |
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Suleman, H. Maulud, A.S. Man, Z. A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines |
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Suleman, H. Maulud, A.S. Man, Z. |
author_sort |
Suleman, H. |
title |
A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines |
title_short |
A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines |
title_full |
A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines |
title_fullStr |
A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines |
title_full_unstemmed |
A hybrid equation of state and Kent-Eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines |
title_sort |
hybrid equation of state and kent-eisenberg model for accurate prediction of carbon dioxide separation by aqueous alkanolamines |
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Taylor and Francis Inc. |
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2016 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987851786&doi=10.1080%2f01496395.2016.1217241&partnerID=40&md5=f89bc8812cea5f40e3c66e780e9ff694 http://eprints.utp.edu.my/30685/ |
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