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Thermodynamic modelling of carbon dioxide solubility in aqueous amino acid salt solutions and their blends with alkanolamines

Suleman, H. and Maulud, A.S. and Syalsabila, A. (2018) Thermodynamic modelling of carbon dioxide solubility in aqueous amino acid salt solutions and their blends with alkanolamines. Journal of CO2 Utilization, 26 . pp. 336-349.

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Abstract

In this study, two thermodynamic approaches, namely explicit model and modified Kent-Eisenberg model are presented for the accurate determination of carbon dioxide solubility in aqueous solutions of amino acid salts with different levels of complexity. Both models were further extended to the correlation of carbon dioxide solubility in aqueous blends of amino acid salts with alkanolamines. Firstly, the explicit model consists of a single mathematical equation. Its structure is computationally simple and derived from equilibrium thermodynamics theory. Secondly, the modified Kent-Eisenberg model utilizes detailed reaction mechanism for development of a polynomial equation, that is solved by combining all non-idealities in two correction factors. Both models suitably determined the thermodynamics of carbon dioxide loaded aqueous amino acid salt solutions and their blends with alkanolamines. The results were in good agreement with experimental data for representative amino acid salt solutions (potassium and/or sodium salts of lysine, glycine, proline, sarcosine, serine, threonine, alanine, phenylalanine, amino-butyric acid, glutamine and asparagine) and their blends with alkanolamines (2-amino-2-methyl-1-propanol and piperazine) for range of process parameters. For carbon dioxide solubility in aqueous amino acid salt solutions, the AARE for explicit and modified Kent-Eisenberg model was 13.85 and 13.84, respectively. For carbon dioxide solubility in aqueous blends of amino acid salt and alkanolamine solutions, the AARE for explicit and modified Kent-Eisenberg model was 18.25 and 17.25, respectively. Both models use a small number of adjustable parameters. This indicates that generated parameters are able to accurately predict the carbon dioxide solubility at other process conditions, with minimum computational intricacy. © 2018 Elsevier Ltd. All rights reserved.

Item Type:Article
Impact Factor:cited By 0
Uncontrolled Keywords:Alkanolamines; Amino acids; Butyric acid; Phase equilibria; Polynomials; Salts; Solubility; Solutions; Thermodynamics, 2-amino-2-methyl-1-propanol; Adjustable parameters; Alkanolamine; Detailed reaction mechanisms; Equilibrium thermodynamics; Mathematical equations; Thermodynamic approaches; Thermodynamic modelling, Carbon dioxide
ID Code:21461
Deposited By: Ahmad Suhairi
Deposited On:25 Sep 2018 06:33
Last Modified:25 Sep 2018 06:33

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