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Experimental study of CO2 absorption in aqueous cholinium-based ionic liquids
Key Laboratory of Material and Chemical Engineering, Nanjing Tech University, Nanjing .
Key Laboratory of Material and Chemical Engineering, Nanjing Tech University, Nanjing .
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-0200-9960
Key Laboratory of Material and Chemical Engineering, Nanjing Tech University, Nanjing .
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2017 (English)In: Fluid Phase Equilibria, ISSN 0378-3812, E-ISSN 1879-0224, Vol. 445, p. 14-24Article in journal (Refereed) Published
Abstract [en]

CO2 removal (or separation) is the key step for biogas upgrading. This research aims to investigate aqueous solutions of amino acid ionic liquids to achieve effective CO2 separation. In this work, three cholinium-based amino acid ionic liquids ([Cho][AA]s) (i.e. cholinium glycinate ([Cho][Gly]), cholinium alaninate ([Cho][Ala]) and cholinium prolinate ([Cho][Pro])) were synthesized and characterized. The effect of water on the viscosity, CO2 absorption loading (m and α) and apparent absorption rate constant was systematically studied. The CO2 absorption mechanism in the aqueous solution of [Cho][Gly] was explored by 13C Nuclear Magnetic Resonance (NMR). The results demonstrate that the absorption loading (m) and viscosity increase with increasing IL concentration, while the apparent absorption rate constant decreases. The absorption loading decreased with increasing temperature. The CO2 absorption mechanism in the aqueous [Cho][Gly] solution started with the chemical reaction to form carbamate at low absorption loading (α), and followed by the hydrolysis of carbamate and CO2 hydration reaction at high absorption loading (α). Moreover, the aqueous solution with 5 wt % [Cho][Gly] showed the highest regeneration efficiency, and the absorption and regeneration performance of the aqueous solution of [Cho][Gly] was compared with commercial CO2 absorbents with promising results.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 445, p. 14-24
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-63139DOI: 10.1016/j.fluid.2017.04.001ISI: 000403516700003Scopus ID: 2-s2.0-85019203299OAI: oai:DiVA.org:ltu-63139DiVA, id: diva2:1090523
Note

Validerad; 2017; Nivå 2; 2017-05-11 (andbra)

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2018-07-10Bibliographically approved

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Ji, Xiaoyan

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