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Sun, Yunhao
Publications (4 of 4) Show all publications
Chen, Y., Sun, Y., Yang, Z., Lu, X. & Ji, X. (2020). CO2 separation using a hybrid choline-2-pyrrolidine-carboxylic acid/polyethylene glycol/water absorbent. Applied Energy, 257, Article ID 113962.
Open this publication in new window or tab >>CO2 separation using a hybrid choline-2-pyrrolidine-carboxylic acid/polyethylene glycol/water absorbent
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 257, article id 113962Article in journal (Refereed) Published
Abstract [en]

Developing novel hybrid absorbents is essential for CO2 separation. In this study, the density and viscosity of a hybrid absorbent (choline-2-pyrrolidine-carboxylic acid/polyethylene glycol/water ([Cho][Pro]/PEG200/H2O)) were measured experimentally, and its CO2 solubility was also determined. The excess mole volume and excess Gibbs energy of activation of the hybrid absorbent were further estimated to understand the molecular structure and interactions between [Cho][Pro]/PEG200 and H2O. The CO2 solubilities in [Cho][Pro]/PEG200 and [Cho][Pro]/H2O were analyzed and described using the Redlich–Kwong non-random-two-liquid (RK-NRTL) model. Furthermore, the CO2 solubility in the hybrid absorbent was predicted using the RK-NRTL model and was compared with the new experimental results for verification. The effect of H2O on the CO2 absorption performance was further analyzed. The performance and cost of the hybrid absorbent were compared with those of other commercialized CO2 absorbents. In addition, the recyclability of the hybrid absorbent for CO2 separation was studied. The results of this study indicated that the hybrid absorbent could be promising for CO2 separation.

Place, publisher, year, edition, pages
Elsevier, 2020
Keywords
Ionic liquid, Carbon dioxide, Property, Solubility, Modeling
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
urn:nbn:se:ltu:diva-76484 (URN)10.1016/j.apenergy.2019.113962 (DOI)2-s2.0-85073480738 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-10-23 (johcin)

Available from: 2019-10-23 Created: 2019-10-23 Last updated: 2019-10-29Bibliographically approved
Sun, Y., Schemann, A., Held, C., Lu, X., Shen, G. & Ji, X. (2019). Modeling Thermodynamic Derivative Properties and Gas Solubility of Ionic Liquids with ePC-SAFT. Industrial & Engineering Chemistry Research, 58(19), 8401-8417
Open this publication in new window or tab >>Modeling Thermodynamic Derivative Properties and Gas Solubility of Ionic Liquids with ePC-SAFT
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2019 (English)In: Industrial & Engineering Chemistry Research, ISSN 0888-5885, E-ISSN 1520-5045, Vol. 58, no 19, p. 8401-8417Article in journal (Refereed) Published
Abstract [en]

In this work, the ion-specific electrolyte perturbed-chain statistical associating fluid theory (ePC-SAFT) was extended to predict the second-order thermodynamic derivative properties and gas solubility of the ionic liquids (ILs) containing one of the IL cations ([Cnmim]+, [Cnpy]+, [Cnmpy]+, [Cnmpyr]+, and [THTDP]+) and one of the IL anions ([Tf2N], [PF6], [BF4], [tfo], [DCA], [SCN], [C1SO4], [C2SO4], [eFAP], Cl, [Ac], and Br). The ideal-gas isobaric heat capacities of ILs were estimated by the group contribution method for obtaining the heat capacity. The model prediction results were compared with the available experimental data, and the comparison shows that the ePC-SAFT prediction is reliable for most ILs. Furthermore, one adjustable ion-specific binary interaction parameter between the IL ion and CO2 can be used to further improve the model prediction performance for the CO2 solubility in ILs.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2019
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
urn:nbn:se:ltu:diva-74685 (URN)10.1021/acs.iecr.9b00254 (DOI)000468368100074 ()2-s2.0-85065545825 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-06-18 (johcin)

Available from: 2019-06-18 Created: 2019-06-18 Last updated: 2019-06-18Bibliographically approved
Sun, Y., Shen, G., Held, C., Feng, X., Lu, X. & Ji, X. (2018). Modeling Viscosity of Ionic Liquids with Electrolyte Perturbed-Chain Statistical Associating Fluid Theory and Free Volume Theory (ed.). Industrial & Engineering Chemistry Research, 57(26), 8784-8801
Open this publication in new window or tab >>Modeling Viscosity of Ionic Liquids with Electrolyte Perturbed-Chain Statistical Associating Fluid Theory and Free Volume Theory
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2018 (English)In: Industrial & Engineering Chemistry Research, ISSN 0888-5885, E-ISSN 1520-5045, Vol. 57, no 26, p. 8784-8801Article in journal (Refereed) Published
Abstract [en]

Viscosity is one of the most important physical properties when developing ionic liquids (ILs) for industrial applications such as CO2 separation. The viscosities of ILs have been measured experimentally, while the modeling work is still limited. In this work, the electrolyte perturbed-chain statistical associating fluid theory (ePC-SAFT) was combined with the free volume theory (FVT) to model the viscosities of pure ILs and IL mixtures up to high pressures and temperatures, in which the ePC-SAFT was used to calculate the density as inputs for modeling the viscosity of ILs with FVT. The ILs under consideration contain one of the IL cations [Cnmim]+, [Cnpy]+, [Cnmpy]+, [Cnmpyr]+, or [THTDP]+ and one of the IL anions [Tf2N], [PF6], [BF4], [tfo], [DCA], [SCN], [C1SO4], [C2SO4], [eFAP], Cl, [Ac], or Br. In total, 89 ILs were considered combined with a thorough literature survey of the available experimental viscosity data and evaluation. The comparison with the available experimental viscosities shows that the model can provide reliable representation and prediction for most of the pure ILs in a wide temperature and pressure range, and it can be further used to predict and describe the viscosity of IL mixtures reliably.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2018
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
urn:nbn:se:ltu:diva-69298 (URN)10.1021/acs.iecr.8b00328 (DOI)000438310800014 ()2-s2.0-85048130276 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-08-02 (rokbeg)

Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2019-03-26Bibliographically approved
Yuan, S., Yang, Z., Ji, X., Chen, Y., Sun, Y. & Lu, X. (2017). CO2 absorption in mixed aqueous solution of MDEA and cholinium glycinate. Energy & Fuels, 31(7), 7325-7333
Open this publication in new window or tab >>CO2 absorption in mixed aqueous solution of MDEA and cholinium glycinate
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2017 (English)In: Energy & Fuels, ISSN 0887-0624, E-ISSN 1520-5029, Vol. 31, no 7, p. 7325-7333Article in journal (Refereed) Published
Abstract [en]

A new mixed solvent system that consists of cholinium glycinate ([Cho][Gly]) and aqueous N-methyldiethanolamine (MDEA) solution was developed in this work to serve as CO2 absorbent. The equilibrium absorption was carried out to investigate the effect of solution composition, pressure and temperature on CO2 absorption performance. The effect of CO2 absorption on the viscosity of the aqueous solutions was studied, and the regeneration efficiency of the aqueous solutions was also investigated. The results showed that the CO2 absorption loading decreased with increasing [Cho][Gly] concentration and temperature, and the absorption loading strongly depended on CO2 partial pressure. The reactivity of MDEA was significantly enhanced with the addition of [Cho][Gly]. The aqueous solution with (10 wt % [Cho][Gly] + 20 wt % MDEA) showed an optimal CO2 absorption and high regeneration efficiency. Furthermore, the CO2 absorption mechanism in the aqueous [Cho][Gly]-MDEA solution was explored by 13C Nuclear Magnetic Resonance (NMR), which indicated that the CO2 absorption in the aqueous [Cho][Gly]-MDEA solution was zwitterion mechanism.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2017
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
urn:nbn:se:ltu:diva-63885 (URN)10.1021/acs.energyfuels.7b00927 (DOI)000406356600072 ()2-s2.0-85025157219 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-08-10 (rokbeg)

Available from: 2017-06-12 Created: 2017-06-12 Last updated: 2018-07-10Bibliographically approved
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