Experimental and theoretical investigation of equilibrium absorption performance of CO2 using a mixed 1-dimethylamino-2-propanol (1DMA2P) and monoethanolamine (MEA) solution

Morteza Afkhamipour, Masoud Mofarahi, Atefeh Rezaei, Rahele Mahmoodi, Chang Ha Lee

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6 Citations (Scopus)

Abstract

Reliable equilibrium solubility data and consistent thermodynamic models for CO2 in novel amine solutions are necessary to design and simulate the CO2 capture process. In this study, the first experimental data for the equilibrium solubility of CO2 in a mixed 1-dimethylamino-2-propanol (1DMA2P) and monoethanolamine (MEA) aqueous solution are reported. The experiments were performed over a CO2 partial pressure of 3–186 kPa, at a total concentration of 2.5 M, and at two different temperatures (313.15 and 333.15 K). The CO2 solubility data were measured using a static-synthetic method based on the material balance method. The extended-universal quasi-chemical (e-UNIQUAC) model was applied to predict the experimental data. The adjustable parameters were either obtained from the model or taken from the literature for experimental binary, ternary, and quaternary systems. Moreover, the species concentration in the liquid phase, activity coefficients, solution pH, and solution ionic strength were predicted. The experimental results show that the CO2 absorption capacity increases as the blend mole ratio of 1DMA2P/MEA increases. An acceptable error was obtained between the experimental data and the model-predicted values, with an absolute average relative deviation of 22.4%. The e-UNIQUAC model employed in this study can be used to simulate the CO2 absorption process by the 1DMA2P-MEA solution.

Original languageEnglish
Article number115877
JournalFuel
Volume256
DOIs
Publication statusPublished - 2019 Nov 15

Bibliographical note

Funding Information:
We thank the Persian Gulf University and the Converged Energy Materials Research Centre, Yonsei University , for financial support and for granting the required approval for this study.

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Organic Chemistry

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