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Rate-Based Modeling and Assessment of an Amine-Based Acid Gas Removal Process through a Comprehensive Solvent Selection Procedure

Author

Listed:
  • Neha Agarwal

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    These authors contributed equally to this work.)

  • Le Cao Nhien

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    These authors contributed equally to this work.)

  • Moonyong Lee

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

In this study, an industrial acid gas removal (AGR) process which uses amine-based solvents was designed and simulated. The selection of suitable absorbents is crucial for an effective AGR process. Therefore, various single and blended amine-based solvents for capturing acid gases were evaluated through a comprehensive procedure, including solvent screening and process design steps. First, various solvents were screened for their CO 2 and H 2 S absorption efficiencies. Promising solvents were then selected for the process design step, in which all process alternatives were simulated and rigorously designed using Aspen Plus. The non-equilibrium rate-based method with an electrolyte non-random two-liquid thermodynamic model was employed for modeling the absorption column. All processes were evaluated in terms of energy requirements, costs, and carbon emissions. The results show that a blend of methyldiethanolamine and piperazine solutions are the most promising solvents for the AGR process, as they can save up to 29.1% and 30.3% of the total annual costs and carbon emissions, respectively, compared to the methyldiethanolamine + diethanolamine solvent process.

Suggested Citation

  • Neha Agarwal & Le Cao Nhien & Moonyong Lee, 2022. "Rate-Based Modeling and Assessment of an Amine-Based Acid Gas Removal Process through a Comprehensive Solvent Selection Procedure," Energies, MDPI, vol. 15(18), pages 1-17, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6817-:d:918005
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    References listed on IDEAS

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    4. Jung, Wonho & Lee, Jinwon, 2022. "Thermodynamic and kinetic modeling of a novel polyamine-based solvent for energy-efficient CO2 capture with energy analysis," Energy, Elsevier, vol. 239(PE).
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