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

Neha Agarwal, Le Cao Nhien and Moonyong Lee ()
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Neha Agarwal: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Le Cao Nhien: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Moonyong Lee: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea

Energies, 2022, vol. 15, issue 18, 1-17

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.

Keywords: acid gas removal; process simulation; chemical absorption; rate-based approach; blended amines; Aspen Plus (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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