LAPSE:2023.9843
Published Article
LAPSE:2023.9843
Rate-Based Modeling and Assessment of an Amine-Based Acid Gas Removal Process through a Comprehensive Solvent Selection Procedure
Neha Agarwal, Le Cao Nhien, Moonyong Lee
February 27, 2023
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 CO2 and H2S 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, Aspen Plus, blended amines, chemical absorption, process simulation, rate-based approach
Suggested Citation
Agarwal N, Cao Nhien L, Lee M. Rate-Based Modeling and Assessment of an Amine-Based Acid Gas Removal Process through a Comprehensive Solvent Selection Procedure. (2023). LAPSE:2023.9843
Author Affiliations
Agarwal N: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Cao Nhien L: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea [ORCID]
Lee M: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea [ORCID]
Journal Name
Energies
Volume
15
Issue
18
First Page
6817
Year
2022
Publication Date
2022-09-18
Published Version
ISSN
1996-1073
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Original Submission
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PII: en15186817, Publication Type: Journal Article
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doi:10.3390/en15186817
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Feb 27, 2023
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