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Performance investigation of MEA-1DMA2P solution for CO₂ capture: A rate-based modelling, optimization, and cost analysis
Afkhamipour, Morteza ; Shamsi, Mohammad ; Seifi, Ebad ; Hekmatiyan, Abbas ; ; Borhani, Tohid N.
Afkhamipour, Morteza
Shamsi, Mohammad
Seifi, Ebad
Hekmatiyan, Abbas
Borhani, Tohid N.
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2025-05-03
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Abstract
This study presents a framework for evaluating the performance of MEA-1DMA2P solution in CO₂ absorption for a structured packed bed by integrating a rate-based model with statistical optimization. The developed model is validated with experimental data. Sensitivity analysis identified mass transfer correlations as critical factors influencing CO₂ concentration profiles, with kinetic models having a less significant impact. Operating parameters showed that CO₂ removal efficiency increases with higher amine flow rate, column pressure, and amine temperature but decreases with higher CO₂ gas concentration. Efficiency notably declines when the amine temperature exceeds 333 K. Statistical optimization was used to analyze the combined influence of operating parameters on CO₂ removal performance. The response values for statistical optimization were obtained using the rate-based model, identifying the ranking of parameter impacts: amine flow rate had the most significant influence, followed by CO₂ partial pressure, blended amine temperature, and CO₂ loading of blended amine. Cost analysis was also done by scaling up the absorption system using an MEA-1DMA2P solution. The cost of CO₂ capture based on the absorber column was estimated as 40.35 $/tonne of CO₂, which is acceptable compared to the literature and other solvents and processes for CO₂ capture.
Citation
Afkhamipour, M., Shamsi, M., Seifi, E., Hekmatiyan, A., Ansarpour, M., Borhani, T.N. (2025) Performance investigation of MEA-1DMA2P solution for CO₂ capture: A rate-based modelling, optimization, and cost analysis. Journal of Industrial and Engineering Chemistry, 147, pp. 179-200.
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Journal article
Language
en
Description
This is an author's accepted manuscript of an article published by Elsevier on 03/05/2025, available online: https://doi.org/10.1016/j.jiec.2024.12.011
The accepted manuscript may differ from the final published version.
Series/Report no.
ISSN
1226-086X
EISSN
1876-794X