The effects of blending diisopropanolamine and 2-amino-2-methyl-1-propanol for carbon dioxide capture process: Comparative study using thermodynamic modeling and artificial neural network predictions

Amine-based absorption processes represents a promising strategy for CO 2 capture. This study systematically examined the CO 2 solubility, absorption behaviors, and regeneration energy ( Q regen ) of aqueous blended-amine solutions of diisopropanolamine (DIPA) and 2-amino-2-methyl-1-propanol (AMP) solutions. CO 2 solubility was experimentally measured across five blending ratios (30:0:70 to 0:30:70 (w/w)), four temperatures of (313–383 K), and CO 2 partial pressure up to 450 kPa. The data were well-correlated with both the electrolyte non-random two-liquid (e-NRTL) thermodynamic model and the artificial neural network (ANN) model. The model-physical alignment score was suggested as a novel metric to ensure consistency with fundamental absorption behaviors. While the thermodynamic model provided mechanistic insights, the ANN model offered a simpler, computationally efficient approach. Both models successfully generalized with a reduced dataset, reinforcing their applicability in absorbent screening. AMP exhibited superior CO 2 solubility, whereas DIPA offered benefits of lower pH and reduced heat of absorption. The absorption behavior of aqueous blended-amine solutions was characterized by prioritized AMPH + formation, leading to an AMP-dominated system at low CO 2 loading ratios. The analysis of Q regen , including sensible, reaction, and latent heats, revealed that the lowest Q regen was achieved from the single AMP system. The addition of 5 wt% DIPA resulted in only an 8 % increase in Q regen , still achieving a 33.4 % reduction compared to MEA . These findings highlight aqueous DIPA-AMP solutions as energy-efficient and chemically stable absorbents. • e-NRTL and ANN models effectively predicted CO 2 solubility and performance. • DIPA-AMP blends were studied for CO 2 solubility and regeneration energy. • AMP exhibited better CO 2 solubility and lower regeneration energy than DIPA. • 5 % DIPA added to AMP increased stability with minimal rise in regeneration energy. • AMP-dominated reactions at low CO 2 loading ratios enhanced DIPACOO − formation.

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Publication Details

Journal
Journal of Cleaner Production
Published
2025-04-08
DOI
https://doi.org/10.1016/j.jclepro.2025.145474
Citations
3
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
Field-Weighted Citation Impact
2.14

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article

The effects of blending diisopropanolamine and 2-amino-2-methyl-1-propanol for carbon dioxide capture process: Comparative study using thermodynamic modeling and artificial neural network predictions

Pil Rip Jeon, Kyung-min Kim, Sung-Chul Han, Hail Sung
3 citations
Journal of Cleaner Production
Carbon Dioxide Capture Technologies
2.14
article

The effects of blending diisopropanolamine and 2-amino-2-methyl-1-propanol for carbon dioxide capture process: Comparative study using thermodynamic modeling and artificial neural network predictions

Pil Rip Jeon, Kyung-min Kim, Sung-Chul Han, Hail Sung
article en
3 citations

Abstract

Amine-based absorption processes represents a promising strategy for CO 2 capture. This study systematically examined the CO 2 solubility, absorption behaviors, and regeneration energy ( Q regen ) of aqueous blended-amine solutions of diisopropanolamine (DIPA) and 2-amino-2-methyl-1-propanol (AMP) solutions. CO 2 solubility was experimentally measured across five blending ratios (30:0:70 to 0:30:70 (w/w)), four temperatures of (313–383 K), and CO 2 partial pressure up to 450 kPa. The data were well-correlated with both the electrolyte non-random two-liquid (e-NRTL) thermodynamic model and the artificial neural network (ANN) model. The model-physical alignment score was suggested as a novel metric to ensure consistency with fundamental absorption behaviors. While the thermodynamic model provided mechanistic insights, the ANN model offered a simpler, computationally efficient approach. Both models successfully generalized with a reduced dataset, reinforcing their applicability in absorbent screening. AMP exhibited superior CO 2 solubility, whereas DIPA offered benefits of lower pH and reduced heat of absorption. The absorption behavior of aqueous blended-amine solutions was characterized by prioritized AMPH + formation, leading to an AMP-dominated system at low CO 2 loading ratios. The analysis of Q regen , including sensible, reaction, and latent heats, revealed that the lowest Q regen was achieved from the single AMP system. The addition of 5 wt% DIPA resulted in only an 8 % increase in Q regen , still achieving a 33.4 % reduction compared to MEA . These findings highlight aqueous DIPA-AMP solutions as energy-efficient and chemically stable absorbents. • e-NRTL and ANN models effectively predicted CO 2 solubility and performance. • DIPA-AMP blends were studied for CO 2 solubility and regeneration energy. • AMP exhibited better CO 2 solubility and lower regeneration energy than DIPA. • 5 % DIPA added to AMP increased stability with minimal rise in regeneration energy. • AMP-dominated reactions at low CO 2 loading ratios enhanced DIPACOO − formation.

Journal of Cleaner ProductionVol. 506
Gangneung–Wonju National University (KR), Kongju National University (KR)
Ministry of Trade, Industry and Energy, Korea Institute of Energy Technology Evaluation and Planning, KEPCO Research Institute
Openalex Percentile: Top 14%
Carbon Dioxide Capture Technologies
2.14
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