Prediction of <scp>CO<sub>2</sub></scp> absorption in aqueous <scp>1DMA2P</scp> solutions using thermodynamics and molecular dynamic simulations

Abstract This study employs thermodynamic methods and molecular dynamics simulations to predict the CO 2 absorption capacity, reaction free energies, and densities in aqueous solutions of 1‐dimethylamino‐2‐propanol (1DMA2P). By combining quantum chemical calculations and classical molecular dynamics with optimized force field parameters, the model accurately predicts solution densities, pH values, and CO 2 absorption properties. The results show significant non‐ideal behavior in 1DMA2P solutions during CO 2 absorption, demonstrating the reliability of the developed model for predicting reaction equilibria and absorption performance, thus providing theoretical support for carbon capture technologies.

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Publication Details

Journal
AIChE Journal
Published
2025-05-27
DOI
https://doi.org/10.1002/aic.18917
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of CO2 absorption in aqueous 1DMA2P solutions using thermodynamics and molecular dynamic simulations

Miyi Li, Hao Long, Liqiang Lv, Xiao Dong et al.
AIChE Journal
Carbon Dioxide Capture Technologies
article

Prediction of CO2 absorption in aqueous 1DMA2P solutions using thermodynamics and molecular dynamic simulations

Miyi Li, Hao Long, Liqiang Lv, Xiao Dong, Tao Fang, Helei Liu, Chen Lv, Feng Zhao
article en

Abstract

Abstract This study employs thermodynamic methods and molecular dynamics simulations to predict the CO 2 absorption capacity, reaction free energies, and densities in aqueous solutions of 1‐dimethylamino‐2‐propanol (1DMA2P). By combining quantum chemical calculations and classical molecular dynamics with optimized force field parameters, the model accurately predicts solution densities, pH values, and CO 2 absorption properties. The results show significant non‐ideal behavior in 1DMA2P solutions during CO 2 absorption, demonstrating the reliability of the developed model for predicting reaction equilibria and absorption performance, thus providing theoretical support for carbon capture technologies.

AIChE JournalVol. 71(10)
Beijing Institute of Technology (CN), Shijiazhuang University (CN), Chinese Academy of Sciences (CN), Shanghai Advanced Research Institute (CN), Aerospace Testing (United States) (US), Hebei GEO University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Carbon Dioxide Capture Technologies
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Prediction of <scp>CO<sub>2</sub></scp> absorption in aqueous <scp>1DMA2P</scp> solutions using thermodynamics and molecular dynamic simulations — Miyi Li, Hao Long, et al. · AIChE Journal (2025) | TGRS Research Map | TGRS