Currently, the most promising amine absorption system for CO₂ capture still faces the challenges of heavy steam consumption and a high energy penalty. Thus, a new thermal–electrochemical co-driven system (TECS) for CO₂ capture was developed to resolve these problems. In the TECS, unknown electrochemical behaviors are quite essential to assess the CO₂ capture performance. Electrochemical experiments were designed using response surface methodology (RSM) to identify electrochemical effects. The results show that the cathode process is slow and difficult, which is the main limitation in improving the performance of the TECS. Forced convection is necessary to improve the diffusion-controlled process and accelerate desorption. Four factors (Cu(II) molality, CO₂ loading, temperature, KNO₃ molality) play an auxo-action role in determining anode and cathode reaction rates. A regression model is developed based on the experimental data, and optimum operating conditions are obtained. Regeneration energy consumption reaches about 1.3 GJ per t CO₂, a decline of up to 70% compared with the traditional process. In addition, preliminary CO₂ desorption experiments suggest that the mass transfer ascribed to the electrochemical process accounts for over 50% of the overall mass transfer coefficient in the CO₂ desorption process.

An effective approach for lowering CO₂ emissions from industrial processes is the absorption method of CO₂ capture. Because of the high energy required to break the bond of the carbamate ions during the stripping process, the intramolecular interaction (repulsive interaction) of N_carbamate-C_carbamate was discovered to be the main interaction. Therefore, the purpose of this study is to examine the amine-CO₂ bond strength for various carbamate molecules during the regeneration process using molecular dynamic modelling, as well as to explore the diffusion coefficient of various amines. The results of interaction intensity show that in comparison to other studied amines for inter – and intra-molecular interactions N, N, N′, N′-tetramethylpropane-1,3-diamine (TMPAD), N-dimethylcyclohexanamine (DMCA) and 4-diethylamino-2-butanol (DEAB) were easy to break. It shows that the TMPAD has the highest repulsive interaction; consequently, it needs the lowest energy to break the carbamate ion in the stripping process as compared to MEA. The order of regeneration energy required to break the bond for N_carbamate-C_carbamate in various selected amines from higher to lower is MEA > 2MAE > PZ > 2DMAE > 2EAE > AMP > 1DMA2P > MCA > DMCA > DEAB > TMPAD. The diffusion coefficient data for various blends reveal that the 2MAE-DEAB blend has the highest rate of diffusion when compared to other blends (2MAE-1DMA2P and 2MAE-TMPAD).