This study analyzed and compared amine based CO2 capture process using AMP-blended systems to optimize energy consumption of overall process and calculate the cost of CO2 capture. To predicts the behavior of four AMP based blended systems (MEA/AMP, DEA/AMP, MDEA/AMP, PZ/AMP), electrolyte-molecule pair parameters of E-NRTL model were optimized using reference CO2 solubility data at different amine mixing ratios and temperatures. The optimized parameters were used to design the conventional CCS process of four AMP blended systems, and overall system contained CO2 compression unit and dehydration unit. Next, the local and global sensitivity analysis (LSA, GSA) have been performed in terms of carbon capture rate and total equivalent work. Using Genetic algorithm, process optimization was performed for two key performance index (total equivalent work and CO2 capture cost) of each systems. And the optimal blending ratio and process condition (stripper pressure and reflux ratio, bottoms to feed ratio) were presented. Finally, optimized CO2 capture cost were showed for different CO2 capture rate (eg. 85%, 95%) when amine concentration and blending ratio were fixed for each systems.
