Co-optimization of Amine Formulation and Process Flowsheet for Postcombustion Carbon Capture with Ternary Amine Blends

This study established a rate-based model for the ternary amine (MEA/MDEA/AMP) CO 2 capture process and employed a multiobjective genetic algorithm to achieve coordinated optimization of solvent formulation and process parameters. The basic process for CO 2 capture using a ternary amine blend is constructed, and the absorber intercooler (AIC) configuration and split-flow (SF) configuration are designed. The results indicate that the AIC process is suitable for higher-concentration absorbents, achieving a 12.25% reduction in liquid-to-gas ratio compared to the basic process and 5.53% reduction in total annual cost (TAC). The SF process significantly decreases the water content in the gas phase of the stripper column, leading to a 22.75% reduction in TAC. When combined, the effects demonstrate cumulative superposition, resulting in a 27.11% reduction in TAC and a 37.39% reduction in carbon emissions. The integration of a multiobjective genetic algorithm for parameter optimization provides an efficient solution for improving composite amine-based carbon capture technology.