Comprehensive 3E analysis and multi-objective optimization of a novel process for CO2 capture and separation process from syngas

Abstract

The traditional synthesis gas (syngas) production process in the coal chemical field encounters the problems of high cold energy consumption and difficulty in effectively capturing CO2. This limits the clean production and sustainable development of coal chemical industry. To solve this problem, this paper proposes a novel process for capturing and separating CO2 from syngas using [bmim][Tf2N]. This process can effectively reduce the cold energy consumption and improve the CO2 capture efficiency, which will help relieve the global concerns over CO2 emissions. Energy, economic, and environmental analyses of the process were conducted based on accurate modeling and simulation results. To balance the conflict between the economic and environmental performances, the non-dominated sorting genetic algorithm II method was used for the multi-objective optimization of the process. The CO2 escape flow rate and total annual cost were the objective functions of the multi-objective optimization scheme and had values that were 5.9% and 1.5% higher than their minimum values, respectively. Moreover, the multi-objective optimization scheme for this process was compared with the Rectisol process and CO2 capture from syngas using [emim][Tf2N]. This work provided new ideas for clean production of coal chemical industry, and also provided reference for the green sustainable development of relevant work.