| 초록 |
Carbon capture and storage technologies have been considered as a realistic option for mitigating the climate change and extensively studied over the last few decades. Many researchers have focused on CO2 capture and liquefaction process due to their high energy and cost consumption. However, dehydration process has been underestimated in its cost by treated as a simple linear model despite the importance of the process in CCS chain. In this study, superstructure-based optimization of CO2 compression and dehydration process is carried out. To develop a rigorous model, thermodynamic properties were validated with available experiment data from literature. The superstructure includes potential process options, the optimal design, operating conditions, and cost evaluation. MINLP optimization problem with 7 integer variables and 3 continuous variables is solved by genetic algorithm using Matlab integrated with Aspen Plus v8.8. As the result, the optimum process is identified among 30,720 possible process configurations. The total annualized cost (TAC) of the optimum process is 1,617,000 $/year. |
