| 초록 |
A systematic framework to determine optimal membrane configuration and operating conditions in a holistic manner was developed under MATLABⓇ environment. Genetic Algorithm(GA) was applied to identify global optimum with an objective function composed of reliable cost basis. As a part of case study, this framework was applied to design membrane cascades for the coal-fired power plant (600 MWe) with satisfaction of 95 % CO2 purity and 90 % CO2 recovery. Also, the introduction of Robeson upper bound correlation to the framework can provide appropriate membrane performance. As a result, it is proposed that membrane having minimum 4000 GPU and CO2/N2 selectivity 50 in a commercial scale module would be an optimal membrane performance. In addition, a case of the design with different membrane performance gave the combination of permeance preferred or selectivity preferred in each multi-stage membrane process. This research was supported by the Korea Carbon Capture & Sequestration R&D Center (KCRC) through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2014M1A8A1049338) |
