화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2018년 가을 (10/24 ~ 10/26, 대구 EXCO)
권호 24권 2호, p.1266
발표분야 공정시스템(Process Systems Engineering)
제목 Design optimization of dual mixed refrigerant natural gas liquefaction process
초록 An optimization of the dual mixed refrigerant (DMR) natural gas liquefaction (LNG) process involves highly non-linear interactions between decision variables, constraints, and the objective function. These non-linear interactions lead to an irreversibility, which deteriorates the energy efficiency of the liquefaction process. In this study, a newly developed single-solution based metaheuristic vortex search optimization algorithm is examined for the optimization of the DMR process, which is modeled in Aspen Hysys® and then connected to MATLAB in which algorithm is coded. The optimal operating conditions found by the proposed optimization methodology reduces the significant amount of required energy for the DMR process in comparison with the base DMR case. This research was supported by the Basic Science Research Program Foundation of Korea (NRF) funded by the Ministry of Education (2018R1A2B6001566), the Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A6A1031189), and the Engineering Development Research Center (EDRC) funded by the Ministry of Trade, Industry & Energy (MOTIE) (No. N0000990).
저자 카딜킨자, Muhammad Abdul Qyyum, Alam Nawaz, Junaid Haider, Muhammad Zahoor, 이문용
소속 영남대
키워드 공정모델링
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