| 학회 |
한국화학공학회 |
| 학술대회 |
2017년 가을 (10/25 ~ 10/27, 대전컨벤션센터) |
| 권호 |
23권 2호, p.1568 |
| 발표분야 |
공정시스템 |
| 제목 |
Design optimization of single mixed refrigerant natural gas liquefaction process using Strawberry plant based approach |
| 초록 |
A metaheuristic strawberry based algorithm was investigated for the optimization of a single mixed refrigerant for LNG process. Optimal design of an LNG process involves multivariable non-linear thermodynamic interactions, which leads to entropy generation and contribute to process irreversibility. As key decision variables, optimal values of mixed refrigerant flow rates and process operating pressures were determined in roots propagation pattern corresponding to the minimum required energy. Process was modeled in Hysys and then connected with SBA coded in MATLAB. Optimal operating conditions found by SBA significantly reduced the energy of process and improved the coefficient of performance in comparison with base case. SBA was also compared with other well-proven optimization algorithms such as genetic and particle swarm optimization algorithms. This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2015R1D1A3A01015621) and by Priority Research Centers Program through the NRF funded by the Ministry of Education (2014R1A6A1031189). |
| 저자 |
카딜킨자, Muhammad Abdul Qyyum, Wahid Ali, Hussain Arif, 오세희, 이문용
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| 소속 |
영남대 |
| 키워드 |
공정최적화 |
| E-Mail |
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| 원문파일 |
초록 보기 |
