期刊
ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING
卷 7, 期 -, 页码 S62-S70出版社
WILEY
DOI: 10.1002/apj.642
关键词
optimization; liquefaction; simulation; refrigerant; sequential quadric programming
资金
- Gas Plant RD Center
- Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government
- Korea Agency for Infrastructure Technology Advancement (KAIA) [58196] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [과C6B1910] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The liquefaction of natural gas (NG) in a mixed refrigerant (MR) system is an energy-demanding process. Much energy is wasted because of its irreversibilities and its nonoptimal execution. The most important factors affecting this process's performance are the refrigerant's composition and flow rate, the suction and evaporation pressures, and the extent of refrigerant vaporization. They should be adjusted to optimize the overall operation. The adjustment of one of these variables will affect the other because of their highly nonlinear interactions. This work reports the optimization of a single MR (SMR) process of NG liquefaction. The SMR process was modeled in the UniSim Design commercial process plant simulator, and the model was optimized for compression energy with nonlinear programming (NLP) while satisfying constraints. The base case for optimization was selected by mesh searching, and case study demonstrates that NLP can reduce energy use and improve the process's efficiency. (c) 2011 Curtin University of Technology and John Wiley & Sons, Ltd.
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