文献类型：期刊文献

英文题名：MINLP Model for Operational Optimization of LNG Terminals

作者：Ye, Zhencheng[1];Mo, Xiaoyan[1];Zhao, Liang[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2021

卷号：9

期号：4

外文期刊名：PROCESSES

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000643650800001)】；

基金：This research was funded by National Natural Science Foundation of China (Basic Science Center Program: 61988101, 61873092), International (Regional) Cooperation and Exchange Project (61720106008), National Natural Science Fund for Distinguished Young Scholars (61725301) and Fundamental Research Funds for the Central Universities (222202017006).

语种：英文

外文关键词：LNG terminal; operational optimization; BOG compressor; MINLP

摘要：Liquefied natural gas (LNG) is a clear and promising fossil fuel which emits less greenhouse gas (GHG) and has almost no environmentally damaging sulfur dioxide compared with other fossil fuels. An LNG import terminal is a facility that regasifies LNG into natural gas, which is supplied to industrial and residential users. Modeling and optimization of the LNG terminals may reduce energy consumption and GHG emission. A mixed-integer nonlinear programming model of the LNG terminal is developed to minimize the energy consumption, where the numbers of boil-off gas (BOG) compressors and low-pressure (LP) pumps are considered as integer variables. A case study from an actual LNG terminal is carried out to verify the practicality of the proposed method. Results show that the proposed approach can decrease the operating energy consumption from 9.15% to 26.1% for different seasons.