Multi-Objective Optimization of Gas Fractionation Unit Operation

被引:1
|
作者
Hou, Ligang [1 ]
Su, Chengli [1 ]
Li, Ping [1 ]
Cao, Jiangtao [1 ]
机构
[1] Liaoning Univ Petr & Chem Engn, Sch Informat & Control Engn, Fushun, Peoples R China
来源
MEASUREMENT & CONTROL | 2015年 / 48卷 / 02期
基金
中国国家自然科学基金;
关键词
This work was supported by National Natural Science Foundation of China (grant number 61203021) and Liaoning Scientific and Technological Project of China (grant number 2011216011);
D O I
10.1177/0020294015569258
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Gas fractionation unit is one of the main processes in refinery industries and consumes a significant portion of energy. Optimal operation of gas fractionation unit could reduce energy consumption and therefore minimize the production cost. This paper reports a real application of multi-objective optimization in a gas fractionation unit, in which energy consumption is minimized and product yield is maximized. The optimization algorithm is based on the non-dominate sorting genetic algorithm and the sequential unconstrained minimization technique. The optimization results show that the yield of product is increased and the energy consumption is reduced in the gas fractionation unit.
引用
收藏
页码:65 / 68
页数:4
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