| 论文标题 |
Relative Concentration-Based Mathematical Optimization for the Fluctuant Analysis of Multi-Impurity Hydrogen Networks |
| 作者 |
Qiao Zhang, Huachao Song, Guilian Liu,* and Xiao Feng |
| 发表/完成日期 |
2016-09-07 |
| 期刊名称 |
Industrial &Engineering Chemistry Research |
| 期卷 |
55 |
| 相关文章 |
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| 论文简介 |
Hydrogen is a crucial and expensive resource
for refineries. Hydrogen network integration is an effective way
to conserve fresh hydrogen. On the basis of relative
concentration analysis, a mixed integer linear programming
(MILP) mathematical model is established to synthesize
refinery multi-impurity hydrogen networks. By correlating the
hydrogen consumption of a sink with its oil processing
throughputs, this model reveals the fresh hydrogen variation
tendency caused by fluctuation of each capacity, and
determines the key sink(s) of a hydrogen network with
multiple impurities on the premise of minimum fresh
hydrogen consumption. With a structure matrix variable,
practical hydrogen networks can be analyzed through the
proposed model. The results show that the novel method in this paper is superior to traditional absolute concentration-based
methods in fresh hydrogen conservation under cases of static, fluctuant throughputs, and fluctuant throughputs with restricted
network structure. Two cases are employed to demonstrate its application. |
(创新港)
