| 论文标题 |
Processing Unit Mass Balance-Oriented Mathematical Optimization for Hydrogen Networks |
| 作者 |
Qiao Zhang,* Huachao Song, Guilian Liu, and Xiao Feng |
| 发表/完成日期 |
2018-02-20 |
| 期刊名称 |
Industrial & Engineering Chemistry Research |
| 期卷 |
57 |
| 相关文章 |
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| 论文简介 |
Hydrogen is becoming a more and more crucial resource for chemical industries. Hydrogen network integration is an
effective tool in hydrogen resource conservation. Hydrogen sources flow in and flow out from different processing units where
consumption, generation, mixing, and separation occur. Consequently, there is a dependence on both hydrogen and contaminant
species among those streams, especially when throughputs of processing units fluctuate. Hydrogen network integration should account
for such a dependence so that real properties including the flow rate and concentration can be obtained to perform reliable network
integration. This article proposes the processing unit mass balance to describe the dependence of hydrogen streams and establishes a
corresponding superstructure as problem illustration. A mixed integer nonlinear programing (MINLP) model is built to synthesize
hydrogen networks for fresh hydrogen minimization. This method considers the tolerable disturbance of the processing unit and thus a
reliable fresh hydrogen target and internal sources profile can be obtained. Two cases are employed to demonstrate its application. |
(创新港)
