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.

中文翻译：

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面向处理单元质量平衡的氢网络数学优化

氢气正成为化学工业越来越重要的资源。氢网络集成是氢资源保护的有效工具。氢源流入和流出不同的处理单元，在那里发生消耗，产生，混合和分离。因此，特别是当处理单元的产量波动时，在这些物流中对氢气和污染物种类都有依赖性。氢气网络集成应考虑到这种依赖性，以便获得包括流量和浓度在内的实际属性，以执行可靠的网络集成。本文提出了处理单元的质量平衡，以描述氢气流的依赖性，并建立了相应的上部结构作为问题的例证。建立了混合整数非线性规划（MINLP）模型来合成氢网络，以使新鲜氢最小化。该方法考虑了处理单元的可容忍干扰，因此可以获得可靠的新鲜氢气目标和内部源曲线。使用两种情况来证明其应用。