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Validation of a hydrogen network RTO application for decision support of refinery operators

机译:验证炼油厂运营商决策支持的氢网络RTO申请

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The validation process of a real-time optimiser (RTO) of a refinery hydrogen network is studied in this paper. The analysis focuses on the RTO utility for operators’ decision support, due to process and equipment uncertainties, such as actual hydrogen demand and hydrocarbons (HC) loads. The validation underpins on the analysis of shortlisted key network variables, comparing actual reconciled (REC) and RTO figures. This methodology is applied to: a high hydrogen demand scenario (period 1), and a low hydrogen demand scenario (period 2). The RTO showed better solutions than REC for both periods. However, the gap between RTO and REC was larger at lower hydrogen demands, due to better usage of hydrogen purification membranes by the RTO than operators. Additionally, other important information for operators was provided by the RTO, such as optimal HC loads, least gas purges and optimal hydrogen production. Hence, the application of the RTO for aiding operators’ decisions was successfully validated. Nonetheless, some challenging limitations appeared and are discussed. This is the case of: a more sensible account of low purity header lower bound, and incorporation of Lagrange multipliers to the analysis. These improvements may lead future work on the subject.
机译:本文研究了炼油厂氢网络的实时优化器(RTO)的验证过程。该分析侧重于运营商决策支持的RTO效用,由于工艺和设备的不确定性,例如实际的氢需求和碳氢化合物(HC)负载。验证基础对短册关键网络变量分析,比较实际和解(REC)和RTO数据。该方法适用于:高氢需求场景(第1期)和低氢需求场景(时期2)。 RTO在两个时期都显示出比REC更好的解决方案。然而,由于RTO通过氢净化膜更好地使用氢净化膜,RTO和RTO与RTO之间的间隙较大。此外,RTO提供了操作员的其他重要信息,例如最佳HC负载,最小气体净化和最佳氢气产生。因此,RTO将成功验证了助攻运营商决策的应用。尽管如此,出现了一些挑战的局限性并进行了讨论。这是如下:更明智的低纯度标题下限,并将拉格朗日乘数的结合到分析。这些改进可能导致未来的主题工作。

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