A mixing cell network (MCN) was developed for the commercial diesel hydrodesulphurization process (DHDS) in a trickle bed reactor (TBR). The two-phase model is developed to simulate the performance of an industrial DHDS unit. Major hydrotreating reactions such as hydrodesulphurization (HDS), hydrodearomatization (HDA), and olefin saturation were accounted for in the developed model. The MCN model predictions on axial concentration profiles of sulphur, polynuclear aromatics (PNAs), monoaromatics (MAs), and temperature were found to be in agreement with the real-time plant data. Further, the predicted results were also compared with the plug flow model to confirm model adequacy. The results obtained in this paper show the efficacy of the MCN model in simulating multiple reactions happening in real industrial scenarios.

中文翻译：

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使用混合单元网络方法模拟工业滴流床反应器中的加氢脱硫

为滴流床反应器 (TBR) 中的商用柴油加氢脱硫工艺 (DHDS) 开发了混合池网络 (MCN)。开发了两相模型来模拟工业 DHDS 装置的性能。在开发的模型中考虑了主要的加氢处理反应，例如加氢脱硫 (HDS)、加氢脱芳构化 (HDA) 和烯烃饱和。发现 MCN 模型对硫、多环芳烃 (PNA)、单芳烃 (MA) 和温度的轴向浓度分布的预测与实时工厂数据一致。此外，还将预测结果与活塞流模型进行比较，以确认模型的充分性。本文获得的结果显示了 MCN 模型在模拟实际工业场景中发生的多种反应方面的功效。