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MOLECULAR MODELING FOR HYDROGENATION OF LIGHT CYCLE OIL

机译:光循环油氢化的分子模型

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Modeling in petroleum refining has been focused on lumps of components so far. In recent years, however, advancements in analytical chemistry, computational hardware and software tend to enable a molecular-level modeling approach of tracking each molecule throughout reaction process in petroleum refining industries. In this study, we applied JKMT (Kinetic Modular’s Toolbox, JPEC 2011), a molecular modeling technology, for hydrogenation of light cycle oil(LCO) by using bulk properties of LCO. JKMT is originated from KMT technology developed by Klein and co- workers and contains three conceptual modules, CME, INGen and KME. We studied an integration of these modules for molecular modeling of hydrogenation of LCO.
机译:到目前为止,石油炼油建模一直专注于组件的块。然而,近年来,分析化学,计算硬件和软件的进步倾向于使得在石油炼油行业的反应过程中跟踪每个分子的分子水平模拟方法。在本研究中,我们使用LCO的堆积性能应用JKMT(动力学模块化的工具箱,JPEC 2011),分子建模技术,用于光循环油(LCO)的氢化。 jkmt是由Klein和Confors开发的KMT技术,并包含三个概念模块,CME,Ingen和Kme。我们研究了这些模块的集成,用于LCO的氢化的分子建模。

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