Molecular Kinetic Modeling of Catalytic Naphtha Reforming: A Review of Complexities and Solutions

S. A. Ali, Ali H. Alshareef, Rajesh Theravalappil, H. Alasiri, Mohammad M. Hossain
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引用次数: 4

Abstract

ABSTRACT Kinetic modeling is receiving more attention in recent years due to the availability of advanced computational tools and enhancement in the accuracy of analytical techniques. These advances facilitate investigation of the chemical transformations on a molecular level rather than on the bulk properties, such as density, distillation cuts, or octane number. Molecular kinetic modeling of catalytic naphtha reforming is of particular interest as it processes light petroleum fraction that enable full molecular-level analysis. Moreover, the process is an important source of valuable chemicals, hydrogen, and high-octane transportation fuel. Over the years, the goal of the kinetic modeling has evolved from predicting the octane number or other properties of reformate to tracking a particular molecule, such as benzene. Several kinetic models are published in the last decade – each of them strived to adopt somewhat different approach either in the complexity of proposed reaction network or in the methodology of estimating the kinetic parameters. The approaches that have been considered in formulating the rate expressions include: (i) classical power-law model; (ii) models based on Langmuir-Hinshelwood–Hougen–Watson kinetics; (iii) structure-oriented kinetics approach; and (iv) single-event fundamental model. The review presents a systematic comparison of these kinetic models in depth as well as their limitations. An appraisal of the mathematical methods for estimation of kinetic parameters and the computational tools employed for determination of the numerical values of these parameters is made. Finally, the current trends and outlook of this field is presented.
催化石脑油重整的分子动力学建模:复杂性及其解决方案综述
近年来,由于先进的计算工具的可用性和分析技术准确性的提高,动力学建模受到越来越多的关注。这些进步有助于在分子水平上研究化学转化,而不是在体积性质上,如密度、蒸馏切割或辛烷值。催化石脑油重整的分子动力学建模是特别感兴趣的,因为它处理轻石油馏分,使全分子水平的分析。此外,该过程是有价值的化学品、氢和高辛烷值运输燃料的重要来源。多年来,动力学建模的目标已经从预测重整物的辛烷值或其他性质发展到跟踪特定的分子,如苯。在过去的十年中发表了几个动力学模型,每个模型都试图采用不同的方法,无论是在提出的反应网络的复杂性还是在估计动力学参数的方法上。在表述速率表达式时考虑的方法包括:(i)经典幂律模型;(ii)基于Langmuir-Hinshelwood-Hougen-Watson动力学模型;(iii)结构导向动力学方法;(四)单事件基本模型。本文对这些动力学模型进行了系统的比较,并对它们的局限性进行了比较。评价了估计动力学参数的数学方法和用于确定这些参数数值的计算工具。最后,对该领域的发展趋势和前景进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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