Pishnamazi Mahboubeh, Taghvaie Nakhjiri Ali, Rezakazemi Mashallah, Marjani Azam, Shirazian Saeed
Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.
The Faculty of Pharmacy, Duy Tan University, Da Nang, Vietnam.
PLoS One. 2020 Nov 20;15(11):e0242343. doi: 10.1371/journal.pone.0242343. eCollection 2020.
Naphtha catalytic reforming (NCR) process has been of tremendous attention all over the world owing to the significant requirement for high-quality gasoline. Industrialized naphtha reforming unit at oil refineries applies a series of fixed bed reactors (FBRs) to improve the quality of the low-octane hydrocarbons and convert them to more valuable products. The prominent purpose of this research is to understand the catalytic reactor of naphtha reforming unit. For this aim, an appropriate mechanistic modeling and its related CFD-based computational simulation is presented to predict the behavior of the system when the reactors are of the axial flow type. Also, the triangular meshing technique (TMT) is performed in this paper due to its brilliant ability to analyze the results of model's predictions along with improving the computational accuracy. Additionally, mesh independence analysis is done to find the optimum number of meshes needed for reaching the results convergence. Moreover, suitable kinetic and thermodynamic equations are derived based on Smith model to describe the NCR process. The results proved that the proceeding of NCR process inside the reactor significantly increased the concentration amount of aromatic materials, lighter ends and hydrogen, while deteriorated the concentration amount of naphthene and paraffin. Moreover, the pressure drop along the reactor length was achieved very low, which can be considered as one of the momentous advantages of NCR process.
由于对高质量汽油的巨大需求,石脑油催化重整(NCR)工艺在全球范围内备受关注。炼油厂的工业化石脑油重整装置采用一系列固定床反应器(FBR)来提高低辛烷值烃类的质量,并将其转化为更有价值的产品。本研究的突出目的是了解石脑油重整装置的催化反应器。为此,提出了一种合适的机理模型及其基于计算流体力学(CFD)的计算模拟,以预测轴向流型反应器时系统的行为。此外,本文采用了三角形网格技术(TMT),因为它在分析模型预测结果以及提高计算精度方面具有出色的能力。此外,还进行了网格独立性分析,以找到达到结果收敛所需的最佳网格数量。此外,基于史密斯模型推导了合适的动力学和热力学方程来描述NCR过程。结果表明,反应器内NCR过程的进行显著提高了芳烃、轻质馏分和氢气的浓度,同时降低了环烷烃和石蜡的浓度。此外,沿反应器长度的压降非常低,这可被视为NCR工艺的重要优势之一。