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PMID: 33216768 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Mechanistic modeling and numerical simulation of axial flow catalytic reactor for naphtha reforming unit.

PloS one ·Vol. 15 ·No. 11 ·2020-00-00 ·Pages e0242343

Pishnamazi M, Taghvaie Nakhjiri A, Rezakazemi M, Marjani A, Shirazian S

Abstract

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.

MeSH 主题词
Alkanes/chemistry Catalysis Computer Simulation Gasoline Models, Theoretical Oil and Gas Industry Paraffin/chemistry Pressure Temperature Thermodynamics
化学物质
Alkanes Gasoline Paraffin naphtha
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Pishnamazi Mahboubeh
Institute of Research and Development, Duy Tan University, Da Nang, Vietnam. | The Faculty of Pharmacy, Duy Tan University, Da Nang, Vietnam.
Taghvaie Nakhjiri Ali ORCID
Department of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Rezakazemi Mashallah
Faculty of Chemical and Materials Engineering, Shahrood University of Technology, Shahrood, Iran.
Marjani Azam
Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam. | Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Shirazian Saeed
Laboratory of Computational Modeling of Drugs, South Ural State University, Chelyabinsk, Russia.
Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
Published
2020-00-00
Epub
2020-00-20
Pages
e0242343
Language
English
Country/Region
United States
NLM ID
101285081
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