Modelling, simulation and sensitivity analysis of naphtha catalytic reforming reactions

Yusuf, Aminu Zakari; John, Yakubu Mandafiya; Aderemi, B.O.; Patel, Raj; Mujtaba, Iqbal M.

doi:10.1016/j.compchemeng.2019.106531

Cited by 14 publications

(10 citation statements)

References 8 publications

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“…To meet the requirements of real-time optimization, the reactor model is simplified to a one-dimensional radial model since the rate of coke deposition on the catalyst is relatively slow within the hydrogen environment and the two-dimensional model of the reactor will distinctly increase the burden of simulation calculation. 27,30 When establishing the EO model of the reaction module, it is necessary to simulate each radial reactor and determine the connections between the reactors. 31 The catalyst flows axially in each reactor by gravity, while the reactants flow radially in the radius direction.…”

Section: Module Detailsmentioning

confidence: 99%

“…Under normal reforming reaction operating conditions, the variation of concentration and temperature mainly happens in the radial direction, and there is little variation in the axial direction. To meet the requirements of real-time optimization, the reactor model is simplified to a one-dimensional radial model since the rate of coke deposition on the catalyst is relatively slow within the hydrogen environment and the two-dimensional model of the reactor will distinctly increase the burden of simulation calculation. , When establishing the EO model of the reaction module, it is necessary to simulate each radial reactor and determine the connections between the reactors …”

Section: Module Detailsmentioning

confidence: 99%

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Optimization of the Countercurrent Continuous Reforming Process Based on Equation-Oriented Modeling and the SQP Algorithm

Jiang

Sun

et al. 2022

ACS Omega

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Catalytic reforming is a key technology in the petroleum refining and petrochemical industry. In recent years, countercurrent continuous reforming has put forward and practiced the new concept of matching the activity of the catalyst with the difficulty of the reaction. Based on the equation-oriented method, the steady-state model for the reactor-regenerator section of countercurrent continuous reforming was established, including the reactor module, the regenerator module, the compressor model, the heat exchanger model, the heating furnace model, and the oil property model. The inlet and outlet of each module are connected according to the actual technological process, and the model conforms to the requirement of real-time optimization (RTO). The sequential quadratic programming (SQP) algorithm is used for calculation in this study. The model is calibrated to make the calculated value more consistent with the actual value. The model simulation showed the trend of the reforming reaction and the difference between countercurrent reforming and cocurrent reforming. Finally, the process model was optimized for different goals such as the yield of aromatics, the yield of high-octane gasoline, and the yield of C7 + aromatics. These results indicate that the established model can simulate the actual industrial process, which can meet the requirements of RTO, and obtain considerable profits for different optimization objectives.

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Section: Module Detailsmentioning

confidence: 99%

Section: Module Detailsmentioning

confidence: 99%

Optimization of the Countercurrent Continuous Reforming Process Based on Equation-Oriented Modeling and the SQP Algorithm

Jiang

Sun

et al. 2022

ACS Omega

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“…During this period, a large number of [25] complex, highly precise, and detailed mathematical models of the catalytic reforming process, simulating different naphthas with various amount of detail, have been developed. The following steps were highlighted in the study of research and work: the effect of changes in feedstock composition at the naphtha catalytic reforming unit is considered [26]; consider the parameters of the working process of coke combustion, comparing the results with industrial data [27]; conduct a comprehensive sensitivity analysis of the quality and quantity of the product [28] without taking into account the impact of changes in the composition of raw materials of the process; the influence of the design parameters of a catalytic reforming reactor, the molar flow rate on the hydrodealkylation side, the molar ratio of hydrogen to hydrocarbons, the impact of catalyst deactivation on the system performance are subjected to the research [29]; the modes of incoming and outgoing flows in reactors with thermal coupling are analyzed [30].…”

Section: Introductionmentioning

confidence: 99%

Virtual Soft Sensor of the Feedstock Composition of the Catalytic Reforming Unit

Koteleva

Tkachev

2021

Symmetry

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The paper discusses a method for obtaining a matrix of individual and group composition of a hydrotreated heavy gasoline fraction in industrial conditions based on the fractional composition obtained by the distillation method according to the ASTM D86 (the Russian analogue of such a standard is GOST 2177). A method for bounds estimation of the retention index (RI) change is considered on the basis of the symmetry of the RI change range relative to its arithmetic mean. Implementation of this method is performed by simulation of individual composition of C6–C12 feedstock of the catalytic reforming unit in the software package. For this purpose, the boiling curve of individual composition of hydrocarbon mixture is converted into the corresponding curve of fractional composition. The presented technique of creating a virtual soft sensor makes it possible to establish a correct relationship between the fractional composition and the individual hydrocarbon composition obtained according to the IFP 9301 (GOST R 52714) (Russian GOST R 52714 and international IFP 9301 standards for the determination of individual and group composition of hydrocarbon mixtures by capillary gas chromatography). The virtual soft sensor is based on chemical and mathematical principles. The application of this technique on the data of a real oil refinery is shown. Obtaining accurate data by means of a virtual soft sensor on the individual composition of feedstock will make it possible to optimize the catalytic reforming process and thus indirectly improve its environmental friendliness and enrichment efficiency.

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“…Este proceso emplea catalizadores bimetálicos de metales nobles, tales como Pt-Re o Pt-Ir, ambos soportados en γ-Al 2 O 3 . Las reacciones químicas que se llevan a cabo son: deshidrogenación, isomerización, deshidrociclización, aromatización, entre otras (Zakari-Yusuf et al, 2019). La demanda mundial de catalizadores de reformado catalítico fue de 6,000 ton/año en 2002, lo que representa un costo de € 20/kg (Martino y Boitiaux, 2002).…”

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“…Aunado a esto, el proceso HDT genera un subproducto azufrado de reacción, el H 2 S, el cual debe ser eliminado antes de entrar en otras etapas del proceso de refinación, tal es el caso del proceso de hidrogenación para incrementar el número de cetano del diésel, ya que el H 2 S desactiva fácilmente los catalizadores de hidrogenación a base de metales como el Ni y metales nobles, Pt y Pd (Song, 1999;Song y Schmitz, 1997). c) Los catalizadores empleados en el proceso de reformado catalítico son desactivados por la deposición de coque sobre la superficie del catalizador (Zakari Yusuf et al, 2019).…”

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Mecanismos de desactivación de catalizadores heterogéneos

Romero

Sarabia-Bañuelos

Hernández-González

et al. 2020

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La desactivación catalítica es un problema serio en las diferentes secciones del proceso de refinación del petróleo, que causa la pérdida de actividad catalítica con respecto al tiempo de operación. La presente revisión está enfocada en los mecanismos de desactivación de catalizadores, tales como envenenamiento, ensuciamiento, degradación térmica y sinterización, degradación química y fallas mecánicas como el desgaste y el aplastado del catalizador, en el craqueo catalítico fluidizado (FCC), la hidrodesulfuración (HDS) y el reformado catalítico. Las causas de estos mecanismos de desactivación catalítica son químicos, térmicos y mecánicos. Se revisan las características y consideraciones clave para cada uno de estos tipos de mecanismos de desactivación. Además, el costo total por la desactivación catalítica aumenta gradualmente cada año debido al remplazo del catalizador gastado, generando miles de toneladas de desechos industriales.

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Modelling, simulation and sensitivity analysis of naphtha catalytic reforming reactions

Cited by 14 publications

References 8 publications

Optimization of the Countercurrent Continuous Reforming Process Based on Equation-Oriented Modeling and the SQP Algorithm

Optimization of the Countercurrent Continuous Reforming Process Based on Equation-Oriented Modeling and the SQP Algorithm

Virtual Soft Sensor of the Feedstock Composition of the Catalytic Reforming Unit

Mecanismos de desactivación de catalizadores heterogéneos

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