Mathematical Modeling of the Process of Catalytic Hydrodewaxing of Atmospheric Gasoil Considering the Interconnection of the Technological Scheme Devices

Belinskaya, Nataliya; Иванчина, Э. Д.; Ivashkina, Elena; Chuzlov, V.A.; Фалеев, Сергей Александрович

doi:10.1016/j.proeng.2015.07.292

Cited by 8 publications

(7 citation statements)

References 20 publications

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“…According to characterized methodology [4][5][6][7][8][9][10][11][12][13][14][15] the construction of mathematical model of complicated chemicalengineering process consist in sequential implementation of following stages: conducting of thermodynamic analysis, estimation of kinetic parameters of thermodynamically possible reactions, construction of reactor model and chemical-engineering system at all.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Optimal Process Flow Diagrams of Light Naphtha Isomerization Process by Mathematic Modelling Method

Chuzlov

Molotov²

2016

MATEC Web Conf.

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Abstract. An approach to simulation of hydrocarbons refining processes catalytic reactors. The kinetic and thermodynamic research of light naphtha isomerization process was conducted. The kinetic parameters of hydrocarbon feedstock chemical conversion on different types of platinumcontent catalysts was established. The estimation of efficiency of including different types of isomerization technologies in oil refinery flow diagram was performed.

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Section: Methodsmentioning

confidence: 99%

Analysis of Optimal Process Flow Diagrams of Light Naphtha Isomerization Process by Mathematic Modelling Method

Chuzlov

Molotov²

2016

MATEC Web Conf.

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“…where z is the volume of the refined feedstock from the moment of fresh catalyst loading, m 3 ; G is the feed flow rate, m 3 /h; z = G•t (t is catalyst operating time from the moment of fresh catalyst loading, h); C i is the concentration of i-component, mole/l; V is a catalyst bed volume, m 3 ; a j is a catalyst activity in j th reaction; ρ is mixture density, kg/m 3 ; С р m is specific heat capacity of the mixture, J/(kg*K); Q j is heat effect of j th reaction, J/mole; T is a temperature, K; W j is a j th reaction rate, mole/(l*s); m is number of reactions. This model takes into account catalyst deactivation.…”

Section: Methodsmentioning

confidence: 99%

“…The stable hydrogenate subsequently flows to the rectification section, where it is fractionated into products [3]. Hydrogen-containing gas Fig.…”

Section: Introductionmentioning

confidence: 99%

Development of the Mathematical Model of Diesel Fuel Catalytic Dewaxing Process Taking into Account Factors of Nonstationarity

2016

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Abstract. The paper describes the results of mathematical modelling of diesel fuel catalytic dewaxing process, performed taking into account the factors of process nonstationarity driven by changes in process technological parameters, feedstock composition and catalyst deactivation. The error of hydrocarbon contents calculation via the use of the developed model does not exceed 1.6 wt.%. This makes it possible to apply the model for solution to optimization and forecasting problems occurred in catalytic systems under industrial conditions. It was shown through the model calculation that temperature in the dewaxing reactor without catalyst deactivation is lower by 19 o C than actual and catalyst deactivation degree accounts for 32 %.

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“…Modeling of catalytic naphtha reforming process is a very complex task because of a number of the features such as catalyst bimetallic nature, feedstock composition complexity, a large number of reactions with different rates and deactivation processes occurring during the catalyst operation. Therefore, a model should consider both the catalyst bimetallic nature and the complexity of the feedstock composition as in a real technological process [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling and optimization of semi-regenerative catalytic reforming of naphtha

Иванчина¹,

Chernyakova²,

Pchelintseva³

et al. 2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Catalytic naphtha reforming is extensively applied in petroleum refineries and petrochemical industries to convert low-octane naphtha into high-octane gasoline. Besides, this process is an important source of hydrogen and aromatics obtained as side products. The bifunctional Pt-catalysts for reforming are deactivated by coke formation during an industrial operation. This results to a reduction in the yield and octane number. In this paper modeling and optimization of a semi-egenerative catalytic reforming of naphtha is carried out considering catalyst deactivation and a complex multicomponent composition of a hydrocarbon mixture. The mathematical model of semi-egenerative catalytic reforming considering coke formation process was proposed. The operating parameters (yield, octane number, activity) for different catalysts were predicted and optimized. It was found that a decrease in the pressure range from 1.5 to 1.2 MPa at the temperature 478–481 °C and feedstock space velocity equal to 1.4–1 h induces an increase in the yield for 1–2 wt.% due to an increase in the aromatization reactions rate and a decrease in the hydrocracking reactions rate depending on the feedstock composition and catalyst type. It is shown that the decrease in pressure is limited by the requirements for the catalyst stability due to the increase in the coke formation rate. The criterion of optimality is the yield, expressed in octanes per tons.

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Mathematical Modeling of the Process of Catalytic Hydrodewaxing of Atmospheric Gasoil Considering the Interconnection of the Technological Scheme Devices

Cited by 8 publications

References 20 publications

Analysis of Optimal Process Flow Diagrams of Light Naphtha Isomerization Process by Mathematic Modelling Method

Analysis of Optimal Process Flow Diagrams of Light Naphtha Isomerization Process by Mathematic Modelling Method

Development of the Mathematical Model of Diesel Fuel Catalytic Dewaxing Process Taking into Account Factors of Nonstationarity

Mathematical modeling and optimization of semi-regenerative catalytic reforming of naphtha

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