Modeling and simulation of a pseudo-two-phase gas-liquid column reactor for thermal hydrocracking of petroleum heavy fractions

Matos, E.M.; Guirardello, Reginaldo

doi:10.1590/s0104-66322002000300007

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…Therefore, the dispersion coefficient could be expressed by where μ f is the sum of turbulent and laminar viscosity. This consideration was applied successfully by Matos and Guirardello, Matos et al, in a CFD model for petroleum hydrotreating.…”

Section: Estimation Of Model Parametersmentioning

confidence: 99%

“…Matos and Guirardello 47 presented an isothermal CFD model which includes momentum equations, based on the kinetic network of six lumps presented by Krishna and Saxena 48 for thermal hydrocracking reactions. The lumps are heavy and light aromatics, naphtenes, and paraffins.…”

Section: Energy and Fuelsmentioning

confidence: 99%

“…Matos and Nunhez 43 presented a fluid dynamic model based on the same considerations as those in Matos and Guirardello 47 using the same kinetic model of Krishna and Saxena, 48 but in this case the work is focused on how the feed input affects the flow fields and the reactor conversion. Although unsupported by experimental data, their theoretical results show that the fluid dynamic fields inside the bubble column reactor do not affect considerably the reactor conversion.…”

Section: Energy and Fuelsmentioning

confidence: 99%

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Modeling of Slurry-Phase Reactors for Hydrocracking of Heavy Oils

Calderón

Ancheyta

2016

Energy Fuels

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The modeling of slurry-phase reactors for petroleum hydrocracking has been reviewed and analyzed. A general description of the flow regime was proposed, and it is anticipated that due to the operating conditions usually implemented in hydrocracking of heavy oils, the homogeneous bubble flow is usually considered. It was also found in the literature that most of the models are only able to describe the liquid-phase behavior, omitting the dynamic behavior of the gas phase, the dispersion, and deactivation of catalysts, as well as coke formation. Computational fluid dynamics formulations are preferred despite the computational effort involved in the calculations. Also in the majority of those models, simple pseudocomponent kinetic rate expressions have been applied, without enough experimental information referring to kinetic parameters. Finally a generalized reactor model, which considers all mass and heat transfer phenomena, is proposed based on the literature, and details are provided to estimate all of the model parameters. For slurry-phase hydrocracking systems it becomes evident the lack of experimental information needed for validation and the necessity of exploring different types of models, as axial dispersion models under different bubble flow regimes as well as deep study of the transitory state.

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Section: Estimation Of Model Parametersmentioning

confidence: 99%

Section: Energy and Fuelsmentioning

confidence: 99%

Section: Energy and Fuelsmentioning

confidence: 99%

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Modeling of Slurry-Phase Reactors for Hydrocracking of Heavy Oils

Calderón

Ancheyta

2016

Energy Fuels

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“…Various reviews have been reported on hydrocracking technology in the literature. Different aspects of hydrocracking have been discussed, such as types of hydrocracking, process optimization, catalysis, catalyst acidity, pore diffusion, catalyst poisons and reactor type (Ramakanta et al, 2015;Angeles et al, 2014;Ahmed et al, 2013;Valavarasu et al, 2003;Qader and Hill, 1969;Sadighi and Ahmad, 2013;Matos and Guirardello 2002). These authors also emphasized that the available literature on the kinetics of hydrocracking is scarce, and that kinetic aspects and structural modeling needs to be studied in detail.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Kinetic Lumping Model Parameters to Improve Products Quality in the Hydrocracking Process

Naderi¹,

Shokri²,

Ahmadpanah³

2018

Braz. J. Chem. Eng.

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In this study a typical continuous lumping model with five parameters has been used for kinetic modeling of thermal and catalytic hydrocracking. Model parameters have been optimized according to experimental product distributions using a particle swarm optimization (PSO) algorithm. Experimental data from the hydrocracker setup have been employed to validate the proposed model. In this setup hydrogen and vacuum gasoil feed were introduced from the top of a vertical reactor and, after passing through a catalyst bed, the liquid and gas products were separated and analyzed. Temperature of the reactor was adjusted in the range of 440-470ºC for thermal hydrocracking, and 410-430ºC for catalytic hydrocracking. Liquid hourly space velocities (LHSV) were in the range of 0.5-1.5 feed flow rate per catalyst volume in both sets of experiments. Results of optimization showed that the parameters were only temperature dependent. The comparison between model results and experimental data indicates that the model is capable of predicting product yield with maximum errors of 0.986 and 0.041 for RMSE and AARE values, respectively.

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“…A few authors have modeled slurry reactors for hydrocracking (HDC) and hydrotreating (HDT) of oil fractions with CFD techniques. − Even though these models have shown good results, they are focused on fluid dynamics and on the behavior of hydrodynamic variables; therefore despite being formulated in steady state, they are not capable of simulating and predicting detailed changes in product yields, product properties, mass and energy balances, etc. On the other hand, axial dispersion models (ADM) are the most common ones used in the literature dealing with SPR .…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Simulation of a Slurry-Phase Reactor for Hydrotreating of Oil Fractions

Calderón

Ancheyta

2017

Energy Fuels

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The dynamic modeling and simulation of a slurry-phase reactor for catalytic hydrotreating of oil fractions obtained from heavy crude oil at 613 K and 5.3 MPa are reported. Compared with previous models, the proposed model incorporates the calculation of Henry constants for the volatile components through a state equation and the variation in superficial gas velocity regarding the G–L mass transfer. The mathematical model is based on the axial dispersion of gas and slurry phases and, therefore, allows approximation of the behavior of the slurry-phase system in a practical way. In order to model the hydrotreating process, different reactions are included such as hydrodesulfurization, hydrodenitrogenation, hydrodearomatization, olefins hydrogenation, and hydrocracking. Kinetic parameters and correlations for hydrodynamic and thermodynamic properties were taken from the literature. The effect of catalyst concentration, temperature, and the variation in gas phase velocity on impurities conversion is analyzed and discussed. Through the simulations, it is pointed out that under some considerations the full axial dispersion model can be simplified through ideal flow models, known as the plug-flow reactor model for the gas phase and stirred tank reactor model for the slurry phase. The need for generating experimental information in order to validate the correlations and the mathematical model is recognized.

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Modeling and simulation of a pseudo-two-phase gas-liquid column reactor for thermal hydrocracking of petroleum heavy fractions

Cited by 7 publications

References 10 publications

Modeling of Slurry-Phase Reactors for Hydrocracking of Heavy Oils

Modeling of Slurry-Phase Reactors for Hydrocracking of Heavy Oils

Optimization of Kinetic Lumping Model Parameters to Improve Products Quality in the Hydrocracking Process

Dynamic Modeling and Simulation of a Slurry-Phase Reactor for Hydrotreating of Oil Fractions

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