Modeling of a three-phase reactor for bitumen-derived gas oil hydrotreating

Chacón, Ronald; Canale, Angelo; Bouza, Alexis; Sánchez, Yamilet Ehrenzweig

doi:10.1590/s0104-66322012000100015

Cited by 12 publications

(31 citation statements)

References 18 publications

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“…This is one of the most important processes in crude oil refining, because it allows reducing the emission of SO x and NO x , which are synthesized by fuel combustion. These emissions are strong environmental contaminants; in addition, they can prejudice the performance of the catalysts used in refining processes, as well as the catalysts used in catalytic converters of vehicles [12].…”

Section: Hds Process and Hds Reactormentioning

confidence: 99%

“…It is important to note that due to capillarity forces, the micropores are completely filled [12], consequently the fluid inside of catalyst's pores is stagnant, there are no convective contributions to the mass and energy transport, and there is no need for a momentum balance equation. Therefore, the mass and energy transport models are reduced to Eqs.…”

Section: Heterogeneous Mass and Energy Transport Modelmentioning

confidence: 99%

“…Reaction follows a kinetic expression of type of Langmuir-Hinshelwood/Hougen-Watson [12], described by the following expression.…”

Section: R-s Liqmentioning

confidence: 99%

“…To validate the hydrodynamics, the geometrical characteristics of the bed, as the column and catalyst dimensions and bed porosity, were adapted to be similar to the experimental setup of Al-Dahhan and co-worker [25]. For the kinetic behavior, the reactor geometrical model was adapted to have similar characteristics than reactor described in the theoretical work of Chacón and co-workers [12]. The model exhibits 5.12% difference in the prediction of the sulfurized conversion at 7 mm length (length of the reactor model discussed in this chapter).…”

Section: Validation Of the Reactor Modelmentioning

confidence: 99%

See 3 more Smart Citations

CFD Modelling of Coupled Multiphysics-Multiscale Engineering Cases

Cordero¹,

Uribe²,

Zárate³

et al. 2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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Many of the engineering problems have multiphysics and multiscale nature. Non-isothermal flows, stirred reactors, turbulent mixing and membrane filtration, are prevalent cases in which the coupling of several physics phenomena is required for the adequate prediction of overall behaviors. Also, a multiscale analysis, where the same phenomenon is analyzed at different scales, can lead to better understanding of the phenomena, which can be used in optimization and to provide adequate scale-up methodologies. Studies incorporating both multiscale and multiphysics analysis are rarely addressed in literature; in fact, these kinds of problems will be the research challenge in the next years. Computer fluid dynamics (CFD) techniques have shown to be promising to deal with these kinds of systems. In this chapter, these are used to implement a multiscale analysis of the hydrodesulphurization (HDS) process for light gas-oil (LGO). The aforementioned is carried out by the analysis of mass an energy transport at: (1) microporous (MP) scale, (2) pseudo-homogeneous catalyst (PHC) scale, and by analysis of (3) momentum and mass transport at reactor scale (RS). In addition, a particular discussion is made regarding the proper establishment of the model, its validation, the use of different boundary conditions, its justification; and the dependence of solutions of parameters and initial and boundary conditions.

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Section: Hds Process and Hds Reactormentioning

confidence: 99%

Section: Heterogeneous Mass and Energy Transport Modelmentioning

confidence: 99%

“…Reaction follows a kinetic expression of type of Langmuir-Hinshelwood/Hougen-Watson [12], described by the following expression.…”

Section: R-s Liqmentioning

confidence: 99%

Section: Validation Of the Reactor Modelmentioning

confidence: 99%

See 2 more Smart Citations

CFD Modelling of Coupled Multiphysics-Multiscale Engineering Cases

Cordero¹,

Uribe²,

Zárate³

et al. 2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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“…As equações de balanço de massa para o hidrocarboneto não foram consideradas, pois a concentração desse não muda significativamente durante a reação de HDS [21].…”

Section: Modelo Do Reatorunclassified

Estudo do desempenho de reator de leito gotejante aplicado ao processo de hidrodessulfurização do petróleo

Souza

Santana

2016

Scientia Plena

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Um modelo de reator heterogêneo unidimensional em regime transiente foi desenvolvido para simular um reator de leito gotejante aplicado à hidrodessulfurização de petróleo. O modelo incorpora a resistência à transferência de massa nas interfaces gás-líquido e líquido-sólido e uma expressão da taxa da reação baseada no modelo cinético do tipo Langmuir-Hinshelwood. Mediante estimativa de parâmetros, o modelo foi ajustado com base em dados experimentais de um reator em escala piloto e, então, validado sob diferentes condições de operação. Por fim, estudou-se tanto o efeito de inibição de H2S como também o efeito das condições operacionais sobre a conversão de HDS, tais como: pressão, temperatura, velocidade espacial horária líquida (LHSV).

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CFD analysis of bed textural characteristics on TBR behaviour: Kinetics, scaling‐up, multiscale analysis, and wall effects

Uribe¹,

Cordero²,

Zárate³

et al. 2018

Can J Chem Eng

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A simulation of a trickle bed reactor aided by computational fluid dynamics was implemented. With a Eulerian approach, geometrical characteristics were explicitly considered and two simultaneous heterogeneous reactions were included, hydrodesulphurization (HDS) and hydrodenitrogenation (HDN). This was performed in order to achieve the following: (1) attain further insight into a proper scaling‐up procedure to be able to obtain the same hydrodynamics and kinetics behaviour in two reactors of different length and diameter scales; (2) develop a multiscale analysis regarding the communication of information between scales through the construction of a porous microstructure model from which the geometrical information of the microscale is captured by the effective transport coefficients (which affect the overall reactor behaviour); (3) investigate the effect of operation condition variations on hydrodynamics and kinetics; and (4) assess the deviations and further differences observed from average to punctual conversion values and the assumptions from kinetic literature models through a preliminary multiscale analysis. The CFD results were validated against experimental pressure drop data as well as HDS and HDN conversion theoretical data. An excellent agreement was found. The model produces a significant improvement in hydrodynamic parameter prediction, achieving 5 times better accuracy in predicting pressure drops and 50 % improvement in holdup prediction. The fully coupled model predicts HDS conversion with 96 % accuracy and HDN conversion with 94 % accuracy. Results suggest that the best way to obtain similar kinetic and hydrodynamic behaviour in TBRs with different lengths and diameter length scales is by equaling the liquid holdup true(ϵγtrue) or the mass velocities (L‐G).

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Modeling of a three-phase reactor for bitumen-derived gas oil hydrotreating

Cited by 12 publications

References 18 publications

CFD Modelling of Coupled Multiphysics-Multiscale Engineering Cases

CFD Modelling of Coupled Multiphysics-Multiscale Engineering Cases

Estudo do desempenho de reator de leito gotejante aplicado ao processo de hidrodessulfurização do petróleo

CFD analysis of bed textural characteristics on TBR behaviour: Kinetics, scaling‐up, multiscale analysis, and wall effects

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