CFD modeling on external mass transfer and intra-particle diffusional effects on the supercritical hydrogenation of sunflower oil

Guardo, Alfredo; Casanovas, Miquel Martí; Ramírez, Eliana; Recasens, F.; Magaña, I.; Martínez, David Pérez; Larrayoz, M.A.

doi:10.1016/j.ces.2007.01.080

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…Analogous mass transfer work was further done modelling the extraction of toluene from particle surface at supercritical conditions, having good agreement with a proposed correlation [22]. This group also studied mass transfer and intra-particle diffusional effects in supercritical hydrogenation in packed bed reactors [23]. Augier et al [13] used CFD to investigate particle-to-fluid heat and mass transfer inside a packed bed of spheres.…”

Section: Introductionmentioning

confidence: 82%

CFD study of the supercritical transesterification of triolein: Wall-to-fluid/particle-to fluid transport effects

Mekala

Fontanals

Guardo

2019

The Journal of Supercritical Fluids

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Section: Introductionmentioning

confidence: 82%

CFD study of the supercritical transesterification of triolein: Wall-to-fluid/particle-to fluid transport effects

Mekala

Fontanals

Guardo

2019

The Journal of Supercritical Fluids

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“…Several HDO studies have been carried out with CFD simulation, a work carried out CFD simulations on the effect of catalysts (Pt/Al2O3, Ni-Mo/Al 2 O 3 , Co-Mo/Al 2 O 3 ) on the hydrodeoxygenation process of bio-oils, Gollakota et al (2015). Other work focused on CFD modeling on external mass transfer and intraparticle diffusion effects in supercritical hydrogenation of sunflower oil, Guardo et al (2007).…”

Section: Introductionmentioning

confidence: 99%

CFD Modeling and Simulation of a Countercurrent Reactor of Hidrotreatment Process With Jatropha Curcas L. Vegetable Oil

Vizguerra Morales,

Mederos Nieto

2024

Int. J. Eng. Sci. Tech

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In this work, a microscale countercurrent reactor was analyzed and simulated in CFD, and the results were compared with a drained bed reactor (TBR) which is held in the CMP+L research center. The importance of this study is to find the mathematical model of the countercurrent reactor to produce clean fuels from Jatropha Curcas L. vegetable oil and in the future scale it to an industrial level. For the hydrotreatment process, a commercial CoMo/γ-Al2O3 catalyst was used, and Jatropha Curcas L vegetable oil was used as raw material. The operating conditions that were considered for the CFD simulation were temperature 380 °C, pressure 8 MPag, LHSV 8.0 h−1. The reactor model considers a reaction mechanism 13 hydrocracking reactions of triglycerides towards renewable fuels. The CFD simulation was carried out in Fluent 18.2 in a transient state and in 3 dimensions, considering the standard k-ϵ turbulence model, the Eulerian multiphase model and the porous medium model, obtaining results very similar to the experimental ones, with a conversion of triglycerides of 0.996% and the retention time of the liquid temperature was 169 seconds and in the simulation is 200 seconds, the molar concentration profiles of the products were obtained whereby this model can be applied to the industrial scale.

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“…The authors have not identified any published works on the modeling of the MTO process with intraparticle transfer phenomena taken into account. On the other hand, a number of single particle models have been reported for the gas–solid catalytic reactions. ,− Because the intraparticle transport is the molecular mass diffusion or molecular species transport involving the random and individual movements in nature, as described in Figure , these models are generally based on molecular diffusion models . There are four typical molecular diffusion models, namely, the Fick or Wilke model, the Maxwell–Stefan model, the dusty gas model, , and the Wilke–Bosanquet model .…”

Section: Introductionmentioning

confidence: 99%

Intraparticle Mass and Heat Transfer Modeling of Methanol to Olefins Process on SAPO-34: A Single Particle Model

Chen

Xiao

Zhu

et al. 2013

Ind. Eng. Chem. Res.

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Light olefins such as ethylene and propylene are high value-added gases usually derived from petroleum refining. The methanol to olefins (MTO) process offers an attractive alternative route to produce olefins, as methanol can be prepared from a relatively cheap and widely available source of energy, i.e., coal or natural gas. In the present work, a comprehensive single particle model was developed to characterize detailed chemical and physical phenomena occurring within a SAPO-34 catalyst particle during the MTO process. This model allows prediction of the species mass fraction, temperature, reaction rate, and pressure distributions within the particle as a function of particle diameter, operating temperature, mean intraparticle pore diameter, and thermal conductivity. A thorough parametric study based on the validated model demonstrated that intraparticle phenomena have a great impact on the MTO process and thus cannot be neglected in MTO process modeling, especially for the cases where fast or strong exothermal reactions occurred in large catalytic particles.

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CFD modeling on external mass transfer and intra-particle diffusional effects on the supercritical hydrogenation of sunflower oil

Cited by 9 publications

References 20 publications

CFD study of the supercritical transesterification of triolein: Wall-to-fluid/particle-to fluid transport effects

CFD study of the supercritical transesterification of triolein: Wall-to-fluid/particle-to fluid transport effects

CFD Modeling and Simulation of a Countercurrent Reactor of Hidrotreatment Process With Jatropha Curcas L. Vegetable Oil

Intraparticle Mass and Heat Transfer Modeling of Methanol to Olefins Process on SAPO-34: A Single Particle Model

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