Fluid dynamics and reaction assessment of diesel oil hydrotreating reactors via CFD

Silva, A.O.; Monteiro, Eliseu; Souza, Vanessa Pereira de; Ferreira, A.S.; Jaimes, R.; Fontoura, Diener Volpin Ribeiro; Nunhez, José Roberto

doi:10.1016/j.fuproc.2017.05.002

Cited by 17 publications

(15 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By this way, the aerodynamics of vehicles like GM and Ford was deeply improved based on CFD studies. Currently, the simulation to characterize and solve problems using CFD is widely used due to the existence of a greater number of researchers involved in this issue, as well as due to the existence of more powerful computers [24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

“…Some studies, such as to predict the velocity, pressure, and density profiles; concentration and distribution of the process gas species; plasma improvement by optimizing the vacuum system; design and modelling of the anodic chamber reactor; collisions process between target and substrate; effect of the turbulence in biomass combustion; vapors' behavior from materials and gases deposition, were also performed using the computational fluid dynamics (CFD) numerical simulation [29,30,[34][35][36]. The simulation tool is widely used to study and fix real problems [37], and thus, avoiding the cost of equipment stoppages [38].…”

Section: Introductionmentioning

confidence: 99%

“…The following sections will mention research works with FEM simulation, namely, the study of mechanical properties, defects and deformation material, wear and tribological performance of tools, contact between the coated PVD tool and the workpiece, PVD coating thermomechanical properties, coating fracture surface and CFD simulation, namely, process gas species into the sputtering chamber, temperature, pressure and velocity distribution optimization, fluid flow dynamics, thermal evaluation in a reactor design, evaluate, predict, improve and/or optimize processes like in biomass combustion [34,[38][39][40][41], in fuel combustion [42], in different conditions and reactors types, such as solar tubular, a continuous Photo Fuel Cell (PFC), tubular Pd-Ag membrane, industrial Claus and industrial PVD reactors, among others [24][25][26][27][28][29][30][31][32][33]. These challenges motivated researchers to improve performance of coatings, giving rise to several variants of coatings techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Silva et al [30] carried out a study on diesel hydrotreating in a laboratory scale trickle bed reactor (TBR). In this work, the CFD model was developed using a multi-phase Eulerian-Eulerian approach to study the reaction assessment and fluid dynamics.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Numerical Simulation Applied to PVD Reactors: An Overview

et al. 2018

View full text Add to dashboard Cite

The technological evolution in the last century also required an evolution of materials and coatings. Therefore, it was necessary to make mechanical components subject to heavy wear more reliable, improving their mechanical strength and durability. Surfaces can contribute decisively to extending the lifespan of mechanical components. Chemical vapor deposition (CVD) and physical vapor deposition (PVD) technologies have emerged to meet the new requirements that have enabled a remarkable improvement in the morphology, composition and structure of films as well as an improved adhesion to the substrate allowing a greater number of diversified applications. Thin films deposition using PVD coatings has been contributing to tribological improvement, protecting their surfaces from wear and corrosion, as well as enhancing their appearance. This process can be an advantage over other processes due to their excellent properties and environmental friendly behavior, which gives rise to a large number of studies in mathematical modelling and numerical simulation, like finite element method (FEM) and computational fluid dynamics (CFD). This review intends to contribute to a better PVD process knowledge, in the fluids and heat area, using CFD simulation methods focusing on the process energy efficiency improvement regarding the industrial context with the sputtering technique.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Numerical Simulation Applied to PVD Reactors: An Overview

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Recently, there have been contributions in the modelling of HDS processes with extended approaches, such as considering 3D simulations that couple the hydrodynamics with the mass transfer . In this context, it is important to highlight the work of Silva et al, who developed a 3D CFD simulation that considers simultaneous HDS and hydrodearomatization (HDA), which allows the incorporation of radial dispersion and the coupling of the hydrodynamics. However, no validation for the hydrodynamic was presented and the effects of the bed textural characteristics were incorporated through a porosity distribution expression.…”

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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).

show abstract