A three-dimensional two-phase flow model with phase change inside a tube of petrochemical pre-heaters

Fontoura, Diener Volpin Ribeiro; Matos, E.M.; Nunhez, José Roberto

doi:10.1016/j.fuel.2012.09.065

Cited by 19 publications

(18 citation statements)

References 16 publications

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“…Reynolds Stress Model is a higherlevel turbulence model which is considered for predicting the complex interactions in the turbulence flow fields. The most common turbulence model considered in the field of crude oil fouling is k-ɛ model [13,[24][25][26][27][28], which assumes that the turbulence is isotropic and requires less computational time for simulation.…”

Section: Continuity Equationmentioning

confidence: 99%

“…Asphaltenes constituents are categorized as the most polar and highest molecular weight fraction of petroleum [26,33] and are considered as the heaviest component in the crude oil [34]. Asphaltenes tend to precipitate and deposit on heat transfer surfaces [35] under changes in pressure and temperature conditions.…”

Section: Asphaltenes Deposition Foulingmentioning

confidence: 99%

“…: (i) Volume-of-Fluid (VOF) model, (ii) mixture model, and (iii) Eulerian model. Volume-ofFluid model is desirable for the studies in which the interface between two or more immiscible fluids is of interest [26]. Mixture model is mostly considered for simulating the particle-laden flows, bubbly flow regimes, etc.…”

Section: Eulerian-eulerian Modelmentioning

confidence: 99%

“…In order to understand the fluid flow behavior and asphaltenes deposition in the system, one of the Eulerian-Eulerian multiphase models can be chosen. Volume-of-Fluid multiphase model is highly used for predicting the asphaltenes deposition on the heat transfer surfaces [13,26,31]. The deposition profile of asphaltenes is predicted from the volume fraction contours.…”

Section: Eulerian-eulerian Modelmentioning

confidence: 99%

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CFD Simulations of Crude Oil Fouling on Heat Transfer Surfaces

Gounder¹,

Emani²

2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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Advancements in the computational techniques have led to the development of various numerical models and methods to predict the occurrence of crude oil fouling in heat exchangers. Computational fluid dynamics has been employed in the field of crude oil fouling research in the recent past, which led to the concept of investigating the effects of various operating conditions on deposit formations on heat transfer surfaces. Various processes associated with crude oil fouling, such as asphaltenes precipitation and chemical reactions, have been studied through CFD simulations. This chapter provides stateof-the-art review on various CFD approaches and describes the discrete-phase CFD modeling of crude oil fouling through asphaltenes deposition on heat transfer surfaces.

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Section: Continuity Equationmentioning

confidence: 99%

Section: Asphaltenes Deposition Foulingmentioning

confidence: 99%

Section: Eulerian-eulerian Modelmentioning

confidence: 99%

Section: Eulerian-eulerian Modelmentioning

confidence: 99%

See 2 more Smart Citations

CFD Simulations of Crude Oil Fouling on Heat Transfer Surfaces

Gounder¹,

Emani²

2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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“…They studied the operational conditions which might minimize coke formation due to the thermal cracking of the feed. Li et al [3] and Fontoura [4] attempted to model the thermal cracking and phase change.…”

Section: Introductionmentioning

confidence: 99%

Effect of Inlet Velocity on the Crude Oil Coking and Gas Phase Formation in a Straight Pipe

Deagu¹,

Korea²

2017

JAMP

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A comparative numerical study is conducted to evaluate the effect of inlet velocity on the gas-liquid-solid phase change, the separation of phases and the coke formation. The numerical procedure is constructed within the Eulerian framework in which the liquid phase is treated as a continuous phase while gas and solid are both considered as dispersed phases. The simplified reaction net of crude oil is used in order to predict the thermal cracking of the crude oil. The temperature distribution, flow field, liquid-gas phase separation, and coke formation are predicted and discussed for different inlet velocities. The information predicted by the CFD model can be utilized in the optimal design of industrial fired furnaces.

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Computational fluid dynamic model for the estimation of coke formation and gas generation inside petrochemical furnace pipes with the use of a kinetic net

et al. 2017

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Petrochemical furnaces are used in the petrochemical industry for the preheating of crude oil, residue, gasoil, naphtha, kerosene, and diesel through refining operations. When the fluid flows inside the furnace pipes, thermal cracking occurs. During the heating process, a generation of lighter fractions of petroleum and coke formation takes place. Coke adheres to the wall of the pipes, increasing pressure drop and internally insulating the pipes. Consequently, heat transfer is affected. In most of these processes, during heating and thermal cracking, gases are generated, forming a liquid‐gas two‐phase flow in the pipe. In this work, thermal cracking and gas generation are represented by a kinetic net which takes into account the constituent fractions of the petroleum load, which are represented by six pseudo‐components. The CFD model was able to predict the lighter petroleum fractions and the gas generation as well as the coke formation inside the tube. Coke concentration increases along the pipe as the average temperature of the mixture increases.

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A three-dimensional two-phase flow model with phase change inside a tube of petrochemical pre-heaters

Cited by 19 publications

References 16 publications

CFD Simulations of Crude Oil Fouling on Heat Transfer Surfaces

CFD Simulations of Crude Oil Fouling on Heat Transfer Surfaces

Effect of Inlet Velocity on the Crude Oil Coking and Gas Phase Formation in a Straight Pipe

Computational fluid dynamic model for the estimation of coke formation and gas generation inside petrochemical furnace pipes with the use of a kinetic net

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