Modeling and simulation of a pseudo-three-phase slurry bubble column reactor applied to the process of petroleum hydrodesulfurization

Matos, E.M.; Guirardello, Reginaldo; Mori, Milton; Nunhez, José Roberto

doi:10.1016/j.compchemeng.2008.12.011

Cited by 13 publications

(10 citation statements)

References 15 publications

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“…The Reynolds-averaged Navier–Stokes (RANS) turbulence model 19 and multi-fluid model 20 were adopted to simulate the motion of the gas and the multiphase flow in the tower, respectively. For each phase, based on the conservation of mass, momentum and energy, the control equations can be derived out.…”

Section: Modeling and Methodsmentioning

confidence: 99%

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Modeling and prediction of desulfurization efficiency for magnesium-based seawater exhaust gas clean system

Liu

Zhu

Tang

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part M:

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The desulfurization efficiency is a major parameter of magnesium-based seawater exhaust gas clean system, which is one of the important means to control the sulfur dioxide emission from marine diesel engines. In this work, the RFlow, a computational fluid dynamics software, was used to analyze the flow field and sulfur dioxide absorption rate in the desulfurization tower of magnesium-based seawater exhaust gas clean system. The subdomain technology was applied for physics modeling and mesh generation of the desulfurization tower, and total number of the mesh is 2.25 million. The flow field model was set up by coupling the multi-fluid model with the dispersive k-e turbulence model. Based on flow field model, the prediction model for desulfurization efficiency of magnesium-based seawater exhaust gas clean system was programmed in user-defined module of the RFlow software, according to the two-film theory and sulfur dioxide absorption reaction equations. The simulation results predicted a desulfurization efficiency of 97.9%, which agrees well with the practical result. In order to study the effect of gas and liquid flow rate on the desulfurization efficiency, the computational fluid dynamics prediction model was applied. And the verification tests were conducted on a container vessel. Comparing the predicted results with the experimental data, the maximum error is less than 2%. It is proved that the prediction model is reliable and useful for the magnesium-based seawater exhaust gas clean system.

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Section: Modeling and Methodsmentioning

confidence: 99%

“…the relationship between C Ai , gas-liquid interfacial concentration of SO 2 and P Ai can be calculated out. By solving equations (14)- (20), and substituting the value of parameters, the mass transfer rate of SO 2 , N A , can be derived finally.…”

Section: The Mass Conservation Equationmentioning

confidence: 99%

Modeling and prediction of desulfurization efficiency for magnesium-based seawater exhaust gas clean system

Liu

Zhu

Tang

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…On the basis of using the DGD technique, various authors ,,, observed that the large gas bubbles move quickly upward through the slurry in a plug-flow manner, whereas, the small gas bubbles move slowly and are often entrained within the slurry-phase. This finding led to the development of the “two-bubble” or “bimodal” class model, which has been widely used to represent the gas bubbles in the convective and dispersive flow schemes within SBCRs , in one-dimensional (1-D) and two-dimensional (2-D) modeling of multiphase reactors. ,, …”

Section: Introductionmentioning

confidence: 99%

“…This finding led to the development of the "two-bubble" or "bimodal" class model, which has been widely used to represent the gas bubbles in the convective and dispersive flow schemes within SBCRs 31,32 in one-dimensional (1-D) and two-dimensional (2-D) modeling of multiphase reactors. 6,33,34 Critiques of the Conventional DGD Technique. It should be mentioned that despite the popularity of the bimodal class model, lumping gas bubbles into only two classes is a gross oversimplification of the complex hydrodynamics in SBCRs.…”

Section: Introductionmentioning

confidence: 99%

Novel Approach and Correlation for Bubble Size Distribution in a Slurry Bubble Column Reactor Operating in the Churn–Turbulent Flow Regime

Basha

Morsi

2018

Ind. Eng. Chem. Res.

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A novel approach to obtain bubble size distributions and Sauter mean bubble diameters (d 32 ) in three-phase slurry bubble column reactors (SBCRs) is presented. This approach is based on 720 experimental runs using the dynamic gas disengagement (DGD) technique for various gas−liquid−solid systems inside a pilot-scale-SBCR (0.3 m i.d./3 m height), in a wide range of pressures (1−30 bar), temperatures (298−530 K) and solid concentrations (0−17 vol %). The bubble size distributions were obtained using an iterative energy balance algorithm based on transient experimental pressure drops and forces exerted on bubbles in the disengagement cell. Bubble size distributions were described using log-normal distribution functions and the mean and variance were determined for the DGD runs. The mean and variance were correlated as functions of the system's physical properties and operating conditions, and were used to predict d 32 values with an absolute average relative error (AARE) of 11.72%. The approach was also applied to d 32 values available in the literature with an overall AARE of 24.27%.

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“…9,10 With the development of computer technology and chemical engineering, the chemical reaction calculation model of environmental engineering becomes gradually mature. Matos et al 11 developed a pseudo three-phase reactor model to simulate the process of petroleum hydrodesulfurization. Wang et al 12 and Darake et al 13 used a mathematical model to calculate the desulfurization efficiency of the pilot-scale desulfurization project, and the results meet the practical requirements.…”

Section: Introductionmentioning

confidence: 99%

Modeling and prediction for the oxidation efficiency of magnesium sulfite in aeration tank of magnesium-based seawater exhaust gas clean system

Liu

Zhu

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part M:

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In magnesium-based seawater exhaust gas clean system, the desulfurization by-product, magnesium sulfite (MgSO 3), has a negative impact on the ecological environment, which needs to be treated to make harmless. Due to the limited space on board, the aeration oxidation method is used to convert it to magnesium sulfate. Because of the variable size, shape and flow field of aeration tank, it is difficult and expensive to design and verify the oxidation efficiency of the aeration tank by experimental method. In this work, in order to predict the oxidation efficiency accurately, RFlow, a computational fluid dynamics software, was used to analyze the flow field and MgSO 3 oxidation reaction in aeration tank. The subdomain technology was adopted for physics modeling and mesh generation of the aeration tank, and the total number of meshes was 285,000. The multi-phase flow field model was set up using the multi-fluid model and dispersive k-e turbulence model. Under the given initial conditions, the predicted oxidation efficiency was 94.2%. Compared with the results of the actual ship test, the prediction model for MgSO 3 oxidation efficiency of the aeration tank is reliable.

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Modeling and simulation of a pseudo-three-phase slurry bubble column reactor applied to the process of petroleum hydrodesulfurization

Cited by 13 publications

References 15 publications

Modeling and prediction of desulfurization efficiency for magnesium-based seawater exhaust gas clean system

Modeling and prediction of desulfurization efficiency for magnesium-based seawater exhaust gas clean system

Novel Approach and Correlation for Bubble Size Distribution in a Slurry Bubble Column Reactor Operating in the Churn–Turbulent Flow Regime

Modeling and prediction for the oxidation efficiency of magnesium sulfite in aeration tank of magnesium-based seawater exhaust gas clean system

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