New Approaches for Theoretical Estimation of Mass Transfer Parameters in Both Gas-Liquid and Slurry Bubble Columns

Nedeltchev, Stoyan; Schumpe, Adrian

doi:10.5772/14721

Cited by 6 publications

(5 citation statements)

References 105 publications

(188 reference statements)

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“…Bubble columns have traditionally been designed according to correlations for both the gas holdup and mass transfer coefficient . These correlations are based upon empirical observations using model systems in laboratory bubble columns, but they are needed to predict the behavior of real chemical systems in substantially larger reactors.…”

Section: Introductionmentioning

confidence: 99%

“…Gas density has been observed to affect the gas holdup measured in bubble columns . In previous work, the impact of gas density was attributed to differing rates of gas coalescence and break‐up . The impact of gas density on bubbly flows is important because most correlations for bubble rise velocity, drag coefficients, and integral values of gas holdup and mass transfer coefficients ( k L a ) have been developed from observations of air bubbles.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

et al. 2018

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Detailed measurements and computational fluid dynamics (CFD) investigation of the hydrodynamics in a bubble column containing internal features causing flow disturbances are presented for both air and helium gases. An optical needle probe has been used to measure profiles of bubble size, bubble velocity, and gas holdup at different locations across the cross section of the column. An approach combining CFD with population balances is able to represent observed multiphase flow phenomena such as the effect of the pipes to remix and redistribute the gas as well as the tendency of the gas to channel through a slit in the pipes rather than go around the pipes. The comparison of CFD simulation to experimental measurements reveal that the overall decrease in gas holdup observed when switching from air to helium gas can be explained by swarm effects, whereas the steeper decrease in the gas holdup profile across the column is due to coalescence effects. © 2018 American Institute of Chemical Engineers AIChE J, 64: 3764–3774, 2018

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

et al. 2018

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“…The calculated mean and variance of the log-normal bubble size are plotted in Figure a,b, and the AARE is 10.85% and 12.6%, respectively. This means that eqs and can be used to calculate the bubble size distribution in a three-phase system operating at elevated pressures, temperatures, and solid concentrations with different gas velocities, which overcomes the problems associated with bubble representation in SBCRs under these conditions as reported by numerous investigators. ,,,− …”

Section: Correlation Of the Mean And Variance Of The Log-normal Distr...mentioning

confidence: 97%

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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“…This equipment can be employed in several applications, such as alkylation reactions, polymerization, hydrogenation, and in the manufacturing of synthetic fuels by gas conversion processes, in fermentation and biochemical processes effluent treatment, Fischer-Tropsch synthesis, and coal liquefaction [12,13]. In liquid treatment applications, ozonation is limited by mass transfer process, fluid dynamics, thermodynamic and design aspects [14,15].…”

Section: Fundamentalmentioning

confidence: 99%

Simplified Models to Describe Transport and Decomposition of Ozone in a Bubble Column

Cremasco¹,

Castilho²

2018

JESE-B

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The understanding of ozonation in bubble columns is the first step to describe this process for organic and inorganic pollutants in water medium in this equipment. This paper developed mathematical models for decomposition of ozone in liquid phase, with analytical solution for zero, first and second-orders kinetics for different pH values, with and without gaseous phase mass transfer effect in the ozone transfer to the liquid phase. The results models are satisfactory when compared with experimental data, and indicate the importance to consider such effects.

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New Approaches for Theoretical Estimation of Mass Transfer Parameters in Both Gas-Liquid and Slurry Bubble Columns

Cited by 6 publications

References 105 publications

Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

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

Simplified Models to Describe Transport and Decomposition of Ozone in a Bubble Column

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