Modeling the fluid dynamics of a high-pressure extraction column

Brockkötter, Johannes; Jupke, Andreas

doi:10.1016/j.supflu.2019.104636

Cited by 3 publications

(7 citation statements)

References 22 publications

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“…In this equation, u superficial defines the velocity of the supercritical CO 2 without any interaction with the packing; δ is defined as the holdup of the high‐pressure extraction column. The holdup is calculated by using the correlation suggested by Brockkötter and Jupke . The equation indicates that the supercritical fluid will be faster than the superficial velocity due to the tapered free volume in the extraction column.…”

Section: Resultsmentioning

confidence: 99%

“…Detailed information and data about the characteristics of the packing Sulzer CY can be found elsewhere .…”

Section: Methodsmentioning

confidence: 99%

“…This setup allows to reproducibly pump 0.13 g s −1 ± 0.003 g s −1 tracer substance. For one tracer impulse, the valve is open for 1 s. Becker , Heydrich , and Brockkötter and Jupke already stated that o ‐xylene is a suitable tracer substance for supercritical CO 2 . At the top of the extraction column two optical fibers are installed at the heated sapphire glasses.…”

Section: Methodsmentioning

confidence: 99%

“…No calibration is conducted. The settings of the UV-VIS-NIR spectrophotometer are stated elsewhere [16].…”

Section: Research Articlementioning

confidence: 99%

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Inline Measurement of the Residence Time Distribution in High‐Pressure Extraction Columns

2020

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Axial backmixing lowers the efficiency of packed countercurrent high-pressure extraction columns. To quantify backmixing, a method of measuring the residence time distribution and calculating the axial dispersion coefficient in high-pressure extraction columns is introduced. Using a design of experiments, the effect of supercritical and liquid mass flow rates as well as the pressure at a constant temperature on the mean residence time and the axial dispersion coefficient are evaluated for the system water/supercritical CO 2. The experimental data is correlated to the Reynolds and Schmidt number.

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Section: Resultsmentioning

confidence: 99%

“…Detailed information and data about the characteristics of the packing Sulzer CY can be found elsewhere .…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…No calibration is conducted. The settings of the UV-VIS-NIR spectrophotometer are stated elsewhere [16].…”

Section: Research Articlementioning

confidence: 99%

See 2 more Smart Citations

Inline Measurement of the Residence Time Distribution in High‐Pressure Extraction Columns

2020

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“…The dispersed aqueous phase, however, is not wetting the gauze wire packing surface. Its fluid dynamics can be compared to those of a liquid-liquid extraction column [4,5].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Flooding in Packed Liquid‐Liquid and High‐Pressure Extraction Columns Using a Gaussian Process

Brockkötter

Ahndorf

Jupke

2021

Chemie Ingenieur Technik

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Reliable prediction of flooding conditions is needed for sizing and operating packed extraction columns. Due to the complex interplay of physicochemical properties, operational parameters and the packing-specific properties, it is challenging to develop accurate semi-empirical or rigorous models with a high validity range. State of the art models may therefore fail to predict flooding accurately. To overcome this problem, a data-driven model based on Gaussian processes is developed to predict flooding for packed liquid-liquid and high-pressure extraction columns. The optimized Gaussian process for the liquid-liquid extraction column results in an average absolute relative error (AARE) of 15.23 %, whereas the algorithm for the high-pressure extraction column results in an AARE of 13.68 %. Both algorithms can predict flooding curves for different packing geometries and chemical systems precisely.

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The Development of a Transient Analysis Platform of Near-Critical CO2 Thermodynamic Systems via an Enthalpy-Based Implicit Continuous Eulerian Approach

Son,

Bae

2024

Energies

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This work presents the development and validation of an enthalpy-based implicit continuous Eulerian (ICE) solver, termed the near-critical ICE solver (NICES), for the analysis of near-critical CO2 thermodynamic systems. Traditional approaches relying on pressure and temperature as main inputs for the analysis have limitations in handling CO2 near the critical point, which exhibits unique characteristics and frequent phase changes. To overcome these limitations, this study proposes using enthalpy as a more suitable mathematical modeling approach. The NICES methodology employs the homogeneous equilibrium model and the Span and Wagner equations of state for CO2. This solver demonstrates improved numerical stability and computational speed compared to explicit calculation methods, as validated by frictionless heated pipe scenarios involving phase transitions near the critical point. The enthalpy-based NICES platform can predict thermohydraulics, including multiphase flows, without requiring specialized two-phase flow models.

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Modeling the fluid dynamics of a high-pressure extraction column

Cited by 3 publications

References 22 publications

Inline Measurement of the Residence Time Distribution in High‐Pressure Extraction Columns

Inline Measurement of the Residence Time Distribution in High‐Pressure Extraction Columns

Prediction of Flooding in Packed Liquid‐Liquid and High‐Pressure Extraction Columns Using a Gaussian Process

The Development of a Transient Analysis Platform of Near-Critical CO2 Thermodynamic Systems via an Enthalpy-Based Implicit Continuous Eulerian Approach

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