Dynamic Crossflow Filtration

Jaffrin, Michel Y.

doi:10.1002/9781118522318.emst074

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…Furthermore, the practical implementation of the digital twin in an industrial use case is reported. DCF is a high-performance filtration technique that relies on rotating discs reducing the deposition of fouling components on a membrane surface [ 35 , 36 ]. The modeling of rotating membrane discs requires consideration of the physical phenomena occuring only with DCF such as cake reduction and fluid backpressure due to rotation of the membranes [ 37 , 38 ].…”

Section: Introductionmentioning

confidence: 99%

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

Heusel,

Grim,

Rauhut

et al. 2024

Bioengineering

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Dynamic crossflow filtration (DCF) is the state-of-the-art technology for solid–liquid separation from viscous and sensitive feed streams in the food and biopharma industry. Up to now, the potential of industrial processes is often not fully exploited, because fixed recipes are usually applied to run the processes. In order to take the varying properties of biological feed materials into account, we aim to develop a digital twin of an industrial brownfield DCF plant, allowing to optimize setpoint decisions in almost real time. The core of the digital twin is a mechanistic–empirical process model combining fundamental filtration laws with process expert knowledge. The effect of variation in the selected process and model parameters on plant productivity has been assessed using a model-based design-of-experiments approach, and a regression metamodel has been trained with the data. A cyclic program that bidirectionally communicates with the DCF asset serves as frame of the digital twin. It monitors the process dynamics membrane torque and transmembrane pressure and feeds back the optimum permeate flow rate setpoint to the physical asset in almost real-time during process runs. We considered a total of 24 industrial production batches from the filtration of grape juice from the years 2022 and 2023 in the study. After implementation of the digital twin on site, the campaign mean productivity increased by 15 % over the course of the year 2023. The presented digital twin framework is a simple example how an industrial established process can be controlled by a hybrid model-based algorithm. With a digital process dynamics model at hand, the presented metamodel optimization approach can be easily transferred to other (bio)chemical processes.

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Section: Introductionmentioning

confidence: 99%

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

Heusel,

Grim,

Rauhut

et al. 2024

Bioengineering

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Modeling and assessment of the transfer effectiveness in integrated bioreactor with membrane separation

Tsibranska

Vlaev

Dzhonova

et al. 2020

Physical Sciences Reviews

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Integrating a reaction process with membrane separation allows for effective product removal, favorable shifting of the reaction equilibrium, overcoming eventual inhibitory or toxic effects of the products and has the advantage of being energy and space saving. It has found a range of applications in innovative biotechnologies, generating value-added products (exopolysaccharides, antioxidants, carboxylic acids) with high potential for separation/ concentration of thermosensitive bioactive compounds, preserving their biological activity and reducing the amount of solvents and the energy for solvent recovery. Evaluating the effectiveness of such integrated systems is based on fluid dynamics and mass transfer knowledge of flowing matter close to the membrane surface – shear deformation rates and shear stress at the membrane interface, mass transfer coefficients. A Computational Fluid Dynamics (CFD)-based approach for assessing the effectiveness of integrated stirred tank bioreactor with submerged membrane module is compiled. It is related to the hydrodynamic optimization of the selected reactor configuration in two-phase flow, as well as to the concentration profiles and analysis of the reactor conditions in terms of reaction kinetics and mass transfer.

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Dynamic Crossflow Filtration

Cited by 2 publications

References 34 publications

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

Modeling and assessment of the transfer effectiveness in integrated bioreactor with membrane separation

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