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膨胀床吸附的数学建模——计算机模拟过程设计的视角

Mathematical modelling of expanded bed adsorption - a perspective on in silico process design.

作者信息

Koppejan Victor, Ferreira Guilherme, Lin Dong-Qiang, Ottens Marcel

机构信息

Delft University of Technology Department of Biotechnology, Van der Maasweg 9, 2629 HZ Delft The Netherlands.

DSM Biotechnology Center Center of Integrated BioProcessing, Alexander Fleminglaan 1 2613 AX Delft The Netherlands.

出版信息

J Chem Technol Biotechnol. 2018 Jul;93(7):1815-1826. doi: 10.1002/jctb.5595. Epub 2018 Apr 6.

DOI:10.1002/jctb.5595
PMID:30008502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6032964/
Abstract

Expanded bed adsorption (EBA) emerged in the early 1990s in an attempt to integrate the clarification, capture and initial product concentration/purification process. Several mathematical models have been put forward to describe its operation. However, none of the models developed specifically for EBA allows simultaneous prediction of bed hydrodynamics, mass transfer/adsorption and (unwanted) interactions and fouling. This currently limits the development and early optimization of EBA-based separation processes. In multiphase reactor engineering, the use of multiphase computational fluid dynamics has been shown to improve fundamental understanding of fluidized beds. To advance EBA technology, a combination of particle, equipment and process scale models should be used. By employing a cascade of multiscale simulations, the various challenges EBA currently faces can be addressed. This allows for optimal design and selection of equipment, materials and process conditions, and reduces risks and development times of downstream processes involving EBA. © 2018 The Authors. published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

摘要

扩张床吸附(EBA)于20世纪90年代初出现,旨在整合澄清、捕获和初始产物浓缩/纯化过程。已经提出了几种数学模型来描述其操作。然而,专门为EBA开发的模型都无法同时预测床层流体动力学、传质/吸附以及(不需要的)相互作用和污垢。这目前限制了基于EBA的分离过程的开发和早期优化。在多相反应器工程中,多相计算流体动力学的应用已被证明能增进对流化床的基本理解。为了推进EBA技术,应结合使用颗粒、设备和过程尺度模型。通过采用一系列多尺度模拟,可以应对EBA目前面临的各种挑战。这有助于对设备、材料和工艺条件进行优化设计和选择,并降低涉及EBA的下游工艺的风险和开发时间。© 2018作者。由John Wiley & Sons Ltd代表化学工业协会出版。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/2d6bd099abf6/JCTB-93-1815-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/2d6bd099abf6/JCTB-93-1815-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/4b540c50d6cd/JCTB-93-1815-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/55f1354b71a1/JCTB-93-1815-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/c752c0872c1e/JCTB-93-1815-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/728bc8485eaa/JCTB-93-1815-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/0ad3618a880d/JCTB-93-1815-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/57fd75a23e33/JCTB-93-1815-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/255ccf912f01/JCTB-93-1815-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/f9730c7daf78/JCTB-93-1815-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/3d996ecbbbfc/JCTB-93-1815-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e9/6032964/e93ba174925b/JCTB-93-1815-g003.jpg
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