Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6621n.shah

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Papathanasiou:2019:10.1016/j.compchemeng.2019.03.013,
author = {Papathanasiou, MM and Burnak, B and Katz, J and Shah, N and Pistikopoulos, EN},
doi = {10.1016/j.compchemeng.2019.03.013},
journal = {Computers and Chemical Engineering},
pages = {232--248},
title = {Assisting continuous biomanufacturing through advanced control in downstream purification},
url = {http://dx.doi.org/10.1016/j.compchemeng.2019.03.013},
volume = {125},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Aiming to significantly improve their processes and secure market share, monoclonal antibody (mAb) manufacturers seek innovative solutions that will yield improved production profiles. In that space, continuous manufacturing has been gaining increasing interest, promising more stable processes with lower operating costs. However, challenges in the operation and control of such processes arise mainly from the lack of appropriate process analytics tools that will provide the required measurements to guarantee product quality. Here we demonstrate a Process Systems Engineering approach for the design a novel control scheme for a semi-continuous purification process. The controllers are designed employing multi-parametric Model Predictive Control (mp-MPC) strategies and the successfully manage to: (a) follow the system periodicity, (b) respond to measured disturbances and (c) result in satisfactory yield and product purity. The proposed strategy is also compared to experimentally optimized profiles, yielding a satisfactory agreement.
AU  - Papathanasiou,MM
AU  - Burnak,B
AU  - Katz,J
AU  - Shah,N
AU  - Pistikopoulos,EN
DO  - 10.1016/j.compchemeng.2019.03.013
EP  - 248
PY  - 2019///
SN  - 0098-1354
SP  - 232
TI  - Assisting continuous biomanufacturing through advanced control in downstream purification
T2  - Computers and Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.compchemeng.2019.03.013
UR  - http://hdl.handle.net/10044/1/69655
VL  - 125
ER  -
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