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European Congress of Chemical Engineering - 6
Copenhagen 16-21 September 2007

Abstract 4065 - Product Optimization in a Fed-batch Fermentation Processes

Product Optimization in a Fed-batch Fermentation Processes

Integration of life sciences & engineering

Design, Analysis & Control of Fermentation Processes (T5-2)

Prof Arshad Ahmad
UTM
Department of Chemical Engineering
Faculty of Chemical and Natural Resources Engineering, 81310 UTM Skudai, Johor
Malaysia

Mr Mohd. Kamaruddin Abd. Hamid
Technical University of Denmark
CAPEC, Department of Chemical Engineering
2800 Kgs. Lyngby
Denmark

Mr Noor Asma Fazli Abdul Samad
Universiti Malaysia Pahang
Faculty of Chemical Engineering & Natural Resources
FKKSA UMP Locked Bag 12,
25000 Kuantan Pahang
Malaysia

Keywords: Penicillin G; Fermentation; Process Control; Dynamic optimization; Direct shooting method; DMC

1Department of Chemical Engineering
Faculty of Chemical and Natural Resources Engineering, 81310 UTM Skudai, Johor, Malaysia
Tel: +60-7-553-5610 Fax: +60-7-558-1463, Email: arshad@fkkksa.utm.my

2Department of Chemical Engineering
Faculty of Chemical and Natural Resources Engineering, 26000 KUKTEM Kuantan, Pahang, Malaysia
Tel: +60-9-549-2388, Email: asmafazli@kuktem.edu.my

Abstract
This paper discusses the development of constrained optimization strategies for a fed-batch penicillin fermentation process. To facilitate the study, a mathematical model of the system was derived using first principle. The model was simulated in MATLAB environment and validated against published works. Good agreement was obtained. To provide on-line estimates of the difficult to measure penicillin concentration, Partial Least Squares model was employed. Using these estimates, good control of product concentration was established. Further improvements using dynamic optimization were explored aiming at increasing the achievable product concentration while satisfying all process constraints. The results showed that the use of sequential quadratic programming within dynamic matrix control module produced better performance compared to shooting method. The results revealed the potentials of model predictive control approach in addressing biological process control.


See the full pdf manuscript of the abstract.

Presented Thursday 20, 12:12 to 12:30, in session Design, Analysis & Control of Fermentation Processes (T5-2).

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