2 g
Home About us MoEF Contact us Sitemap Tamil Website  
About Envis
Whats New
Microorganisms
Research on Microbes
Database
Bibliography
Publications
Library
E-Resources
Microbiology Experts
Events
Online Submission
Access Statistics

Site Visitors

blog tracking


 
Process Biochemistry
Vol. 50 (4), 2015, Pages: 507–516

Modelling of the oxygen level response to feed rate perturbations in an industrial scale fermentation process

Ola Johnsson, Jonas Andersson, Gunnar Lidén, Charlotta Johnsson, Tore Hägglund

Department of Automatic Control, Faculty of Engineering LTH, Lund University, Box 118, 221 00 Lund, Sweden.

Abstract

A study of the feasibility of perturbation-based control methods in industrial fed-batch fermentations based on experiments in industrial production scale bioreactors (>100 m3) is presented, as well as modelling of the relation between substrate feed rate and dissolved oxygen level in such a process. Several different types of perturbation-based control methods have been suggested for control of this type of process but it has been reported that perturbations in the feed rate may cause decreased productivity in fermentations. The results of this study show that perturbations in the feed rate of production scale fermentations can achieve significant dissolved oxygen level responses without decreased productivity. A model based on data for dissolved oxygen responses and a simulation using a simple observer are given, showing that it is possible to model industrial mixing dynamics in a simple way and that this can be used for perturbation-based on-line estimation of the metabolic state of the system in regard to overflow metabolism. A frequency region where the model can be used has been identified, indicating which frequencies would be suitable for perturbation-based control in industrial fermentations.

Keywords: Process modelling; Process control; Perturbation-based control; Industrial fermentation; Bacillus licheniformis.

 
Copyright © 2005 ENVIS Centre ! All rights reserved
This site is optimized for 1024 x 768 screen resolution