Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems

Lisa Mears; Stuart M. Stocks; Mads O.  Albæk; Gürkan Sin; Krist Gernaey

doi:10.1016/B978-0-444-63428-3.50223-X

Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems

Lisa Mears, Stuart M. Stocks, Mads O. Albæk, Gürkan Sin, Krist Gernaey

Department of Chemical and Biochemical Engineering

Novozymes A/S

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This work discusses the application of mechanistic models to pilot scale filamentous fungal fermentation systems operated at Novozymes A/S. For on-line applications, a state estimator model is developed based on a stoichiometric balance in order to predict the biomass and product concentration. This is based on on-line gas measurements and ammonia addition flow rate measurements. Additionally, a mechanistic model is applied offline as a tool for batch planning, based on definition of the process back pressure, aeration rate and stirrer speed. This allows the batch starting fill to be planned, taking into account the oxygen transfer conditions, as well as the evaporation rates of the system. Mechanistic models are valuable tools which are applicable for both process development and optimization. The state estimator described will be a valuable tool for future work as part of control strategy development for on-line process control and optimization.

Original language	English
Title of host publication	Proceedings of the 26th European Symposium on Computer Aided Process Engineering
Editors	Zdravko Kravanja, Miloš Bogataj
Volume	38
Publisher	Elsevier
Publication date	2016
Pages	1311–1316
ISBN (Electronic)	978-0-444-63428-3
DOIs	https://doi.org/10.1016/B978-0-444-63428-3.50223-X
Publication status	Published - 2016
Event	26th European Symposium on Computer-Aided Process Engineering - Grand Hotel Bernardin Congress Centre, Portorož , Slovenia Duration: 12 Jun 2016 → 15 Jun 2016 http://escape26.um.si/

Conference

Conference	26th European Symposium on Computer-Aided Process Engineering
Location	Grand Hotel Bernardin Congress Centre
Country/Territory	Slovenia
City	Portorož
Period	12/06/2016 → 15/06/2016
Internet address	http://escape26.um.si/

Series	Computer Aided Chemical Engineering
Volume	38
ISSN	1570-7946

Keywords

Fermentation
Modelling
Process Optimization
State estimation (SE)

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10.1016/B978-0-444-63428-3.50223-X

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Mears, L., Stocks, S. M., Albæk, M. O., Sin, G., & Gernaey, K. (2016). Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems. In Z. Kravanja, & M. Bogataj (Eds.), Proceedings of the 26th European Symposium on Computer Aided Process Engineering (Vol. 38, pp. 1311–1316). Elsevier. https://doi.org/10.1016/B978-0-444-63428-3.50223-X

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abstract = "This work discusses the application of mechanistic models to pilot scale filamentous fungal fermentation systems operated at Novozymes A/S. For on-line applications, a state estimator model is developed based on a stoichiometric balance in order to predict the biomass and product concentration. This is based on on-line gas measurements and ammonia addition flow rate measurements. Additionally, a mechanistic model is applied offline as a tool for batch planning, based on definition of the process back pressure, aeration rate and stirrer speed. This allows the batch starting fill to be planned, taking into account the oxygen transfer conditions, as well as the evaporation rates of the system. Mechanistic models are valuable tools which are applicable for both process development and optimization. The state estimator described will be a valuable tool for future work as part of control strategy development for on-line process control and optimization.",

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Mears, L, Stocks, SM, Albæk, MO, Sin, G & Gernaey, K 2016, Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems. in Z Kravanja & M Bogataj (eds), Proceedings of the 26th European Symposium on Computer Aided Process Engineering. vol. 38, Elsevier, Computer Aided Chemical Engineering, vol. 38, pp. 1311–1316, 26th European Symposium on Computer-Aided Process Engineering, Portorož , Slovenia, 12/06/2016. https://doi.org/10.1016/B978-0-444-63428-3.50223-X

Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems. / Mears, Lisa; Stocks, Stuart M.; Albæk, Mads O. et al.
Proceedings of the 26th European Symposium on Computer Aided Process Engineering. ed. / Zdravko Kravanja; Miloš Bogataj. Vol. 38 Elsevier, 2016. p. 1311–1316 (Computer Aided Chemical Engineering, Vol. 38).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Gernaey, Krist

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N2 - This work discusses the application of mechanistic models to pilot scale filamentous fungal fermentation systems operated at Novozymes A/S. For on-line applications, a state estimator model is developed based on a stoichiometric balance in order to predict the biomass and product concentration. This is based on on-line gas measurements and ammonia addition flow rate measurements. Additionally, a mechanistic model is applied offline as a tool for batch planning, based on definition of the process back pressure, aeration rate and stirrer speed. This allows the batch starting fill to be planned, taking into account the oxygen transfer conditions, as well as the evaporation rates of the system. Mechanistic models are valuable tools which are applicable for both process development and optimization. The state estimator described will be a valuable tool for future work as part of control strategy development for on-line process control and optimization.

AB - This work discusses the application of mechanistic models to pilot scale filamentous fungal fermentation systems operated at Novozymes A/S. For on-line applications, a state estimator model is developed based on a stoichiometric balance in order to predict the biomass and product concentration. This is based on on-line gas measurements and ammonia addition flow rate measurements. Additionally, a mechanistic model is applied offline as a tool for batch planning, based on definition of the process back pressure, aeration rate and stirrer speed. This allows the batch starting fill to be planned, taking into account the oxygen transfer conditions, as well as the evaporation rates of the system. Mechanistic models are valuable tools which are applicable for both process development and optimization. The state estimator described will be a valuable tool for future work as part of control strategy development for on-line process control and optimization.

KW - Fermentation

KW - Modelling

KW - Process Optimization

KW - State estimation (SE)

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BT - Proceedings of the 26th European Symposium on Computer Aided Process Engineering

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Mears L, Stocks SM, Albæk MO, Sin G , Gernaey K. Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems. In Kravanja Z, Bogataj M, editors, Proceedings of the 26th European Symposium on Computer Aided Process Engineering. Vol. 38. Elsevier. 2016. p. 1311–1316. (Computer Aided Chemical Engineering, Vol. 38). doi: 10.1016/B978-0-444-63428-3.50223-X

Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems

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