A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables

Ricardo Morales Rodriguez; Anne S. Meyer; Krist Gernaey; Gürkan Sin

doi:10.1016/B978-0-444-54298-4.50070-2

A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables

Ricardo Morales Rodriguez, Anne S. Meyer, Krist Gernaey, Gürkan Sin

Department of Chemical and Biochemical Engineering

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

Abstract

This study presents the development and application of a systematic model-based framework for bioprocess optimization, evaluated on a cellulosic ethanol production case study. The implementation of the framework involves the use of dynamic simulations, sophisticated uncertainty analysis (Monte-Carlo technique) and sensitivity analysis (such as global techniques). The results of the case study point towards the enzyme loading as the most significant variable influencing the operational cost of additives in the conversion of lignocellulose to ethanol. Moreover, the results also show that there is an opportunity for further process optimization of bioethanol production from lignocellulose.

Original language	English
Title of host publication	21st European Symposium on Computer Aided Process Engineering
Publisher	Elsevier
Publication date	2011
Pages	1455-1459
ISBN (Print)	978-0-444-53895-6
DOIs	https://doi.org/10.1016/B978-0-444-54298-4.50070-2
Publication status	Published - 2011
Event	21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece Duration: 29 May 2011 → 1 Jun 2011 http://www.escape-21.gr/

Conference

Conference	21st European Symposium on Computer Aided Process Engineering
Country/Territory	Greece
City	Chalkidiki
Period	29/05/2011 → 01/06/2011
Internet address	http://www.escape-21.gr/

Series	Computer Aided Chemical Engineering
Volume	29
ISSN	1570-7946

Keywords

Critical process parameters
Sensitivity analysis
Bioethanol production
Monte-Carlo
Uncertainty analysis

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Morales Rodriguez, R., Meyer, A. S., Gernaey, K., & Sin, G. (2011). A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables. In 21st European Symposium on Computer Aided Process Engineering (pp. 1455-1459). Elsevier. Computer Aided Chemical Engineering Vol. 29 https://doi.org/10.1016/B978-0-444-54298-4.50070-2

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Morales Rodriguez, R, Meyer, AS , Gernaey, K & Sin, G 2011, A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables. in 21st European Symposium on Computer Aided Process Engineering. Elsevier, Computer Aided Chemical Engineering, vol. 29, pp. 1455-1459, 21st European Symposium on Computer Aided Process Engineering, Chalkidiki, Greece, 29/05/2011. https://doi.org/10.1016/B978-0-444-54298-4.50070-2

A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables. / Morales Rodriguez, Ricardo; Meyer, Anne S.; Gernaey, Krist et al.

21st European Symposium on Computer Aided Process Engineering. Elsevier, 2011. p. 1455-1459 (Computer Aided Chemical Engineering, Vol. 29).

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

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AB - This study presents the development and application of a systematic model-based framework for bioprocess optimization, evaluated on a cellulosic ethanol production case study. The implementation of the framework involves the use of dynamic simulations, sophisticated uncertainty analysis (Monte-Carlo technique) and sensitivity analysis (such as global techniques). The results of the case study point towards the enzyme loading as the most significant variable influencing the operational cost of additives in the conversion of lignocellulose to ethanol. Moreover, the results also show that there is an opportunity for further process optimization of bioethanol production from lignocellulose.

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Morales Rodriguez R, Meyer AS , Gernaey K , Sin G. A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables. In 21st European Symposium on Computer Aided Process Engineering. Elsevier. 2011. p. 1455-1459. (Computer Aided Chemical Engineering, Vol. 29). https://doi.org/10.1016/B978-0-444-54298-4.50070-2

A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables

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