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 |
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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 | |
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 |
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Country | Greece |
City | Chalkidiki |
Period | 29/05/2011 → 01/06/2011 |
Internet address |
Series | Computer Aided Chemical Engineering |
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Volume | 29 |
ISSN | 1570-7946 |
Keywords
- Critical process parameters
- Sensitivity analysis
- Bioethanol production
- Monte-Carlo
- Uncertainty analysis