Conference paper · Book chapter
A framework for model-based optimization of bioprocesses under uncertainty: Identifying critical parameters and operating variables
Computer Aided Process Engineering Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark1
Department of Chemical and Biochemical Engineering, Technical University of Denmark2
Center for BioProcess Engineering, Department of Chemical and Biochemical Engineering, Technical University of Denmark3
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.
| Language: | English |
|---|---|
| Publisher: | Elsevier |
| Year: | 2011 |
| Pages: | 1455-1459 |
| Proceedings: | 21st European Symposium on Computer Aided Process Engineering |
| Series: | Computer Aided Chemical Engineering |
| ISBN: | 044453895X , 044453895x , 0444538968 , 128316440X , 128316440x , 6613164402 , 9780444538956 , 9780444538963 , 9781283164405 and 9786613164407 |
| ISSN: | 15707946 |
| Types: | Conference paper and Book chapter |
| DOI: | 10.1016/B978-0-444-54298-4.50070-2 |
| ORCIDs: | Meyer, Anne S. , Gernaey, Krist and Sin, Gürkan |
