Journal article · Preprint article
Benchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass
Department of Chemical and Biochemical Engineering, Technical University of Denmark1
PROSYS - Process and Systems Engineering Centre, Department of Chemical and Biochemical Engineering, Technical University of Denmark2
University of Santiago de Compostela3
KT Consortium, Department of Chemical and Biochemical Engineering, Technical University of Denmark4
The goal of this paper is to review and critically assess different methods to monitor key process variables for ethanol production from lignocellulosic biomass. Because cellulose-based biofuels cannot yet compete with non-cellulosic biofuels, process control and optimization are of importance to lower the production costs.
This study reviews different monitoring schemes, to indicate what the added value of real-time monitoring is for process control. Furthermore, a comparison is made on different monitoring techniques to measure the off-gas, the concentrations of dissolved components in the inlet to the process, the concentrations of dissolved components in the reactor, and the biomass concentration.
Finally, soft sensor techniques and available models are discussed, to give an overview of modeling techniques that analyze data, with the aim of coupling the soft sensor predictions to the control and optimization of cellulose to ethanol fermentation. The paper ends with a discussion of future needs and developments.
| Language: | English |
|---|---|
| Year: | 2019 |
| Pages: | 105296 |
| ISSN: | 18732909 and 09619534 |
| Types: | Journal article and Preprint article |
| DOI: | 10.1016/j.biombioe.2019.105296 |
| ORCIDs: | 0000-0003-2372-5082 , 0000-0001-7314-3094 , Huusom, Jakob Kjøbsted , Junicke, Helena and Gernaey, Krist V. |
Cellulosic ethanol Fermentation Models Monitoring devices Real-time monitoring Soft sensors
