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Complex Dynamics in Fed-Batch Systems: Modeling, Analysis and Control of Alcoholic Fermentations
| Content Provider | Semantic Scholar |
|---|---|
| Author | Seer, Qiu Han |
| Copyright Year | 2017 |
| Abstract | Motivated by energy security, sustainable economic growth and greenhouse gas emission reduction goals, biofuels, such as bioethanol, have emerged as a potential renewable alternative to fossil fuels. Over the past few decades, there has been a tremendous growth in the use of the fermentation process to achieve efficiency with biofuels. Among several different types of fermentation techniques available, the fed-batch fermentation process has gained increasing popularity due to its ability in avoiding the presence of large surplus nutrients in the broth, which can act as kinetic inhibitors leading to low yields and productivity. While this problem can be overcome by using the fed-batch fermentation technique, one of the key challenges in the system operation lies in its difficult control design problem, which arises from the time-varying nature of the system. Hence, to alleviate this problem, the modeling and control of the fed-batch fermentation process has been a subject of great interest in order to realize high productivity and yields from the fermentation technique. In fed-batch modeling, the development of a microbial kinetics model, will in part demonstrate the complexity of the overall system dynamics, which in turn will affect the controllability of the system. A part of the present study was to investigate how pH, aeration rate and stirrer speed affect ethanol production by Bakers yeast using combined cassava and fruit waste (rejected mango and durian seeds) as feedstock. The usage of fruit waste (e.g. damaged fruit, peels and seeds) helped to reduce the heavy reliance on agricultural crops and avoid expensive pretreatment as in the case of lignocellulosic materials with complex structure. One of the findings showed that a simple Monods model was unable to describe the fermentation kinetics, suggesting that complex carbohydrate sources can lead to a more complex microbial kinetics behavior. A modified model based on the combined Herbert-Haldane microbial kinetics model was developed, which seemed to fit the experimental data better. Also, this modified Herbert-Haldane microbial kinetics model can be further altered to incorporate the direct effects of pH, aeration rate (AR) and |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://espace.curtin.edu.au/bitstream/handle/20.500.11937/56546/Seer%20Qiu%20Han%202017.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
