Loading...

Dynamic Modeling of a Bubble Column Bioreactor Using Hybrid Neural Networks

Alishahi, Amir Hosein | 2023

67 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56248 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza; Vafa, Ehsan
  7. Abstract:
  8. With the daily increasing demand for energy, we are facing many crises, such as environmental pollution and global warming, etc. Geopolitical issues can also lead to problems for some countries in reaching the energy demand considered in their development plan of them. For this purpose, a part of the global research is focused on removing these obstacles. One of the methods that can be used to produce cleaner fuel, or more precisely "biofuel", is the gaseous fermentation of synthesis gas by microorganisms and algae. A rod-shaped, anaerobic microorganism called Clostridium ljungdahlii uses synthesis gas for its reproduction. In other words, this bacterium can ferment carbon monoxide, carbon dioxide, and hydrogen gases and turn them into ethanol and acetate. One of the practical challenges facing gas fermentation bioprocess developers is establishing optimal environmental conditions for the cultivation or reproduction of this microorganism and its variants. These conditions include proper contact and effective mass transfer from the dispersed phase (dissolved synthesis gas) to the continuous phase (biomass slurry) for bioconversion. One of the common industrial equipment for proper interphase mass transfer operation is bubble (column) reactors. The main goal of this project is the modeling and dynamic simulation of this type of reactor. It should be kept in mind that at the heart of this goal is the approach to model biological processes because this category of processes has its specific complexities. The use of the dynamic flux balance analysis algorithm, which is based on the reconstructed metabolic network on a genomic scale, is one of the approaches of modeling biological processes that has attracted a lot of attention. It should be noted that the use of this algorithm causes the solution of an optimization problem dynamically, which will impose a large computational burden on us. For this reason, we need a faster approach to do this. In this research, the data-oriented approach of hybrid neural networks will be used for the spatiotemporal modeling of biochemical reactions as an alternative to the dynamic flux balance analysis algorithm. The results of this research showed that this biological process in this equipment can produce biofuel on an industrial scale if the presented model is reasonable
  9. Keywords:
  10. Dynamic Modeling ; Hybrid Neural Network ; Bubble Column Bioreactor ; Fuel Production ; Dynamic Flux Balance Analysis ; Biofuel ; Energy Demand

 Digital Object List

 Bookmark

No TOC