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Modeling and Simulation of Bioelectrochemical Systems

Karimi Alavijeh, Masih | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47097 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Yaghmaei, Soheyla
  7. Abstract:
  8. The objective of the present research, for the first time, was to configure a novel dynamic model to be applied in a general manner to simulate bioelectrochemical systems including microbial fuel cell and microbial electrolysis cell. Biochemical reactions engaged in organic substances degradation in both anolyte and biofilm were described by two anaerobic digestion models; Bernard’s anaerobic digestion model and ADM1. In addition, the bioelectrogenesis and electron transfer were modeled based on the direct electron transfer mechanism across the conductive biofilm. The biofilm simulation was established upon the one-dimensional distributions of substrates and microorganisms. In this study, the modeling of the biofilm local potential was modified based on the general and linear boundary conditions to simulate microbial electrolysis cells. The model validation was conducted based on a variety of simple to complex substrates including acetate, glucose, gluconic acid, xylose, arabinose, cellulose, protein, dairy wastewater and potato wastewater and simulated results were compared with previously published models. Furthermore, disparate variables of the anolyte and biofilm such as anolyte solution concentrations, relative potential and microbial distributions in the biofilm, biofilm thickness, etc. The effect of substrate concentration, external resistance and external applied voltage on the performance of the microbial fuel and electrolysis cells as well as the variation trend of microbial population, volatile fatty acids concentrations and biofilm status was investigated. Moreover, the polarization curve of the cell was simulated and the cause of overshoot phenomenon was described based on the more accurate perception of the biofilm conditions around the overshoot point. The results prove the appropriate applicability of the presented model in the comprehensive simulation of these systems
  9. Keywords:
  10. Microbial Fuel Cell ; Anaerobic Digestion ; Microbial Electrolysis Cell ; Polarization ; Modeling ; Simulation ; Bioelectrochemical Systems ; Electron Conduction

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