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    Data-driven Modeling of a Fermenter Using Flux Balance Analysis

    , M.Sc. Thesis Sharif University of Technology Banitalebi Dehkordi, Milad (Author) ; Pishavie, Mahmoud Reza (Supervisor) ; Vafa, Ehsan (Supervisor)
    Abstract
    Optimization and control of complex bioprocesses require accurate modeling. The application of flux balance analysis has gained considerable attention. In this approach, structured modeling is constructed based on metabolic genome networks. Although flux balance analysis provides an accurate model, applying it in optimization and control schemes especially model predictive control strategies often lead to bilevel optimization problems with significant computational cost. Therefore, we require a faster approach. The aim of this work is to use hybrid neural networks as a substitute for the optimization problem embedded in the dynamic model of a fermenter. In this work by proposing a hybrid... 

    Gas Fermentation Development Using Flux Balance Analysis

    , Ph.D. Dissertation Sharif University of Technology Sohrabi Shoabjareh, Ali (Author) ; Farhadi, Fathollah (Supervisor) ; Pishvaie, Mahmood Reza (Supervisor)
    Abstract
    In this thesis, a typical dynamic model of syngas fermentation, refered as hybrid method for biofuels production, coupled with a distillation column is developed in SimDFBA. The bioreactor is simulated in MATLAB/Simulink by using Clostridium ljungdahlii acetogenic micro-organism metabolic network. Bioreactor modeling is accomplished with a bubble column reactor in both liquid and gas phases, while the separator was simulated with ASPEN. PDE equiations of bioreactor modeing are dicretized to ODE equation by using QUICK scheme of finite volume method. A new econometric optimization study for outlet gas purification through a pressure swing adsorption unit to recycle relatively pure hydrogen is...