Master's Dissertation
DOI
https://doi.org/10.11606/D.18.2015.tde-21122015-102442
Document
Author
Full name
Paulo Roberto Chiarolanza Vilela
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2015
Supervisor
Committee
Siqueira, Adriano Almeida Gonçalves (President)
Lopes, Mário Lúcio
Terra, Marco Henrique
Title in Portuguese
Modelagem, simulação e otimização dinâmica aplicada a um processo de fermentação alcoólica em batelada alimentada
Keywords in Portuguese
Fermentação etanólica
H-infinito
Linear a parâmetros variantes
Modelagem matemática
Abstract in Portuguese
Title in English
Modeling, simulation and dynamic optimization applied to an alcoholic fermentation process in fed-batch
Keywords in English
Ethanol fermentation
Fed batch
H-infinity
Linear parameter varying
Mathematical modeling
Abstract in English
The use of ethanol in Brazil is considered the most important commercial renewable fuel program in the world, with a potential substitute for oil products. The increase in fermentation yield and losses reduction are objectives of study in various research centers, where the study of mathematical modeling and simulation of the process is of significant importance. This research presents as function to identify a mathematical model for the isolated strain of Saccharomyces cerevisiae PE-2, in order to optimize the way their substrate is fed, through a H control based on quasi-LPV representation. Nine fermentation tests are performed at three different temperatures under the same conditions for incoming substrate concentration. After the experiments and analysis, it is carried out the estimation of parameters which are components of the differential equations that explain the fermentation kinetics, through a Quasi-Newton algorithm. With the mathematical model obtained, it is developed an optimal control for temperature 33°C (usual temperature control in the industrial process), considering the parameters "s" e "v" variyng in time and the parameters x = 150 g/L e p = 70 g/L set, which are average values obtained over the tests. The use of the control developed, applied to the flow variation, allows increasing productivity in 10% when compared with the flow performed in the tests conditions. The final results demonstrated the efficacy of the developed mathematical model, compared to other similar studies, the influence of temperature on the kinetic parameters and the possibility to optimize the process through an advanced process control.

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Publishing Date
2015-12-22

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