MODELING AND SIMULATE ALCOHOL FERMENTATION PROCESS BY SIMULINK

Abstract

Ethanol fermentation is widely used in the production of foods like alcoholic beverages. In previous
research, the production of ethanol by batch fermentation and continuous fermentation process was
examined. Continuous fermentation is a complex process consisting of many alterations of energy and
matter flows. For improving the overall fermentation process efficiency, a rigorous analysis to determine
optimal values for operation variables is needed. Simulation of the process is a recognized way for doing
such an analysis. In this study, a MIMO (Multi Input, Multi Output) nonlinear multivariable predictive
controller was developed for an alcoholic fermentation process. Effect of agitation rate and heat exchange
in bioreactors during ethanol fermentation wasn’t analyzed. Mathematical models were used to predict
the influence of operating parameters on cell concentration, substrate utilization rate and ethanol
production rate. The basic principle used in this model is a concept of balance theory of mass and
energy.Parameter were estimated from experimental data. The kinetic model with its parameters was
applied in the simulation of a continuous fermentation process for ethanol production. Simulations for
multiple scenarios were carried out using software tool Simulink using block diagrams, overlaid on the
Matlab R2016a programming language. Results was obtained in the simulation is the basis for the
preliminary evaluation of results in optimization, identification and linearization and can be used for
design of the control systems as well as the operating mode prediction.