Reproduction, Optimization, and Translation of a Dynamic Model of High Biomass Ethanol Fermentation to Support Variable Temperature

In this paper, the effect of a variable temperature fermentation model was studied. We identified a model which considers substrate, product, and biomass inhibition, as well as an active and inactive cell phase of the yeast Saccharomyces cerevisiae. The model was evaluated using MATLAB at five different temperatures (28, 31, 34, 37, and 40°C). In the proposed model, we optimized the results through parameter fitting and compared it to the initial model which failed to simulate cell death. Through this work, we were able to improve the fit of the model considerably by 33% decrease, in the residual standard deviation. We also found that a smaller range of temperature performs better by maintaining the ethanol concentration and decreasing the temperature through the fermentation. Our model can show fermentation over a change in temperature over time and can show how fermentations will perform with temperature change.