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Modelling and Temperature Uncertainty Analysis of a Fermentation Bioreactor at an Industrial Brewery

Abstract:

A mathematical model is adjusted to mimic the operational data of an industrial brewery during the fermentation process. The model is composed of a set of nonlinear ordinary differential equations. The parameters of the model were estimated using the least-squares method and the Levenberg-Marquardt algorithm. Once the model is adjusted, stochastic simulations run for different temperature profiles which are obtained using a Latin-hypercube sampling strategy. The results show the impact of the temperature uncertainty on the fermentation sub-products responsible of the final products’ off-flavors.