Simulation of Profit Optimization for Industrial Baker's Yeast Continuous Fermentation

Abstract An on-line profit optimization approach for baker’s yeast continuous fermentation was developed. The profit optimization was done based on the process model system and profit function which were earlier established. An on-line rolling identification method with moving-data-windows technique was used to modify the model system so as to adapt the different transients caused by different initial conditions from run to run and the time-varied dynamics of cell metabolism. With the help of such an adaptive process model, optimal molasses feeding strategies were determined by maximizing the profit function. Another primary manipulating variable, the process water feeding rate, was found to have no significant influence on the profit optimization within its normal operation range.