Modeling and Control of Beer Fermentation for Optimal Flavor and Performance

Abstract Beer has been consumed for millennia and fermentation is crucial to the brewing process. The process requires bacteria, yeast, and carbohydrates. The temperature has the most significant influence on the beer quality as the fermentation temperature affects the fruitiness and acidity. In this work, a growth and a taste model are built for the beer fermentation process. The dynamic model simulation findings are compared and validated with industry data reported in the literature. The temperature must be regulated to maintain the consistency and flavor of the beer. The dynamic model determines the optimal controller settings for maximizing energy efficiency. To get the optimal taste profile, the proportional‐integral/proportional‐integral‐derivative controller is used to obtain optimal temperature control.