Optimizing Beverage Pasteurization Using Computational Fluid Dynamics

Abstract Computational fluid dynamics (CFD) is a powerful tool that uses computers in combination with applied mathematics to model and simulate fluid flow. CFD has been extensively applied in food processing for the design and optimization of equipment, and overall process control in baking ovens, spray dryers, chillers, heat exchangers, and other systems that are otherwise tedious using conventional approaches. Pasteurization in beer processing is usually a thermal treatment involving inactivation of spoilage microorganisms so as to extend its shelf life. Being an energy-intensive process and one that carries utmost significance in terms of the safety of the end product, beer pasteurization is a complex process requiring stringent control over process and product variables. CFD analysis of beer pasteurization has been effectively used to determine heat distribution patterns and to precisely identify the slowest heating zone within the bottle. Several researchers have modeled the process considering a model fluid or beer itself and the brewery industry can successfully use such research approaches to have a precise control over the pasteurization process and thereby contribute to quality assurance. This chapter elaborates such approaches and presents the potential of CFD as an optimization tool for the beverage industry.