ABSTRACT
The temperature field, which is closely related to the airflow field in cold storage rooms, affects the quality of stacked agricultural products. In this chapter, we develop a CFD model to investigate the cooling performance of a partially loaded cold store during the cooling process and storage of agricultural produce. We present the effectiveness of a CFD model that predicts storage room air velocity and temperature distribution toward improving cooling efficiency. And we present how to model the heat and mass transfer within the stacked agricultural produce assuming porous media. Since some fruits are greatly sensitive to ethylene during storage, we need to remove it using absorbents or chemical reactors. In this case, the chemical species transport model with a phase change or chemical decomposition reaction is useful to predict and control ethylene gas. The models introduced in Chapter 5 will help to understand and improve the cooling performance of refrigerated rooms for agricultural produce during the cooling process and storage.
