Experimental study and numerical simulation of coffee bean drying in packed beds with varying stack heights.

Abstract

This research aims to optimize the coffee bean drying process through numerical simulation using numerical computational tools. Drying coffee beans plays a crucial role in enhancing their quality and shelf life and contributing to food sustainability. The aim of this study was to develop an accurate and efficient simulation model to analyze the coffee bean drying process using the packed-bed drying method and variations in the stack height of coffee beans. The objectives of this research include achieving the lowest Specific Energy Consumption (SEC) to improve energy utilization efficiency and determining the value of the Ratio of Specific Energy Consumption (RSEC) by comparing drying processes with and without refrigeration systems. This research also considers the limitations of the drying air temperature and humidity used. The results demonstrate a strong correlation between the simulation model and experimental data regarding moisture content, providing insights into energy usage optimization for coffee bean drying. Refrigeration systems for coffee bean drying yield an RSEC value below 1, indicating good energy utilization efficiency. Thus, this research significantly contributes to the development of efficient and effective coffee bean drying methods.