Dynamic modeling of coffee beans dryer

Modeling of processes is becoming a powerful tool for understanding their dynamic behavior. In coffee drying process, the current models are based on empiric approximations and fluid dynamic studies. These last models are very computationally demanding for control and dynamic analysis purposes. The proposed model is an approximation that permits prediction, optimization and control systems design without losing rigorousness. Model is based on conservative principles and causal equations. Model validation is qualitative and this model can be used for analysis and design.