A simple dynamic model of dehumidifier for control and optimization in LDDS

In this paper, a hybrid dynamic model of de-humidifier is proposed to predict heat and mass transfer process in packed-bed liquid desiccant dehumidification system. Based on the heat and mass balance principles, and using lumped parameters method, two difference equations with seven parameters for predict the outlet air temperature and humidity ratio are derived. The unknown model parameters are identified using linear and nonlinear least squares method with the experimental data. The experimental results show that the developed model provides a good accuracy to predict the real performance of dehumidification process with the maximum error of 10%. The proposed model will have wide applications in real-time monitoring, control and operational optimization.