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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...
This paper presents a study on dynamic properties of mass transfer in dehumidifier of a Liquid Desiccant Dehumidification Systems (LDDS) through modeling, simulation analysis and experiment validation. As a vital component of air-conditioning system, LDDS can remove the moisture in process air. Based on the mass conservation principles, a dynamic model is developed to predict the humidity of the outlet...
This paper presents a soft-sensing method for predicting the liquid desiccant concentration based on the Extreme learning machine (ELM). The soft-sensing method utilizes a blackbox model including eight inputs variables and one output to predict the concentration in real-time and is a better alternative to manual measurement or expensive and complex sensors. The soft-sensing method is verified with...
Computational fluid dynamics (CFD) technique is employed to study the performance of ejector in the fuel delivery line of polymer electrolyte membrane (PEM) fuel cell system. Four different ejector geometries are established and tested under 34 different working conditions. It is found that the humidity at the ejector exit increases with the pressure ratio alphaP at first then decreases with it. The...
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