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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...
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