Dynamic modeling of a liquid desiccant dehumidifier. (15th October 2016)

• Record Type: Journal Article
• Authors: Li, Xian; Liu, Shuai; Tan, Kok Kiong; Wang, Qing-Guo; Cai, Wen-Jian; Xie, Lihua
• Is Part Of: Applied energy. Volume 180(2016)
• Page Start: 435
• Page End: 445
• Publication Date: 2016-10-15
• Subjects: Liquid desiccant dehumidifier -- Dynamic model -- LMA -- EKF; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2016.07.085
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A simplified dynamic model is proposed for a liquid desiccant dehumidifier. The heat and mass transfer processes are analyzed in detail. A combined LMA and EKF algorithm is used for the parameters estimation. The modeling quality is validated through experiment. The proposed model can be easily linearized into the state space form. Abstract: The liquid desiccant dehumidification system is becoming a hotspot in air dehumidification due to its promising prospects. Many models have been reported in the literature, but they are rarely applicable to control design due to various reasons. In this paper, a simplified dynamic model of liquid desiccant dehumidifier is proposed from a control point of view based on the heat and mass transfer principles, where the spatial differentials of fluid properties are approximated by discretization and dynamic interaction along the flow direction. Unknown model parameters are first estimated from static experimental data through the Levenberg-Marquardt algorithm and then refined from dynamic experimental data through the extended Kalman filter. The proposed model performs well in the experimental validation and is expected to be applied in a future control design and fault diagnosis application.