Predictions of moisture removal rate and dehumidification effectiveness for structured liquid desiccant air dehumidifier |
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| Affiliation: | 1. Department of Mechanical and Industrial Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khod, Muscat 123, Oman;2. The Middle East Desalination Research Center, P.O. Box 21, Al-Kuwair 133, Oman;1. Renewable Energy Research Group (RERG), Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China;2. College of Civil Engineering, Hunan University, Changsha, 410082 Hunan, China;1. Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong;2. College of Urban Construction, Nanjing Tech University, Nanjing 210009, China;1. College of Civil Engineering, Hunan University, Changsha 410082, Hunan, China;2. Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Hunan University, Changsha 410082, Hunan, China;3. Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China;4. School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China;5. School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK |
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| Abstract: | In hot and humid climates such as in the Sultanate of Oman, the humidity puts extra load on the electric vapor-compression air conditioning (VAC) systems. Liquid and solid desiccants can reduce the moisture content of humid air and thus reduce the latent load imposed on the VAC systems. In the present work, the performance of air dehumidifiers using triethylene glygol (TEG) as desiccant was investigated. Three differently structured packing densities were used (77, 100 and 200 m2/m3). The performance of the dehumidifier was evaluated and expressed in terms of the moisture removal rate (mcond) and the dehumidifier effectiveness (εy). The experimental work was undertaken to study the effects of several influencing design factors on this performance. The design factors covered included the air and TEG flow rates, air and TEG inlet temperatures, inlet air humidity and the inlet TEG concentration. The desiccant flow rate investigated was much less than that covered in previous studies and the range of the inlet temperatures of air and desiccant was significantly wider. The objective this study was to use the multiple regression method and the principal component analysis to obtain statistical prediction models for the water condensation rate and the dehumidification effectiveness in terms of these design factors. The results of both techniques agree with each other affirmed that the desiccant flow rate, desiccant inlet concentration and air inlet temperature are the most significant variables in predicting mcond, whereas desiccant flow rate, air inlet temperature and packing density are the most significant variables in predicting εy. |
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