Simplified effectiveness and number of transfer unit model for a vacuum membrane dehumidifier applied to air conditioning

Cheon, Seong-Yong; Cho, Hyejin; Jeong, Jae‐Weon

doi:10.1016/j.applthermaleng.2022.118404

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…Results also revealed that there is a trade‐off between the membrane selectivity and pressure ratio. By increasing the selectivity, the ratio of water vapor to air on the permeate side is less affected by vacuum pressure 36 …”

Section: Resultsmentioning

confidence: 99%

“…By increasing the selectivity, the ratio of water vapor to air on the permeate side is less affected by vacuum pressure. 36 The greater the rate at which water vapor is removed from the inlet humid air stream at the dehumidifier unit, the greater becomes the ability of the humidifier unit to reduce the air temperature and provide the air at a comfortable temperature range. Pressure ratio and membrane permeance are influential parameters for effective moisture removal from the humid air stream intake.…”

Section: Gray Relational Analysismentioning

confidence: 99%

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An insight into hybrid membrane‐based air conditioning system performance using gray relational analysis methods: Structural versus operational parameters

Hashemifard

Abdollahi

Khosravi

et al. 2022

Env Prog and Sustain Energy

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Various parameters have an impact on the fresh air temperature and input power of a hybrid membrane-based air conditioning (HMBAC) system, such as pressure ratio, membrane selectivity, membrane permeance, membrane area, air flowrate of the dehumidification unit, and module length, number of fibers, and fiber outer diameter of the humidification unit, which comprise both operational and structural parameters. Therefore, in this study, the effects of these parameters on the system performance are examined separately based on a statistical approach. The importance order of each parameter and its contribution ratio are determined by using Taguchi method and ANOVA analysis. The optimum level for each input parameter is determined using statistical analysis for the fresh air temperature and input power. Then, for the simultaneous minimization of fresh air temperature and input power Taguchigray relational grade (GRG) is used. GRG revealed that membrane selectivity, pressure ratio, and membrane permeance with the contribution ratio of 37.87%, 32.51%, and 10.55%, respectively, are the most critical parameters of the multiperformance of an HMBAC system. Interestingly dehumidification from a humid airflow can be more effective when membranes with low selectivity and high permeability are used.In conclusion, the optimization outputs disclosed that both structural and operational parameters have significant effects on the performance of the HMBAC system and this optimization can be a helpful tool for designing a HMBAC systems to cover the optimal conditions to develop a sustainable membrane-based air conditioning system.

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Section: Resultsmentioning

confidence: 99%

Section: Gray Relational Analysismentioning

confidence: 99%