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Parametric analysis of a cross-flow membrane-based parallel-plate liquid desiccant dehumidification system: numerical and experimental data

Bai, Hongyu; Zhu, Jie; Chen, Ziwei; Chu, Junze

Parametric analysis of a cross-flow membrane-based parallel-plate liquid desiccant dehumidification system: numerical and experimental data Thumbnail


Authors

Hongyu Bai

ZIWEI CHEN ZIWEI.CHEN@NOTTINGHAM.AC.UK
Senior Research Fellow

Junze Chu



Abstract

Operating parameters of a membrane-based parallel-plate liquid desiccant dehumidification system are investigated in this paper. The liquid desiccant and air are in a cross-flow arrangement, and separated by semi-permeable membranes to avoid carry-over problem. A numerical model is developed to simulate the system performance, and validated by experimental and analytical results. Impacts of main operating parameters on the system performance (i.e. sensible, latent and total effectiveness) are evaluated, which include dimensionless parameters (i.e. solution to air mass flow rate ratio m^* and number of heat transfer units NTU), solution properties (i.e. concentration C_sol and temperature T_sol) and inlet air conditions (i.e. temperature T_(air,in) and relative humidity 〖RH〗_(air,in)). It is found that m^* and NTU are two of the most important parameters influencing the system effectiveness. Even though the system performance can be improved by m^*and NTU, its increasing gradient is limited when m^*and NTU exceed 1 and 4 respectively. Decreasing solution temperature does not make a great improvement to the system performance, however, increasing solution concentration is a good approach to enhance the latent effectiveness without influencing the sensible effectiveness. The system shows the broad adaptability in various weather conditions, and has the ability to provide relative stable state supply air.

Citation

Bai, H., Zhu, J., Chen, Z., & Chu, J. (2018). Parametric analysis of a cross-flow membrane-based parallel-plate liquid desiccant dehumidification system: numerical and experimental data. Energy and Buildings, 158, https://doi.org/10.1016/j.enbuild.2017.10.018

Journal Article Type Article
Acceptance Date Oct 4, 2017
Online Publication Date Oct 10, 2017
Publication Date Jan 1, 2018
Deposit Date Oct 6, 2017
Publicly Available Date Oct 11, 2018
Journal Energy and Buildings
Print ISSN 0378-7788
Electronic ISSN 1872-6178
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 158
DOI https://doi.org/10.1016/j.enbuild.2017.10.018
Keywords liquid desiccant, membrane-based, dehumidification, numerical modelling
Public URL https://nottingham-repository.worktribe.com/output/902104
Publisher URL http://www.sciencedirect.com/science/article/pii/S0378778817322909
Contract Date Oct 6, 2017

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