Erratum: Numerical modeling and performance analysis of a membrane-based air dehumidifier using ionic liquid desiccant (Applied Thermal Engineering (2020) 175, (S1359431119365317), (10.1016/j.applthermaleng.2020.115395))

Xiaoli Liu, Ming Qu, Xiaobig Liu, Lingshi Wang, Joseph Warner, Zhiming Gao

Research output: Contribution to journalComment/debate

5 Scopus citations

Abstract

Membrane-based Liquid Desiccant Air Dehumidifier (MLDAD) has the potential to overcome the shortcomings of the conventional open-tower liquid desiccant air dehumidifier. The MLDAD uses membranes with high water vapor permeability to separate air stream from the liquid desiccant and thus eliminates carry-over and the resulting corrosion issues. Recently, the ionic liquid desiccant becomes a promising alternative to conventional liquid desiccant. The ionic liquid desiccant has a large potential of dehumidification, which is also non-corrosive to metals and non-crystallizable. A two-dimensional numerical heat and mass transfer model of the MLDAD using a recently identified ionic liquid desiccant, [EMIM]OAc, is presented in this paper. This model can simulate the performance of the MLDAD with various designs, including different selections of liquid desiccant and membrane materials, dimensions of the MLDAD, and flow patterns. For porous membranes, this model accounts for several micro-scale mass transfer mechanisms of vapor transportation across the membrane. It can also model the mass transfer performance of dehumidifiers using non-porous membranes based on the experimentally measured membrane permeance. The numerical model was validated against the performance data available from literature and experimental tests. The maximum discrepancy of the latent effectiveness between the measured and the model-predicted results was about 6% when porous membranes were used. A parametric study was conducted with the numerical model. The results indicated that the membrane permeability, air path height, and solution to air mass ratio were the most critical parameters, determining the dehumidification performance of the MLDAD.

Original languageEnglish
Article number115754
JournalApplied Thermal Engineering
Volume181
DOIs
StatePublished - Nov 25 2020

Funding

This work was supported by the Emerging Technologies Program of the Buildings Technology Office at the US Department of Energy ; Xergy, a small business technology inventor.

FundersFunder number
U.S. Department of Energy
Building Technologies Office

    Keywords

    • Air dehumidifier
    • Ionic liquid desiccant
    • Membrane
    • Numerical modeling

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