A study on vapor transport characteristics in hollow-fiber membrane humidifier with empirical mass transfer coefficient

Vu, Hoang Nghia; Nguyen, Xuan Linh; Han, Jae‐Young; Yu, Sangseok

doi:10.1016/j.ijheatmasstransfer.2021.121549

Cited by 14 publications

(4 citation statements)

References 20 publications

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“…In the literature, mainly two types of membrane humidifiers for PEM fuel cell systems are investigated and discussed: hollow fibre and flat membrane modules. Park et al [10] and Vu et al [11] analyse the water transfer of hollow fibre humidifiers experimentally. Furthermore, water transfer in flat membrane humidifiers is studied experimentally by [12,13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier

et al. 2023

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To achieve high efficiency and low degradation of a polymer electrolyte fuel cell (PEMFC), it is necessary to maintain an appropriate level of humidification in the fuel cell membrane. Thus, membrane humidifiers are typically used in PEMFC systems. Parameter studies are important to evaluate membrane humidifiers under various operating conditions to reduce the amount of physical tests. However, simulative studies are computationally expensive when using detailed models. To reduce the computational cost, surrogate models are set up. In our study, a 3D computational fluid dynamics (CFD) model of a hollow fibre membrane humidifier is presented and validated using measurement data. Based on the results of the validated CFD model, a surrogate model of the humidifier is constructed using proper orthogonal decomposition (POD) in combination with different interpolation methods. To evaluate the surrogate models, their results are compared against reference solutions from the CFD model. Our results show that a Halton design combined with a thin-plate-spline interpolation results in the most accurate surrogate humidifier model. Its normalised mean absolute error for 18 test points when predicting the water mass fraction in the membrane humidifier is 0.58%. Furthermore, it is demonstrated that the solutions of the POD model can be used to initialise CFD calculations and thus accelerate the calculation of steady state CFD solutions.

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Section: Introductionmentioning

confidence: 99%

Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier

et al. 2023

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“…Therefore, there were 5 4 cases of tests that should be carried out for developing an empirical correlation. About 3 to 3.5 h were necessary to conduct a case of experiments, so the entire experiment completion would need about 2000 h. However, the deviation in the previous study [ 8 , 17 ] was still high in fitting the water vapor diffusion with R 2 from 0.85 to 0.9. Thus, the ANN model could be used to predict the mass transfer performance of the module after collecting the data from about a hundred experimental cases.…”

Section: Introductionmentioning

confidence: 97%

“…Chen [ 7 ] presented the effect of channel structure on the performance of a membrane humidifier via heat and water flux, water recovery ratio, and pressure loss. Vu et al [ 8 ] proposed an empirical correlation of the overall mass transfer coefficient to predict the performance of a hollow-fiber membrane module used for a vehicular fuel cell system. This coefficient is sensitive to the input parameters such as temperature, pressure, relative humidity, and air flow rate.…”

Section: Introductionmentioning

confidence: 99%

A Correlation of Overall Mass Transfer Coefficient of Water Transport in a Hollow-Fiber Membrane Module via an Artificial Neural Network Approach

et al. 2022

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Water transport in a hollow-fiber membrane depends on mass convection around the tube, mass convection inside the tube, and water diffusion through the membrane tube. The performance of water transport is then explained by the overall mass transfer coefficient in hollow-fiber membranes. This study presents the prediction of overall mass transfer coefficients of water transport in a hollow-fiber membrane module by an artificial neural network (ANN) that is used for a humidifier of a vehicular fuel cell system. The input variables of ANN are collected from water transport experiments of the hollow-fiber membrane module that is composed of inlet flow rates, inlet relative humidity, system pressures, and operating temperatures. The experimental mass transfer coefficients are the targets of the training model, which are determined via the effectiveness analysis. When unknown data are applied to the ANN model, the correlation of the overall mass transfer coefficient predicts precise results with R = 0.99 (correlation coefficient). The ANN model shows good prediction capability of water transport in membrane humidifiers.

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“…Hollow fiber membrane technology has become key in the fields of environmental protection, resource recovery, the new energy industry, and the upgrading of traditional industries. In recent years, hollow fiber membrane modules have become widely used in wastewater treatment [1][2][3], membrane extraction [4][5][6][7], gas separation [8][9][10], and air humidification [11][12][13][14][15] and dehumidification processes [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Flow-Induced Vibration on Heat and Mass Transfer Performance of Hollow Fiber Membranes in the Humidification/Dehumidification Process

et al. 2021

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Cross-flow hollow fiber membranes are commonly applied in humidification/dehumidification. Hollow fiber membranes vibrate and deform under the impinging force of incoming air and the gravity of liquid in the inner tube. In this study, fiber deformation was caused by the pulsating flow of air. With varied pulsating amplitudes and frequencies, single-fiber deformation was investigated numerically using the fluid–structure interaction technique and verified with experimental data testing with a laser vibrometer. Then, the effect of pulsating amplitude and frequency on heat and mass transfer performance of the hollow fiber membrane was analyzed. The maximum fiber deformation along the airflow direction was far larger than that perpendicular to the flow direction. Compared with the case where the fiber did not vibrate, increasing the pulsation amplitude could strengthen Nu by 14–87%. Flow-induced fiber vibration could raise the heat transfer enhancement index from 13.8% to 80%. The pulsating frequency could also enhance the heat transfer of hollow fiber membranes due to the continuously weakened thermal boundary layer. With the increase in pulsating amplitude or frequency, the Sh number or Em under vibrating conditions can reach about twice its value under non-vibrating conditions.

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A study on vapor transport characteristics in hollow-fiber membrane humidifier with empirical mass transfer coefficient

Cited by 14 publications

References 20 publications

Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier

Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier

A Correlation of Overall Mass Transfer Coefficient of Water Transport in a Hollow-Fiber Membrane Module via an Artificial Neural Network Approach

The Effect of Flow-Induced Vibration on Heat and Mass Transfer Performance of Hollow Fiber Membranes in the Humidification/Dehumidification Process

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