Experimental analysis of dehumidification performance of counter and cross-flow liquid desiccant dehumidifiers

Cho, Hye Jin; Cheon, Seong Yong; Jeong, Jae-Weon

doi:10.1016/j.applthermaleng.2019.01.006

Cited by 48 publications

(10 citation statements)

References 29 publications

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“…Pressure across the pad was found to be 653 Pa. Cho et al. 20 worked on counter and crossflow dehumidification system where Celdek 7090–15 was used as the packing material and the aqueous LiCl solution as the desiccant. Highest DE obtained was in the range of 60 to 70%.…”

Section: Introductionmentioning

confidence: 99%

Assessment of process parameters in a dehumidification process using biomass-based wood shaving as a packing material

Salins

Reddy

2021

Indoor and Built Environment

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In the current study, the performance of the counterflow dehumidification test rig using wood shaving packing has been analysed. Wood shaving packing with the density 500 kg/m3 was used along with the CaCl2 desiccant with varying concentration. Mass flow rate of air was varied and the dehumidification performance parameters like moisture removal rate, dehumidification efficiency, coefficient of performance, change in relative humidity, change in the pressure and mass transfer coefficient were evaluated. Output parameters were compared with the commercially available cellulose packing with the wettability of 632 m2/m3. Results showed that, even though the performance of wood shaving packing is slightly less than the Celdek packing, performance of wood shaving is promising at 40% desiccant solution concentration. Maximum relative humidity difference, coefficient of performance and dehumidification efficiency obtained with wood shaving pad material were found to be 19%, 1.88 and 69.5%, respectively.

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Section: Introductionmentioning

confidence: 99%

Assessment of process parameters in a dehumidification process using biomass-based wood shaving as a packing material

Salins

Reddy

2021

Indoor and Built Environment

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“…iccant dehumidification system with latent effectiveness of 0.25-0.43 and the sensible effectiveness of 0.31-0.52. Cho et al [8] conducted a series of experiments and found that the cross-flow liquid desiccant dehumidifier has stable dehumidification performance regardless of the variations in operating parameters, but the crossflow dehumidifier performance is effected by temperature and humid process air conditions. Bai et al [9] experimentally investigated the performance of the membrane-based liquid desiccant dehumidification system with calcium chloride.…”

Section: E-mail Addressesmentioning

confidence: 99%

Statistical investigation of a dehumidification system performance using Gaussian process regression

Akhlaghi

Zhao

Shittu

et al. 2019

Energy and Buildings

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Swift performance assessment of dehumidification systems, in design stage and while operation of the system is of substantial importance for commercialization and wide implementation of this technology. This paper presents a novel statistical model, employing Gaussian Process Regression (GPR) to investigate performance of a solar/waste energy driven dehumidification/regeneration cycle with a solid adsorbent bed. The statistical model takes thousands of operating conditions derived from a numerical model to predict the performance of the system. This predictive tool directly correlates the main operating parameters with the performance parameters of the system. The operating parameters considered in this study are: temperature, relative humidity and flow rate of process air, temperature of regeneration air, length of the desiccant bed, solar radiation intensity and operating time, and the selected performance parameters are: moisture extraction efficiency for the dehumidification cycle and moisture removal efficiency for the regeneration cycle. The model is evaluated by three metrics, namely: root mean square error (RSME), mean absolute percentage error (MAPE), and coefficient of determination (R 2). The maximum RSME and MAPE for moisture extraction are only 0.045, 0.21%, and for moisture removal efficiencies are 0.082 and 0.39%, respectively, while the R 2 value is derived as 0.97. The developed model is used to investigate the impact of four selected operating parameters on system performance. Additionally, the system performance is predicted for randomly generated operating conditions as well as warm and humid climates. The developed GPR model provides a swift and highly accurate predictive tool for design of the dehumidification systems and for commercialization of the investigated dehumidification systems.

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“…10 and 11. Additionally, increasing the relative humidity results in the increase of the air concentration [36]. Equation (14) is defined as follows:…”

Section: Effects Of Humidity and Temperaturementioning

confidence: 99%

Performance optimization of polymeric porous membrane-based liquid desiccant air dehumidifier used in air conditioning system

Jafarpour

Fazelpour

Mousavi

2019

Int J Energy Environ Eng

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In this study an experimental design was developed to optimize the performance and structure of a membrane-based parallelplate liquid desiccant dehumidifier used in air conditioning regeneration system which operates under high humidity weather conditions. We conducted a series of polymeric porous membranes with different compositions fabricated that were prepared with various weight percentages of polysulfone (PSU), mixed with N-methyl-2-pyrrolidone (NMP) and dimethyl form amide (DMF) solvents. Furthermore, the designed experiments were performed under various operating conditions, indicating that the dehumidification efficiency declines with increasing flow rate, temperature, and humidity. Consequently, a membrane with optimized porosity and moisture permeability was selected which resulted in eliminating the carryover of solution droplets in the air, largely due to separating the flow condition of liquid desiccant (Li Cl) and air. This specific design is also greatly benefited by removing the water vapor from the air stream. The results of mathematical model simulations indicate that the DMF solvent had higher dehumidification capability compared with that of NMP under the optimized operating conditions. Additionally, it can clarify the porosity of the membrane which plays a significant role in the overall performance. Therefore, the fabricated membrane produces fresh cool air, and it can be applied as a guiding sample for designing the membrane-based dehumidifier with improved performance.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Experimental analysis of dehumidification performance of counter and cross-flow liquid desiccant dehumidifiers

Cited by 48 publications

References 29 publications

Assessment of process parameters in a dehumidification process using biomass-based wood shaving as a packing material

Assessment of process parameters in a dehumidification process using biomass-based wood shaving as a packing material

Statistical investigation of a dehumidification system performance using Gaussian process regression

Performance optimization of polymeric porous membrane-based liquid desiccant air dehumidifier used in air conditioning system

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