Empirical correlations to predict the performance of the dehumidifier using liquid desiccant in heat and mass transfer

Liu, X.H.; Qu, K. Y.; Jiang, Yu-Qiang

doi:10.1016/j.renene.2005.08.029

Cited by 64 publications

(18 citation statements)

References 18 publications

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“…Dehumidifier and regenerator, as very essential components of the liquid desiccant air-conditioning system, were studied theoretically and experimentally in past decades [2,3]. Peng and Zhang [4] designed a new solar liquid collector/regenerator, and simulation results showed that regeneration efficiency increased by 45.7%.…”

Section: Introductionmentioning

confidence: 99%

Suggested solution concentration for an energy-efficient refrigeration system combined with condensation heat-driven liquid desiccant cycle

2015

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a b s t r a c tThis paper presents a hybrid energy-efficient refrigeration system enhanced by liquid desiccant evaporative cooling technology for subcooling the refrigerant, where the liquid desiccant cycle is driven by the exhausted heat from the condenser and three commonly used liquid desiccants: LiCl, LiBr and CaCl 2 aqueous solutions are considered here. The solution concentration for the proposed hybrid energyefficient refrigeration system should be determined and optimized carefully for better performance. Sensitive study of solution concentration involved in the hybrid system is conducted at different condensation temperature. The results indicates that under standard working condition (i.e., condensing temperature is 50 C), the optimum solution concentration is 0.31 for LiCl aqueous solution, 0.45 for LiBr aqueous solution and 0.42 for CaCl 2 aqueous solution, while the maximum COPs are nearly same. When the condensing temperature is 45 C, the optimum solution concentration should be set at 0.27 for LiCl aqueous solution, and 0.41 for LiBr aqueous solution and 0.37 for CaCl 2 aqueous solution, while condensing temperature is 55 C, it is 0.35 for LiCl aqueous solution, 0.49 for LiBr aqueous solution and 0.45 for CaCl 2 aqueous solution. The simple fitting formulas are obtained, and performance improvement potential is discussed.

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Section: Introductionmentioning

confidence: 99%

Counter Flow Adiabatic Regenerator and Comparative Study

Koronaki

2015

Int. J. Thermo

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Liquid desiccant air conditioning systems have recently been attracting attention due to their capability of handling the latent load without super-cooling and then reheating the air, as happens in a conventional compression-type air conditioning system. This paper presents the results from a performance study of the simultaneous heat and mass transfer between air and liquid desiccant in an adiabatic, counter flow, structured packed regenerator. A heat and mass transfer numerical model has been developed, based on the Runge-Kutta non-stiff fixed step method, to predict the performance of the device under various operating conditions. Good agreement was found between the theoretical model and experimental tests from previous studies, with the deviation range being ±6.2% in air outlet temperature, ±8.1% in air outlet humidity ratio and ±1.4% in solution outlet temperature. Important design variables are also defined. The effects of air and desiccant flow rates, air humidity ratio, desiccant temperature and concentration have been reported on the regeneration rate and regeneration effectiveness. A detailed sensitivity analysis has been implemented to indicate which input variables mostly affect the output conditions. The three most commonly used liquid desiccant solutions, namely LiCl, LiBr and CaCl2 were evaluated against each other. The results show that high regeneration efficiency could be achieved under high desiccant mass flow rates, high air mass flow rate, high desiccant inlet temperature, low desiccant inlet concentration and CaCl2 as the desiccant solution.

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“…Dai and Zhang [4] built up a mathematical model to predict the performance of a liquid desiccant air dehumidifier with honeycomb as a packed bed. Liu et al [5] estimated the hour-hour performance of the dehumidifier using a simplified method with empirical correlations.Mohammad et al [6] proposed an artificial neural network model (ANN) for predicting the performance of a liquid desiccant dehumidifier in terms of moisture removal rate and the effectiveness. The results show that 6-3-3-1 ANN structure was the best model for predicting the watercondensation rate, where as the 6-6-6-1 was the best model for predicting the dehumidifier effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Computer Simulation of Heat and Mass Transfer in a Cross Flow Parallel-Plate Liquid Desiccant-Air Dehumidifier

Mohammad

Mat²,

Sulaiman³

et al. 2014

Progress in Sustainable Energy Technologies Vol II

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A MATLAB program using finite difference technique is investigated to predict the distribution of air stream parameters as well as desiccantsolution parameters inside the parallel plate absorber. The present absorber consists of 14 parallel plates with a surface area per unit volume ratio of 80 m 2 /m 3 . Calcium chloride as a liquid desiccant flows through the top of the plates to the bottom while the air flows through the gap between the plates making it a cross flow configuration. The model results show the effect of desiccant mass flow rate on the performance of the dehumidifier (moisture removal rateand the effectiveness). The results show that the maximum temperature and humidity ratio differences of the air are 2.56 C and 11 g/Kg with a maximum solution mass flow rate of 160 g/s. The maximum temperature and minimum concentration differences of solution in the direction flow of solution are 3.185 C and 0.34 % with a maximum solution mass flow rate of 160 g/s. The moisture removal rate increases rapidly with solution flow rate from 1.41 to 2.196 g s À1 , but the moisture removal stagnates at high desiccant solution mass flow rates. The effectiveness achieves an increase of 0.39-0.66 when the solution mass flow rate increases from 30 to 160 g s À1 .

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Empirical correlations to predict the performance of the dehumidifier using liquid desiccant in heat and mass transfer

Cited by 64 publications

References 18 publications

Suggested solution concentration for an energy-efficient refrigeration system combined with condensation heat-driven liquid desiccant cycle

Suggested solution concentration for an energy-efficient refrigeration system combined with condensation heat-driven liquid desiccant cycle

Counter Flow Adiabatic Regenerator and Comparative Study

Computer Simulation of Heat and Mass Transfer in a Cross Flow Parallel-Plate Liquid Desiccant-Air Dehumidifier

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