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Research Papers

A Study on the Optimization of an Air Dehumidification Desiccant System

[+] Author and Article Information
Hassan Pahlavanzadeh

e-mail: Pahlavzh@modares.ac.ir
Chemical Engineering Faculty,
Tarbiat Modares University,
P.O. Box 14155-143,
Tehran, Iran

1Corresponding author.

Manuscript received June 2, 2012; final manuscript received January 19, 2013; published online September 27, 2013. Assoc. Editor: Zahid Ayub.

J. Thermal Sci. Eng. Appl 5(4), 041002 (Sep 27, 2013) (11 pages) Paper No: TSEA-12-1084; doi: 10.1115/1.4023972 History: Received June 02, 2012; Revised January 19, 2013

In this work an air dehumidification desiccant system is investigated. A two-dimensional unsteady state numerical model is developed for the simulation of the heat and mass transfer phenomena in a representative channel of a desiccant wheel. A set of operating cases with known experimental results are simulated with the numerical model. An acceptable agreement between the results experimentally and numerically predicted is found. Parametric studies are conducted regarding the influence of operating parameters on the performance of the desiccant wheel. The air dehumidification desiccant system is simulated in order to predict the electrical energy required for fan operation and to drive the wheel, as well as the thermal energy for the heating of the regeneration airflow. Several parametric studies are performed toward the characterization of optimum performance of the overall system considering two criteria as: (i) the minimization of the humidity ratio of the supply process air and (ii) minimization of the specific adsorption energy. The optimum point of case one is at the lowest wheel speed (4 Rph) and middle regeneration temperature (97 °C) whereas for case two, the optimum point happens at the highest regeneration temperature, regeneration flow rate desiccant wheel speed, and moderate process volume airflow (0.65 m/s).

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References

Figures

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Fig. 1

Schematic view of DW (a) cross sectional (b) longitudinal sectional of channel

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Fig. 2

Schematic view of a DW system

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Fig. 3

Validation of transient numerical result with Dai et al. [12] result

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Fig. 4

Effect of regeneration air velocity on outlet process air humidity ratio and temperature

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Fig. 5

Effect of regeneration air velocity on effectivenesses of DW

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Fig. 6

Effect of regeneration air velocity on DWS specific adsorption energy and power consumption

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Fig. 7

Effect of regeneration air temperature on effectivenesses of DW

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Fig. 8

Effect of regeneration air temperature on DWS specific adsorption energy and power consumption

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Fig. 9

Effect of process air velocity on outlet process air humidity ratio and temperature

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Fig. 10

Effect of process air velocity on effectivenesses of DW

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Fig. 11

Effect of process air velocity on DWS specific adsorption energy and power consumption

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Fig. 12

Effect of DW rotational speed on effectivenesses of DW

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Fig. 13

Effect of DW rotational speed on DWS specific adsorption energy and power consumption

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Fig. 14

Flow chart of energy optimization of desiccant wheel

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