A STATISTICAL ANALYSIS OF A PACKED TOWER DEHUMIDIFIER |
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| Authors: | Brian McDonald D.G. Waugaman C.F. Kettleborough |
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| Affiliation: | Brian McDonald, D.G. Waugaman, C.F. Kettleborough Departments of MechanicaI Engineering and Engineering Technology Texas ALM University , College Station , Texas |
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| Abstract: | ABSTRACT A dehumidifier is the heart of a liquid desiccant cooling system. In these systems, air is dehumidified using liquid desiccants and cooled with heat exchangers and/or evaporative coolers [I]. A Statistical Analysis Software (SAS) regression analysis was performed on experimental data from a packed tower desiccant dehumidifier tested at Texas Tech. The purpose of this analysis was to determine simple functional relationships for the liquid desiccant dehumidifier for use in computer models of liquid desiccant space cooling systems. Six factors and four dependent variables were defined and four regression models were determined. These regression models were reduced to three factor models. The packed tower regression analysis showed Texas Tech's “Cost Effective Liquid Desiccant” (CELD) to be a well behaved stable desiccant solution. |
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| Keywords: | Diffusion-type model Drying kinetics Effective diffusivity Isotherms |
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