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Heat transfer and friction characteristics of crimped spiral finned heat exchangers with dehumidification
Affiliation:1. Mae Moh Training Center, Electricity Generating Authority of Thailand, Mae Moh, Lampang 52220, Thailand;2. Department of Mechanical Engineering, Chiang Mai University, Chiang Mai 50202, Thailand;3. Energy & Resources Laboratories, Industrial Technology Research Institute, Hsinchu 310, Taiwan, ROC;1. Division of Technology for Energy Systems and Renewable Energy, Bavarian Center for Applied Energy Research, 85748 Garching, Germany;2. Institute for Energy Systems, Faculty of Mechanical Engineering, Technical University Munich, 85748 Garching, Germany;3. School of Power and Mechanical Engineering, Wuhan University, 430072 Wuhan, China;4. School of Civil Engineering, Hunan University of Technology, 412007 Zhuzhou, China;1. School of Mechanical Engineering, Korea University, Seoul 136-701, Republic of Korea;2. Department of Mechanical Engineering, Kookmin University, Seoul 136-702, Republic of Korea
Abstract:This study experimentally examines the air-side performance of a total of 10 cross flow heat exchangers having crimped spiral configurations under the dehumidification. The effect of tube diameter, fin spacing, fin height, transverse tube pitch, and tube arrangements are examined. The results indicate that the heat transfer coefficient of wet surface is slightly lower than that of dry surface. The effect of tube diameter on the air-side performance is significant. Larger tube diameter not only gives rise to lower heat transfer coefficient but also contributes significantly to the increase of pressure drops. This phenomenon is applicable in both dry and wet condition. For wet surface, the influence of fin height is negligible and the effect of fin spacing on the heat transfer performance is rather small. However, increasing of the fin spacing tends to have a lower heat transfer coefficient. The tube arrangement plays an importance role on the heat transfer coefficient, narrower transverse pitch gives higher heat transfer coefficient. The proposed correlations can predict 75% and 95% of experimental data within 15%.
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