Prediction of evaporation losses in evaporative fluid coolers |
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| Affiliation: | 1. Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China;2. State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming, Yunnan 650093, China;3. Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China;1. College of Power Engineering, Nanjing University of Science and Technology, 210094 Nanjing, PR China;2. School of Energy and Environment, Southeast University, 210096 Nanjing, China;3. Nanjing Water Group Co., Ltd, 210000 Nanjing, PR China;1. Institute of Technical Thermodynamics, RWTH Aachen University, Schinkelstraße 8, 52062 Aachen, Germany;2. Institute for Mathematical Optimization, Technische Universität Carolo-Wilhelmina zu Braunschweig, Universitätsplatz 2, 38106 Braunschweig, Germany;3. Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany;1. Mechanical Engineering Department, Faculty of Engineering, University of Isfahan, Isfahan, Iran;2. Mechanical Engineering Department, School of Energy, Kermanshah University of Technology, Kermanshah, Iran |
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| Abstract: | The accurate prediction of various aspects of thermal behavior of evaporative fluid coolers is very important for both design and rating calculations. Exactly predicting evaporation losses is significant since the process fluid is cooled primarily by evaporation of a portion of the recirculating water that causes the concentration of dissolved solids and other impurities to increase. An empirical relation to predict evaporation losses is developed on the basis of the rule of thumb recommended by manufacturers, which is simple and accurate with a wide range of applicability. The predicted values are in good agreement with the numerical values obtained from the calibrated model where the maximum error was found to be approximately 4% but often less than 2%. |
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