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Publication

A Modeling Tool to Analyze the Performance of Industrial Cooling Towers...

by Josh Hooper, Ethan Languri, Glenn Cunningham, Wei Guo
Publication Type
Conference Paper
Journal Name
ASME 2021 International Mechanical Engineering Congress and Exposition
Book Title
Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition
Publication Date
Page Numbers
1 to 10
Issue
1
Publisher Location
New York, United States of America
Conference Name
2021 ASME International Mechanical Engineering Congress and Exposition (IMECE)
Conference Location
Virtual, Tennessee, United States of America
Conference Sponsor
NA
Conference Date
-

Energy efficiency and energy savings have become an important factor as industries look for ways to save energy and minimize their energy consumption while reducing their carbon footprint. Cooling towers are utilized significantly in industries for either serving chillers or process cooling. Depending on the size of the cooling tower, it can use a surprising amount of energy and water, which is why it is crucial to make sure that the facility has optimized their cooling tower.
A modeling tool has been developed to perform a thorough analysis of a cooling tower and its various operations to ensure that the facility has optimized its cooling tower. This model analyzes an annual base case in comparison with the revised case of a cooling tower operation. This modeling tool simulates 8,760 hourly calculations for fan power for various fan controls, water consumption, and pumping energy consumption and demand based on the user’s location and its corresponding Typical Meteorological Year 3 (TMY3) weather data. This model is capable to simulate up to five cooling tower cells as one large tower utilizing one pump or parallel pumping. The successful validated cooling tower model should assist industry to save energy at their facility through their cooling tower, whether they use it for process cooling or heating, ventilation and air conditioning (HVAC) applications. The entering/leaving water temperatures based on a monthly operating schedule or a wet-bulb temperature schedule will be used as inputs, and the model can calculate savings in energy for various conditions including variable-frequency drive (VFD) on the fan/pump, drift eliminators, number of cycles of concentration, reduced water flow rate, etc.