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Simple method for estimation of performance characteristics of cooling towers

机译:估算冷却塔性能的简单方法

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摘要

Cooling towers are among the most important and biggest heat and mass transfer devices that are in widespread use. They are commonly used in large cooling systems to reject the waste heat, such as buildings to atmosphere via a water loop between two devices. In this work, a simple to use predictive tool is presented to estimate the performance characteristics of various types of cooling towers as a function of cold water temperature, wet bulb temperature and temperature difference range. The performance characteristics of various types of towers will vary with height, fill configuration and flow arrangement (cross-flow or counterflow). However, these factors have been taken into consideration in the present work while developing a predictive tool. The proposed predictive tool works well for cold water temperatures ranging between 15 and 40℃ and wet bulb temperatures ranging from 10 to 30℃. The study shows that the proposed method has good agreement with the available reliable data in the literature. The average absolute deviation between reported data and the proposed predictive tool is -3%. The proposed method is superior owing to its accuracy and clear numerical background, wherein the relevant coefficients can be retuned quickly if more data become available in the future.
机译:冷却塔是被广泛使用的最重要和最大的传热和传质设备。它们通常用于大型冷却系统中,以通过诸如两个设备之间的水回路将废热排到大气中。在这项工作中,提出了一种易于使用的预测工具来估算各种类型的冷却塔的性能特征,这些特征是冷水温度,湿球温度和温差范围的函数。各种类型的塔的性能特征将随高度,填充结构和流布置(错流或逆流)而变化。但是,在开发预测工具时,当前工作已考虑到这些因素。所提出的预测工具适用于15至40℃的冷水温度和10至30℃的湿球温度。研究表明,该方法与文献中已有的可靠数据具有良好的一致性。报告的数据与建议的预测工具之间的平均绝对偏差为-3%。所提出的方法由于其准确性和清晰的数值背景而具有优越性,其中,如果将来有更多数据可用,则相关系数可以快速重调。

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