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Condensation heat transfer and pressure drop correlations in plate heat exchangers for heat pump and organic Rankine cycle systems

机译:热泵和有机朗肯循环系统板式热交换器中的冷凝传热和压降相关性

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摘要

An accurate prediction method of flow condensation heat transfer in plate heat exchangers is important for the design of condensers. The existing prediction methods are semi-empirical correlations, whose applicability highly rely on the range of original test data used for the correlation development. In this study, prediction methods of frictional pressure drop and heat transfer coefficient of flow condensation in a plate heat exchanger which were tailored for the applications in heat pump and organic Rankine cycle systems, were developed. We conducted a comprehensive experimental investigation, building a database including 283 data points for both pressure drop and heat transfer. We tested seven working fluids, classified by hydrofluorocarbons - R134a, R236fa and R245fa, hydrofluoroolefins - R1234ze(E) and R1233zd(E), and hydrocarbons - propane and isobutane, for a wide range of condensation temperatures varying from 30 degrees C to 90 degrees C. Two dimensionless numbers, the density ratio of liquid phase to vapour phase and the Bond number, were involved for developing the new prediction methods. The paper presents data for higher temperatures than those presented in previous works, and novel analysis and prediction methods. The new correlations achieve an improved prediction, enabling an 8.9% and a 10.3% mean absolute percentage deviation for heat transfer and pressure drop data, respectively.
机译:准确预测板式换热器内流动冷凝换热对冷凝器的设计具有重要意义。现有的预测方法是半经验相关性,其适用性高度依赖于用于相关性开发的原始测试数据的范围。本研究开发了适用于热泵和有机朗肯循环系统的板式换热器内流动冷凝的摩擦压降和传热系数预测方法。我们进行了全面的实验研究,建立了一个包含283个压降和传热数据点的数据库。我们测试了七种工作液,按氢氟碳化合物分类——R134a、R236fa和R245fa,氢氟碳化合物——R1234ze(E)和R1233zd(E),以及碳氢化合物——丙烷和异丁烷,冷凝温度范围从30摄氏度到90摄氏度不等。两个无量纲数,液相与汽相的密度比和键数,参与开发新的预测方法。本文介绍了比以前工作中提出的温度更高的数据,以及新的分析和预测方法。新的关联式实现了改进的预测,使得传热和压降数据的平均绝对百分比偏差分别为8.9%和10.3%。

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