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A comprehensive approach to find the performance map of a heat pump using experiment and soft computing methods

机译：使用实验和软计算方法找到热泵性能图的综合方法

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摘要

A novel systematic practical approach to simulate the performance of heat pumps precisely is presented. In the proposed method, by conducting a number of experiments as well using soft computing techniques, the operation of all of the components is modeled comprehensively. The application of the method is examined for an experimental setup. The effective adjustable parameters are selected in a way that enabled them to be changed freely in the experimental setup. The Mean absolute error of prediction of coefficient of performance for validation measured experimental data is only 2.95%. In addition, to provide a comprehensive insight, an extensive sensitivity analysis considering nine performance parameters, such as mass flow rate of refrigerant and pressure drop of condenser, is conducted. It is found that the minimum possible is the best value of inlet temperature of water of condenser. Moreover, for inlet temperature of water of evaporator, frequency of compressor and degree of superheating which are the other adjustable effective parameters trade-offs among performance parameters are observed. For example, increasing the degree of superheating led to improve required work and isentropic efficiency of compressor as well as coefficient of performance and pressure drop of condenser, while it decreased the delivered heat.
机译：提出了一种新颖的系统实用方法来精确模拟热泵的性能。在提出的方法中，通过使用软计算技术进行大量实验，对所有组件的操作进行了全面建模。检查该方法的应用以进行实验设置。选择有效有效可调参数的方式使其可以在实验设置中自由更改。验证测得的实验数据的性能系数预测的平均绝对误差仅为2.95％。此外，为提供全面的见解，还进行了考虑九种性能参数的广泛灵敏度分析，例如制冷剂的质量流量和冷凝器的压降。发现冷凝器水的进口温度的最佳值是最小的。此外，对于蒸发器水的入口温度，观察到压缩机频率和过热度是在性能参数之间的其他可调节有效参数的折衷。例如，增加过热度可以改善压缩机的所需功和等熵效率，以及冷凝器的性能系数和压降，同时减少所传递的热量。

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