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Thermodynamic analysis of a direct expansion solar-assisted heat pump system working with R290 as a drop-in substitute for R22

机译:使用R290与R290一起使用的直接扩展太阳能辅助热泵系统的热力学分析作为R22的替代品

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The thermodynamic analysis of direct expansion solar-assisted heat pump system working with R290 as a drop-in substitute for R22 was carried out under the metrological conditions of Calicut, India. A prototype of a DXSAHP system consists of a compressor, an air-cooled condenser with evaporator-collector and thermostatic expansion valve. The experiments were carried during the winter months of 2016. The artificial intelligence technique artificial neural network integrated with genetic algorithm model was presented to predict energy and exergy performance of a system. The energy performance ratio of a system was found to be 5.75% higher and reduced heating capacity of about 6.8% when compared to R22. Similarly, the second law analysis (exergy analysis) of a total system working with R290 was found to be better when compared to baseline refrigerant. The selected alternative working fluid is a hydrocarbon and has zero ozone depletion and negligible global warming potential. Hence, R290 can be used as a drop-in substitute for R22 in DXSAHP systems.
机译:在印度奶酪的计量条件下,在印度奶粉的计量条件下进行了与R290作为R22替代品的直接扩展太阳能辅助热泵系统的热力学分析。 DXSAHP系统的原型由压缩机,带有蒸发器 - 集电器和恒温膨胀阀的空气冷却电容器组成。该实验是在2016年冬季携带的。提出了与遗传算法模型一体化的人工智能技术人工神经网络,以预测系统的能量和漏洞性能。与R22相比,该系统的能量性能比为5.75%,加热容量约为6.8%。类似地,与基线制冷剂相比,发现与R290一起使用的总系统的第二法律分析(Defergy分析)更好。所选择的替代工作流体是烃,并且具有零臭氧耗尽和可忽略的全球变暖潜力。因此,R290可以用作DXSAHP系统中R22的替代品。

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