Development of Environmentally - Friendly and Energy Efficient Refrigerant for Medium Temperature Refrigeration Systems

P. Saengsikhiao, J. Taweekun, K. Maliwan, Somchai Sae-ung, T. Theppaya
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引用次数: 7

Abstract

This research presents the development of environmentally-friendly and energy efficient refrigerant for medium temperature refrigeration systems that new azeotropic refrigerant mixture of hydrofluorocarbons and hydrocarbon that can retrofit in the refrigeration system using R404A. The medium back pressure refrigeration testing standard that follow CAN/ANSI/AHRI540 standard air-conditioning, heating, and refrigeration institute (AHRI) and The properties of refrigerants and refrigeration simulation system that used national institute of standards and technology (NIST) reference fluid thermodynamic and transport properties database (REFPROP) software and NIST vapor compression cycle model accounting for refrigerant thermodynamic and transport properties (CYCLE_D-HX) software. The methodology use decision tree function in datamining by rapid minor software that first of KDnuggets annual software poll that showed new azeotropic refrigerant mixture had cooling capacity, refrigerant effect, GWP and boiling point were lower than R404A but work and pressure for medium temperature refrigeration system of azeotropic refrigerant mixture were higher than R404A. The artificial intelligence (AI) by data mining technic can predictive environmentally-friendly and energy efficient refrigerant for medium temperature refrigeration. The result of refrigerant mixed by R134A, R32, R125 and R1270 and is consistent with the evolution of fourth-generation refrigerants that contain a mixture of HFCs and HCs which are required to produce a low-GWP, zero-ozone-depletion-potential (ODP), high-capacity, low-operating-pressure, and nontoxic refrigerant.
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中温制冷系统中环保节能制冷剂的研制
本研究介绍了一种环境友好、节能的中温制冷系统制冷剂的开发,这种新型的氢氟碳化合物和碳氢化合物的共沸混合物可以在R404A制冷系统中进行改造。介质背压制冷测试标准遵循CAN/ANSI/AHRI540标准的空调、采暖、该制冷特性模拟系统采用了美国国家标准与技术研究院(NIST)参考流体热力学和输运特性数据库(REFPROP)软件和NIST计算制冷剂热力学和输运特性的蒸汽压缩循环模型(CYCLE_D-HX)软件。该方法采用决策树函数,通过快速小软件进行数据挖掘,首先在KDnuggets年度软件调查中发现,新型共沸制冷剂混合物具有制冷量,制冷剂效果,GWP和沸点低于R404A,但共沸制冷剂混合物的中温制冷系统的功和压力高于R404A。基于数据挖掘技术的人工智能(AI)可以预测中温制冷的环保节能制冷剂。R134A、R32、R125和R1270混合制冷剂的结果与含有氢氟碳化物和氢氟碳化物混合物的第四代制冷剂的发展趋势一致,这些制冷剂需要产生低全球升温潜能值、零臭氧消耗潜能值(ODP)、高容量、低工作压力和无毒制冷剂。
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