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寻找不可燃制冷剂混合物以替代R-134a。

The hunt for nonflammable refrigerant blends to replace R-134a.

作者信息

Bell Ian H, Domanski Piotr A, McLinden Mark O, Linteris Gregory T

机构信息

Applied Chemicals and Materials Division, National Institute of Standards and Technology, Boulder, CO, 80305, USA.

Energy and Environment Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.

出版信息

Int J Refrig. 2019;104. doi: 10.1016/j.ijrefrig.2019.05.035.

Abstract

We investigated refrigerant blends as possible low GWP (global warming potential) alternatives for R-134a in an air-conditioning application. We carried out an extensive screening of the binary, ternary, and four-component blends possible among a list of 13 pure refrigerants comprising four hydrofluoroolefins (HFOs), eight hydrofluorocarbons (HFCs), and carbon dioxide. The screening was based on a simplified cycle model, but with the inclusion of pressure drops in the evaporator and condenser. The metrics for the evaluation were nonflammability, low GWP, high COP (coefficient of performance), and a volumetric capacity similar to the R-134a baseline system. While no mixture was ideal in all regards, we identified 16 binary and ternary blends that were nonflammable (based on a new estimation method) and with COP and capacity similar to the R-134a baseline; the tradeoff, however, was a reduction in GWP of, at most, 54% compared to R-134a. An additional seven blends that were estimated to be "marginally flammable" (ASHRAE Standard 34 classification of A2L) were identified with GWP reductions of as much as 99%. These 23 "best" blends were then simulated in a more detailed cycle model.

摘要

我们研究了制冷剂混合物,作为空调应用中R - 134a可能的低全球变暖潜能值(GWP)替代品。我们对由四种氢氟烯烃(HFOs)、八种氢氟碳化物(HFCs)和二氧化碳组成的13种纯制冷剂列表中可能的二元、三元和四元混合物进行了广泛筛选。筛选基于简化的循环模型,但包括了蒸发器和冷凝器中的压降。评估指标为不可燃性、低全球变暖潜能值、高性能系数(COP)以及与R - 134a基线系统相似的容积制冷量。虽然没有一种混合物在所有方面都是理想的,但我们确定了16种二元和三元混合物,它们不可燃(基于一种新的估算方法),且性能系数和制冷量与R - 134a基线相似;然而,与R - 134a相比,其全球变暖潜能值最多降低了54%。另外还确定了七种估计为“轻度可燃”(ASHRAE标准34分类为A2L)的混合物,其全球变暖潜能值降低了高达99%。然后在一个更详细的循环模型中对这23种“最佳”混合物进行了模拟。

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