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Performance Enhancement and Optimization of a Domestic Binary-Refrigerant Refrigerator 国产二元制冷机的性能改进与优化
非共沸制冷剂混合物(NARM)在恒压相变过程(如冷凝和蒸发)中表现出温度变化。相变期间的温度变化可以有益地用于外部热源和散热器温度也发生变化的应用中。这一概念的动机是制冷剂混合物有望节省能源消耗。本文从热力学角度确定了家用冰箱在特定工况下各种二元混合制冷剂的最佳组合。对Magic Chef型号mcbr270s迷你冰箱(可在我们的实验室获得)的性能进行了模拟,以获得优化的二元混合比。选择蒸发器、冷凝器和吸入管换热器(slhx)的总传热系数值进行模拟。应用约束优化理论,针对给定的二元制冷剂组,确定了制冷剂的最佳混合比例。 根据其热物理和环境特性,如汽化热、全球变暖潜能(gwp)和臭氧消耗潜能(odp),选择了两对制冷剂。选择R-125/R-134a和R-32/R-134a混合物作为二元组分,在50 W(0.047BTU/s)占空比蒸汽压缩循环中进行模拟。具体而言,选择R-125/R-134a和R-32/R-134a组合作为蒸汽压缩循环中的二元组分,如magic chef型号mcbr270s迷你冰箱中所示。此外,还考虑将R-12/R-114组合用于工业规模的20 kW(18.96 BTU/s)负荷蒸汽压缩制冷循环。对于每一对,都进行了约束优化研究,以确定制冷剂的最佳配比,从而在给定操作条件下提供最大性能系数(COP)。而R-125/R-134A似乎与mini不匹配- 我们考虑的冰箱(计算和实验),R-32/R-134A对显示出作为制冷剂混合物的前景。引文:2016年3月14日至16日在科威特召开的第六届国际能源研究与开发会议
Non-azeotropic refrigerant mixtures (narms) exhibit temperature variation during constant pressure phase change processes, such as condensation and evaporation. The temperature variation during phase change can be used beneficially in applications where the external heat source and sink temperature also vary. This concept is motivated by the potential savings in energy consumption which is expected of refrigerant mixtures. The optimum combination of various binary-refrigerant mixtures for a domestic refrigerator under specified operating conditions was thermodynamically determined. The performance of a Magic Chef Model mcbr270s mini-fridge (available in our laboratories), was simulated to obtain the optimized binary mixture ratios. The overall heat transfer coefficient values for the evaporator, the condenser and the suction line heat exchanger (slhx) were chosen for the simulations. Applying the constrained optimization theory, the optimum mixture fraction of the refrigerants was determined for given sets of binary refrigerants. Two refrigerant pairs were selected based upon their thermophysical and environmental properties like heat of vaporization, global warming potential (gwp) and ozone depletion potential (odp). The R-125/R-134a and R-32/R-134a mixtures were chosen as the binary components for simulation in a 50 W (0.047BTU/s) duty vapor-compression cycle. Specifically the combinations R-125/R-134a and R-32/R-134a were chosen as the binary components for simulation in a vapor-compression cycle as found in a magic chef model mcbr270s mini-fridge. In addition, the combination R-12/R-114 was also considered for an industrial scale 20 kW (18.96 BTU/s) duty vapor-compression refrigeration cycle. For each pair, constrained optimization studies were carried out to determine the optimum ratios of the refrigerants to provide the maximum coefficient of performance (COP) under given operating conditions. While the pair R-125/R-134A appeared to be a poor match for the mini-fridge we considered (both computationally and experimentally), the pair R-32/R-134A showed promise as a refrigerant mixture.
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