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Numerical model to optimize the refrigerant charge for maximum refrigeration capacity

机译:优化制冷剂充注量以实现最大制冷量的数值模型

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Refrigeration systems require optimal amount of refrigerant for maximum system performance. Undercharged or overcharged systems experience reduced efficiency and accessories deterioration. Optimal amount of refrigerant to be charged in a refrigeration system depends on the physical and thermal dynamic properties of the evaporator and the refrigerant. This paper presents formulation of a numerical model that can be used in determination of optimal amount of refrigerant charged in a system for maximum cooling rate as hence maximum system performance. Rayleigh’s method of dimensional analysis was used obtain the relationship between the maximum cooling rates of direct expansion evaporators as a function of thermodynamic properties of refrigerant R-134a, Different sizes of evaporator were fitted in the refrigeration system and charged with systematically varying amount of refrigerant until a maximum cooling rate was determined. The variation of pressures and temperatures both at the inlet and exit of the evaporator were observed and analyzed. The cooling rate of the numerical model formulated was compared with the cooling rate the actual physical refrigeration system. A t-test of 95% confidence interval indicated no significance difference between the numerical model, and the physical refrigeration system.
机译:制冷系统需要最佳数量的制冷剂,以实现最佳系统性能。充电不足或充电过度的系统会降低效率,并降低配件质量。制冷系统中要填充的制冷剂的最佳量取决于蒸发器和制冷剂的物理和热动力特性。本文提出了一种数值模型,该模型可用于确定系统中充注的最佳制冷剂量,以获得最大的冷却速度,从而获得最大的系统性能。使用瑞利的尺寸分析方法,得出直接膨胀式蒸发器的最大冷却速率与制冷剂R-134a的热力学性质之间的关系。在制冷系统中安装了不同尺寸的蒸发器,并充入系统变化量的制冷剂,直到确定最大冷却速率。观察并分析了蒸发器入口和出口的压力和温度变化。将制定的数值模型的冷却速率与实际物理制冷系统的冷却速率进行了比较。 95%置信区间的t检验表明,数值模型与物理制冷系统之间没有显着性差异。

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