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Prediction of Chiller Power Consumption: An Entropy Generation Approach

机译:冷水机组能耗预测:一种熵产生方法

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摘要

Irreversibilities in each component of vapor compression chillers contribute to additional powerudconsumption in chillers. In this study, chiller power consumption was predicted by computing theudCarnot reversible work and entropy generated in every component of the chiller.udThermodynamic properties namely enthalpy and entropy of the entire refrigerant cycle wereudobtained by measuring the pressure and temperature at the inlet and outlet of each primaryudcomponent of a 15kW R22 water cooled scroll chiller. Entropy generation of each componentudwas then calculated using the First and Second Laws of Thermodynamics. Good correlation wasudfound between the measured and computed chiller power consumption. This irreversibilityudanalysis can be also effectively used as a performance monitoring tool in vapor compressionudchillers as higher entropy generation is anticipated during faulty operations.
机译:蒸气压缩式冷却器的每个组件中的不合理性都会导致冷却器中额外的功率消耗。在这项研究中,通过计算 udCarnot可逆功和冷水机每个组件中产生的熵来预测冷水机的功耗。 ud通过测量入口处的压力和温度获得了整个制冷剂循环的热力学性质,即焓和熵。 15kW R22水冷涡旋式冷水机组的每个主要组件的出口。然后使用热力学第一定律和第二定律计算每个组分的熵产生。在测得的和计算出的冷却器功率消耗之间发现良好的相关性。这种不可逆性分析也可以有效地用作蒸气压缩 udchiller中的性能监控工具,因为在故障操作期间预计会产生更高的熵。

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