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Validation of Methods for Tuning System Charge Predictions in Unitary Equipment

机译:单一设备中系统费用预测调整方法的验证

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摘要

To simulate the performance of unitary air conditioning and heat pumping equipment at design conditions, the amount of subcooling leaving the condenser is typically specified at design conditions and the required refrigerant charge necessary to achieve that subcooling is computed. For off-design conditions, the charge is fixed at the value determined for the design conditions and the amount of subcooling is estimated. Previous studies have shown that existing models do not predict the effect of off-design charge very well, even when tuned at design conditions. Four factors that cause the inaccuracies in charge prediction are identified in this paper, which are the unaccounted liquid volumes in the condenser, refrigerant dissolved in the compressor lubricant, inaccurate void fraction models, and an inaccurate estimate of the subcooled liquid length. Some of these factors lead to constant errors, while the others lead to errors that change with operating conditions. This paper presents a method for tuning parameters associated with a charge correction equation that requires data for two operating points. The approach uses a semi-empirical solubility relationship to predict the refrigerant dissolved in the lubricant, associates the variable charge errors with the subcooled liquid length, and considers all the other errors as a constant offset. The ability of a system model to predict off-design charge effects is significantly improved through the use of this tuning approach. This was confirmed though comparisons with measured results and predictions obtained from existing tuning approaches The tuning approach was tested for multiple units and different operating conditions.
机译:为了模拟设计条件下整体式空调和热泵设备的性能,通常在设计条件下指定离开冷凝器的过冷量,并计算实现该过冷所需的制冷剂充量。对于非设计条件,将装料固定为针对设计条件确定的值,并估算过冷量。先前的研究表明,即使在设计条件下进行调整,现有模型也无法很好地预测非设计费用的影响。本文确定了导致装料预测不准确的四个因素,这些因素是冷凝器中的液体量不正确,压缩机润滑剂中溶解的制冷剂,空隙分数模型不正确以及过冷液体长度的估计不正确。这些因素中的一些会导致持续的错误,而其他一些会导致错误,这些错误会随操作条件而变化。本文提出了一种用于调整与电荷校正方程相关的参数的方法,该电荷校正方程需要两个工作点的数据。该方法使用半经验溶解度关系来预测溶解在润滑剂中的制冷剂,将可变装料误差与过冷液体长度相关联,并将所有其他误差视为恒定偏移。通过使用这种调整方法,可以大大提高系统模型预测非设计电荷效应的能力。通过将测量结果与现有调整方法的预测结果进行比较,证实了这一点。调整方法针对多个单元和不同的运行条件进行了测试。

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