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Effect of Data Availability on Modeling of Residential Air Conditioners and Heat Pumps for Energy Calculations

机译:数据可用性对家用空调和热泵建模进行能量计算的影响

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A component-based model for residential air conditioner and heat pump energy calculations has been developed through ASHRAE Research Project 1197. A primary objective of this project was to develop a suitable model that requires only readily available, or potentially readily available, input data. The component model meets this objective by only requiring rating data that are generated from ARI Standard 210/240. Unfortunately, only a small percentage of the data collected during these tests is published by ARI. Some manufacturers release a more significant portion of the test data in their technical literature, but these data are often incomplete. This paper describes the development of default data for the modeling of residential air conditioners and heat pumps using a test suite of 25 units. The paper evaluates the impact of limited data availability, and the need to use default data, on model prediction accuracy. The results show that the use of minimal data often produces acceptable results, though accuracy improves significantly with additional rating data. Of most importance are the power at standard rating conditions, the type of compressor, and the coil airflow rates. The results also show that accurate results are obtained without knowing the exact compressor model number.
机译:通过ASHRAE研究项目1197已开发了用于住宅空调和热泵能量计算的基于组件的模型。该项目的主要目的是开发一种仅需容易获得或可能容易获得的输入数据的合适模型。组件模型仅通过要求从ARI标准210/240生成的额定数据即可满足此目标。不幸的是,在这些测试中收集的数据中只有一小部分是由ARI发布的。一些制造商在其技术文献中发布了测试数据的重要部分,但这些数据通常不完整。本文介绍了使用25个单元的测试套件为住宅空调和热泵建模的默认数据的开发。本文评估了有限的数据可用性以及使用默认数据对模型预测准确性的影响。结果表明,使用最少的数据通常会产生可接受的结果,尽管使用附加的评分数据可以显着提高准确性。最重要的是标准额定条件下的功率,压缩机的类型以及盘管的空气流速。结果还表明,无需知道确切的压缩机型号即可获得准确的结果。

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