将蒸汽喷射应用于压缩过程会导致排放温度降低，从而延长工作范围以降低吸入压力。此外，它还提高了这些条件下的性能系数和热容量。因此，蒸汽喷射式压缩机非常适合寒冷气候热泵应用。本文介绍了用系统测试和试验台测试的数据训练的双端口蒸汽喷射压缩机性能数据的PI型映射。系统内测试在冷气候热泵原型中进行，注入质量流量和吸入过热是运行条件的结果。 相比之下，试验台数据的吸入过热是固定的，而注射流量由试验计划决定。如果模型仅使用其中一个集合进行训练，这些差异会导致映射的局限性，如配套论文所示。引用:2016年冬季会议，佛罗里达州奥兰多，会议论文

The application of vapor injection to the compression process leads to a decrease in discharge temperature, extending the operating envelope to lower suction pressures. Additionally, it increases the coefficient of performance as well as the heating capacity under these conditions. Vapor injected compressors are therefore ideally suited for cold climate heat pump applications. This paper introduces a PI-type mapping of a dual port vapor injected compressor’s performance data trained with data from both, in-system testing as well as test-stand testing. The in-system testing was conducted in a prototype cold climate heat pump, where injection mass flowrates and suction superheat were a result of the operating conditions. In contrast, suction superheat of the test-stand data was fixed while injection flowrates were dictated by the test plan. These differences result in limitations of the mappings if the model is trained with only one of these sets, as shown in the companion paper.