Measurements of the thermodynamic properties for a series of more environmentally-friendly refrigerant mixtures containing hydrofluorocarbons (HFCs), hydrofluoroolefins (HFOs), and carbon dioxide (CO₂) were conducted. These new property data help increase confidence in the design and simulation of refrigeration processes that use CO₂ + HFO + HFC refrigerant mixtures. The HFCs of interest were R32, R125, and R134a and the HFO tested was R1234yf. The measurements collected were prioritised to fill gaps in the available literature data. Vapour-liquid equilibrium plus liquid-phase density and heat capacity data were collected for different binary mixtures containing HFCs, HFOs and CO₂, with the liquid phase measurements spanning (223 to 323) K and (1 to 5) MPa. The measured data, as well as data from the literature, were then used to tune the mixture parameters in the models used by NIST's REFPROP 10 software package to improve the prediction of thermodynamic properties for these fluids. To test the predictive capabilities of the models tuned to the binary mixtures, thermodynamic property data were also measured for four ternary mixtures and a five-component mixture of HFCs, HFOs and CO₂. The new models developed in this work significantly improved the root mean square deviations of the predicted properties for these multi-component mixtures: the most significant reductions were about a factor of two in density.

对包含氢氟碳化合物（HFC），氢氟烯烃（HFO）和二氧化碳（CO ₂）的一系列更加环保的制冷剂混合物进行了热力学性质的测量。这些新的属性数据有助于提高对使用CO ₂  + HFO + HFC制冷剂混合物的制冷过程的设计和仿真的信心。感兴趣的HFC为R32，R125和R134a，测试的HFO为R1234yf。优先收集收集的测量值，以填补可用文献数据中的空白。收集了包含HFC，HFO和CO _2的不同二元混合物的蒸气-液体平衡以及液相密度和热容量数据，液相测量的范围为（223至323）K和（1至5）MPa。然后，将测量的数据以及来自文献的数据用于在NIST的REFPROP 10软件包使用的模型中调整混合物参数，以改善对这些流体的热力学性质的预测。为了测试调整为二元混合物的模型的预测能力，还测量了HFC，HFO和CO _2的四种三元混合物和五组分混合物的热力学性质数据。在这项工作中开发的新模型极大地改善了这些多组分混合物的预测性能的均方根偏差：最显着的降低约为密度的两倍。