Akasaka Ryo, Fukuda Sho, Higashi Yukihiro
Department of Mechanical Engineering, Faculty of Science and Engineering, Kyushu Sangyo University, Fukuoka 8138503, Japan.
Research Center for Next Generation Refrigerant Properties (NEXT-RP), International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, Fukuoka 8190395, Japan.
ACS Omega. 2025 Jan 28;10(5):4774-4783. doi: 10.1021/acsomega.4c09878. eCollection 2025 Feb 11.
This work presents mixture models for the thermodynamic properties of the mixtures of R-1123 with R-32, R-1234yf, and R-290, which are potential refrigerants for next-generation air conditioning systems. The models are based on the multifluid approximation and employ accurate Helmholtz energy equations of state for the pure fluids. The mixing parameters of the models are determined by fitting experimental data for the (, ρ, ) behavior and vapor-liquid equilibrium. The range of validity of the models is approximately temperatures from 273 to 400 K and pressures up to 7 MPa. Typical uncertainties ( = 2) in this range are 0.3% for liquid densities, 1.5% for vapor densities, and 1% for bubble-point pressures. The mixture models exhibit qualitatively correct behavior in the critical and extrapolated regions; this is demonstrated by plots of several thermodynamic properties over wide ranges of temperature and pressure.
本文提出了用于R - 1123与R - 32、R - 1234yf和R - 290混合物热力学性质的混合模型，这些混合物是下一代空调系统的潜在制冷剂。该模型基于多流体近似，并采用了纯流体精确的亥姆霍兹能量状态方程。模型的混合参数通过拟合（温度，密度，压力）行为和汽液平衡的实验数据来确定。模型的有效范围大约是温度从273到400 K，压力高达7 MPa。在此范围内的典型不确定度（k = 2）为：液体密度0.3%，蒸汽密度1.5%，泡点压力1%。混合模型在临界和外推区域表现出定性正确的行为；这通过在宽温度和压力范围内绘制几种热力学性质得到了证明。
