TY - JOUR
T1 - Modeling Hydrofluoroolefins with the Cubic Plus Association and Perturbed-Chain Statistical Associating Fluid Theory Equations of State
AU - Kang, Kai
AU - Wang, Xiaopo
AU - Kontogeorgis, Georgios M.
AU - Liang, Xiaodong
PY - 2018
Y1 - 2018
N2 - Hydrofluoroolefins(HFOs) have been proposed as promising candidates for alternative refrigerants. In this work, a comprehensive comparison of the performance of the Cubic Plus Association (CPA) and (perturbed-chainstatistical associating fluid theory) (PC-SAFT) equations of state for six thermodynamic properties of HFOs is presented, in which 11parameter estimation methods are considered and analyzed. On the basis of the comparison with experimental data and a theoretical analysis, a method meeting both satisfactory results and simplicity is recommended for parameter estimation for this type of compounds. The results show that both CPA and PC-SAFT perform equally well for the prediction of vapor pressure, liquid density, and speed of sound in the gas phase. CPA provides better isobaric heat capacity predictions compared to PC-SAFT irrespectively of the estimation method used, but PC-SAFTpresents the best overall performance when all properties are considered.
AB - Hydrofluoroolefins(HFOs) have been proposed as promising candidates for alternative refrigerants. In this work, a comprehensive comparison of the performance of the Cubic Plus Association (CPA) and (perturbed-chainstatistical associating fluid theory) (PC-SAFT) equations of state for six thermodynamic properties of HFOs is presented, in which 11parameter estimation methods are considered and analyzed. On the basis of the comparison with experimental data and a theoretical analysis, a method meeting both satisfactory results and simplicity is recommended for parameter estimation for this type of compounds. The results show that both CPA and PC-SAFT perform equally well for the prediction of vapor pressure, liquid density, and speed of sound in the gas phase. CPA provides better isobaric heat capacity predictions compared to PC-SAFT irrespectively of the estimation method used, but PC-SAFTpresents the best overall performance when all properties are considered.
U2 - 10.1021/acs.iecr.8b04813
DO - 10.1021/acs.iecr.8b04813
M3 - Journal article
VL - 57
SP - 17289
EP - 17300
JO - Industrial & Engineering Chemistry Research
JF - Industrial & Engineering Chemistry Research
SN - 0888-5885
ER -