TY - JOUR
T1 - Assessment of vapor–liquid equilibrium models for ionic liquid based working pairs in absorption cycles
AU - Wang, Meng
AU - Becker, Tim
AU - Infante Ferreira, Carlos
PY - 2018
Y1 - 2018
N2 - This paper assesses the performance of vapor–liquid equilibrium (VLE) models in ionic liquid based absorption cycles with natural refrigerants. Frequently used equation-of-state (EOS) based models, activity coefficient based models, and generic Clausius–Clapeyron relations are evaluated. Working pairs considered are H2O/[emim][DMP] and NH3/[bmim][BF4]. Firstly, experimental VLE data of those working pairs are correlated by using the models. Mixing enthalpies are then estimated using the models and corresponding correlated parameters. Performances of the different models in reproducing VLE data and estimating mixing enthalpies are compared with each other. Subsequently, total enthalpies and thermodynamic performances of absorption refrigeration cycles are predicted based on the different models. The assessment reveals that the RK-EOS and the NRTL model perform best in reproducing VLE data. In addition, the RK-EOS and the UNIFAC model show the best performance in estimating mixing enthalpies. Hence, the RK-EOS is recommended in correlating VLE data and estimating mixing enthalpies in absorption cycles.
AB - This paper assesses the performance of vapor–liquid equilibrium (VLE) models in ionic liquid based absorption cycles with natural refrigerants. Frequently used equation-of-state (EOS) based models, activity coefficient based models, and generic Clausius–Clapeyron relations are evaluated. Working pairs considered are H2O/[emim][DMP] and NH3/[bmim][BF4]. Firstly, experimental VLE data of those working pairs are correlated by using the models. Mixing enthalpies are then estimated using the models and corresponding correlated parameters. Performances of the different models in reproducing VLE data and estimating mixing enthalpies are compared with each other. Subsequently, total enthalpies and thermodynamic performances of absorption refrigeration cycles are predicted based on the different models. The assessment reveals that the RK-EOS and the NRTL model perform best in reproducing VLE data. In addition, the RK-EOS and the UNIFAC model show the best performance in estimating mixing enthalpies. Hence, the RK-EOS is recommended in correlating VLE data and estimating mixing enthalpies in absorption cycles.
KW - Absorption cycle
KW - Ionic liquid
KW - Mixing enthalpy
KW - VLE
KW - EOS
KW - Activity coefficient model
U2 - 10.1016/j.ijrefrig.2017.09.021
DO - 10.1016/j.ijrefrig.2017.09.021
M3 - Article
VL - 87
SP - 10
EP - 25
JO - International Journal of Refrigeration
JF - International Journal of Refrigeration
SN - 0140-7007
ER -