Abstract
This work evaluates the performance of the group contribution volume translated Peng–Robinson model when predicting the vapor–liquid equilibrium and single phase densities of 28 refrigerant mixtures with low global warming potential and zero ozone depletion potential. Cubic equations of state, and particularly the Peng–Robinson equation of state, are widely used in the refrigeration industry due to their easy applicability for new substances, and their low computational time, although generally lower prediction accuracies must be expected compared to multiparameter equations of state. The group contribution volume translated Peng–Robinson equation of state combines the Peng–Robinson equation of state with a new attraction term, improved mixing rules using a group contribution approach, and volume translation. The results are compared with the estimates obtained using the non-volume-translated Peng–Robinson equation of state, and a multiparameter equation of state.
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