Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures

I. H. Bell; J. Welliquet; M. E. Mondejar; A. Bazyleva; S. Quoilin; F. Haglind

doi:10.1016/j.ijrefrig.2019.04.014

Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures

I. H. Bell^*, J. Welliquet, M. E. Mondejar, A. Bazyleva, S. Quoilin, F. Haglind

^*Corresponding author for this work

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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 commercial 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 translated Peng-Robinson equation of state, and a multiparameter equation of state.

Original language	English
Journal	International Journal of Refrigeration
Volume	103
Pages (from-to)	316-328
ISSN	0140-7007
DOIs	https://doi.org/10.1016/j.ijrefrig.2019.04.014
Publication status	Published - 2019

Keywords

Cubic equation of state
Peng-Robinson
GC-VTPR
UNIFAC
Refrigerant mixtures

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ijrefrig.2019.04.014

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title = "Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures",

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 commercial 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 translated Peng-Robinson equation of state, and a multiparameter equation of state.",

keywords = "Cubic equation of state, Peng-Robinson, GC-VTPR, UNIFAC, Refrigerant mixtures",

author = "Bell, {I. H.} and J. Welliquet and Mondejar, {M. E.} and A. Bazyleva and S. Quoilin and F. Haglind",

year = "2019",

doi = "10.1016/j.ijrefrig.2019.04.014",

language = "English",

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pages = "316--328",

journal = "International Journal of Refrigeration",

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T1 - Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures

AU - Bell, I. H.

AU - Welliquet, J.

AU - Mondejar, M. E.

AU - Bazyleva, A.

AU - Quoilin, S.

AU - Haglind, F.

PY - 2019

Y1 - 2019

N2 - 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 commercial 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 translated Peng-Robinson equation of state, and a multiparameter equation of state.

AB - 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 commercial 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 translated Peng-Robinson equation of state, and a multiparameter equation of state.

KW - Cubic equation of state

KW - Peng-Robinson

KW - GC-VTPR

KW - UNIFAC

KW - Refrigerant mixtures

U2 - 10.1016/j.ijrefrig.2019.04.014

DO - 10.1016/j.ijrefrig.2019.04.014

M3 - Journal article

SN - 0140-7007

VL - 103

SP - 316

EP - 328

JO - International Journal of Refrigeration

JF - International Journal of Refrigeration

ER -

Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures

Abstract

Keywords

UN SDGs

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