Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of state

In this Data in Brief article, we present predictive data for the vapor-liquid equilibria of the binary mixtures of HFO-1123 with R-32, HFO-1234yf, HFO-1234ze(E), R-134a and CO2 from molecular simulation. The VLE in the binary mixtures are then modeled by the PCP-SAFT equation of state. Therefore we...

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Main Author: Gabriele Raabe
Format: Article
Language:English
Published: Elsevier 2019-08-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919303671
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spelling doaj-fec24759c64b48c3abab459258d76c962020-11-25T02:34:44ZengElsevierData in Brief2352-34092019-08-0125Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of stateGabriele Raabe0Institut für Thermodynamik, TU, Braunschweig, GermanyIn this Data in Brief article, we present predictive data for the vapor-liquid equilibria of the binary mixtures of HFO-1123 with R-32, HFO-1234yf, HFO-1234ze(E), R-134a and CO2 from molecular simulation. The VLE in the binary mixtures are then modeled by the PCP-SAFT equation of state. Therefore we determined PCP-SAFT parameters for the pure HFO compounds as well as binary interaction parameters for all mixtures. The simulation data and the PCP-SAFT modelling are discussed in a related research article (Raabe, 2019). Keywords: HFO-1123, Refrigerants, VLE, Molecular simulation, PCP-SAFThttp://www.sciencedirect.com/science/article/pii/S2352340919303671
collection DOAJ
language English
format Article
sources DOAJ
author Gabriele Raabe
spellingShingle Gabriele Raabe
Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of state
Data in Brief
author_facet Gabriele Raabe
author_sort Gabriele Raabe
title Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of state
title_short Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of state
title_full Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of state
title_fullStr Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of state
title_full_unstemmed Molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of HFO-1123 with R-32, R-1234yf, R-1234ze(E), R-134a and CO2 and their modelling by the PCP-SAFT equation of state
title_sort molecular simulation data for the vapor-liquid phase equilibria of binary mixtures of hfo-1123 with r-32, r-1234yf, r-1234ze(e), r-134a and co2 and their modelling by the pcp-saft equation of state
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2019-08-01
description In this Data in Brief article, we present predictive data for the vapor-liquid equilibria of the binary mixtures of HFO-1123 with R-32, HFO-1234yf, HFO-1234ze(E), R-134a and CO2 from molecular simulation. The VLE in the binary mixtures are then modeled by the PCP-SAFT equation of state. Therefore we determined PCP-SAFT parameters for the pure HFO compounds as well as binary interaction parameters for all mixtures. The simulation data and the PCP-SAFT modelling are discussed in a related research article (Raabe, 2019). Keywords: HFO-1123, Refrigerants, VLE, Molecular simulation, PCP-SAFT
url http://www.sciencedirect.com/science/article/pii/S2352340919303671
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