Combining molecular modelling approaches for a holistic thermophysical characterisation of fluorinated refrigerant blends

Otros/as autores/as

Universitat Ramon Llull. IQS

Fecha de publicación

2025-07



Resumen

After Montreal Protocol, hydrofluorocarbons (HFCs) appeared to be a permanent solution for replacing previous ozone-depleting substances. However, their utilisation has now progressively decreased following the Kigali Amendment application in 2016 due to their high global warming potential (GWP). Unsaturated HFCs, such as hydrofluoroolefins (HFOs), are considered feasible alternatives due to their high reaction rates and low atmospheric lifetimes, resulting in very low GWP. However, available data on their physicochemical behaviour still needs to be improved, even with the recent increase in the amount of new experimental data for these systems. In this direction, computational tools provide a quick pathway to screen their properties and complete the information obtained from experimental work. In this contribution, two different molecular modelling tools, molecular dynamics (MD) simulations and the soft-SAFT equation of state (EOS), are combined to compute the coexistence densities, vapour pressure, heat capacity, interfacial tension, and dynamic viscosity of several refrigerant blends based on 3rd and 4th generation compounds, in order to provide a thermodynamic analysis of the properties of these mixtures, addressing them for drop-in replacement purposes. Results from MD are compared with REFPROP data and those from soft-SAFT, where the capacities of both modelling methods are addressed. In general, quantitative agreement is achieved using the two approaches, offering a framework to screen these properties for new mixtures.

Tipo de documento

Artículo

Versión del documento

Versión publicada

Lengua

Inglés

Páginas

p.12

Publicado por

Elsevier

Publicado en

International Journal of Refrigeration 2025, 175, 412-423

Número del acuerdo de la subvención

info:eu-repo/grantAgreement/MCI/PN I+D/PID2019-108014RB-C21

info:eu-repo/grantAgreement/MCIU/PN I+D/PID2023-149713OB-I00

info:eu-repo/grantAgreement/MCI/PN I+D/PID2022-138180OB-I00

info:eu-repo/grantAgreement/SUR del DEC/SGR/2021 SGR 00321

info:eu-repo/grantAgreement/SUR del DEC/SGR/SGR 2021 00738

info:eu-repo/grantAgreement/SUR del DEC/SGR/2021 SGR 00079

info:eu-repo/grantAgreement/MCI i AEI/María de Maeztu/CEX2021-01202-M

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© L'autor/a

Attribution-NonCommercial 4.0 International

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