Combining molecular modelling approaches for a holistic thermophysical characterisation of fluorinated refrigerant blends
Author
Other authors
Publication date
2025-07ISSN
1879-2081
Abstract
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.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
531/534 - Mechanics
544 - Physical chemistry
Keywords
Pages
p.12
Publisher
Elsevier
Is part of
International Journal of Refrigeration 2025, 175, 412-423
Grant agreement number
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
This item appears in the following Collection(s)
Rights
© L'autor/a
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/4.0/