Abstract
Background: Hydrocarbons are increasingly being considered as potential fourth-generation refrigerants due to their environmentally-friendly properties. However, accurate prediction and calculation of their thermal properties are essential for their industrial application.
Objective: In this study, molecular dynamics simulations were performed to calculate the density, selfdiffusion coefficient, viscosity and thermal conductivity of R290 at various operating temperatures of 200-240 K and pressures of 0.15 and 0.20 MPa, and 270-390 K and pressures of 1.5 and 2.0 MPa to verify the feasibility of the methods.
Methods: The equilibrium molecular dynamics simulation (EMD) approach was utilised. The soundness of the model and force field were verified by calculating the density of the system during the relaxation phase. In the output stage, the self-diffusion coefficient was calculated using the Einstein relation, while the viscosity and thermal conductivity were calculated using the Green-Kubo method. The simulation results were compared with the NIST data values, and the errors were analysed.
Results: The density simulation results for R290 in the relaxation phase yielded an overall average absolute relative deviation (AARD) value of 3.97%. In the output stage, the simulation results for the transport coefficients of R290 showed AARD values of 7.68%, 6.60% and 11.04% for the self-diffusion coefficient, viscosity, and thermal conductivity, respectively, compared to the NIST data values.
Conclusion: These results indicate the feasibility of using molecular dynamics simulations to study the transport properties of hydrocarbon refrigerants. The findings also provide a foundation for future research on hydrocarbon refrigerant mixtures.
Patent: The research presented in this work could serve as a valuable reference for future patent applications and technological innovations related to hydrocarbon refrigerants, particularly R290. This includes, but is not limited to, delivery pipelines, connectors, storage containers, control and detection systems, and the preparation and application of R290 and other refrigerant mixtures.
[http://dx.doi.org/10.1016/j.rser.2017.02.039]
[http://dx.doi.org/10.1016/j.ijrefrig.2019.11.012]
[http://dx.doi.org/10.1016/j.ijrefrig.2020.10.039]
[http://dx.doi.org/10.1007/978-3-662-03925-0]
[http://dx.doi.org/10.1016/j.ijrefrig.2022.02.015]
[http://dx.doi.org/10.1016/j.ijrefrig.2020.04.024]
[http://dx.doi.org/10.1016/j.enconman.2022.115388]
[http://dx.doi.org/10.1016/j.molliq.2020.112580]
[http://dx.doi.org/10.1016/j.molliq.2020.113998]
[http://dx.doi.org/10.1016/j.commatsci.2014.11.051]
[http://dx.doi.org/10.1021/ja9621760]
[http://dx.doi.org/10.1002/prot.340040106] [PMID: 3054871]
[http://dx.doi.org/10.1021/j100389a010]
[http://dx.doi.org/10.1016/j.fluid.2022.113566]
[http://dx.doi.org/10.1063/1.4822570]
[http://dx.doi.org/10.1002/andp.19053220806]
[http://dx.doi.org/10.1143/JPSJ.12.570]
[http://dx.doi.org/10.1063/1.1740082]
[http://dx.doi.org/10.1088/0034-4885/29/1/306]
[http://dx.doi.org/10.1016/j.mtcomm.2019.05.009]
[http://dx.doi.org/10.1080/002689798169500]
[http://dx.doi.org/10.1103/PhysRev.159.98]
[http://dx.doi.org/10.1016/j.molliq.2022.119258]
[http://dx.doi.org/10.1016/0010-4655(80)90052-1]
[http://dx.doi.org/10.1016/0010-4655(96)00016-1]
[http://dx.doi.org/10.1103/PhysRevA.33.4253] [PMID: 9897167]