Heat Conductivity of Liquid Hydrofluoroolefins and Hydrochlorofluoroolefins on the Line of Saturation

Modeling Liquid Thermal Conductivity of Low-GWP Refrigerants Using Neural Networks

“…Since the thermal conductivity of liquid refrigerants currently cannot be accurately estimated using rigorous theory [8], various semi-empirical and empirical models for calculating their liquid λ were developed. Some of the main models are as follows: extended corresponding states models used in REFPROP 10.0 [9]; models based on the entropy-scaling concept [10][11][12][13]; models based on equations of state [14,15]; semi-empirical correlations that describe the λ dependence on temperature [16][17][18]; and empirical equations that present specific fixed parameters [19][20][21][22][23].…”

“…Some examples are as follows: the thermal conductivity of alkanes, ketones, and silanes [29], the surface tension of alcohols [30], and the viscosity of fatty acid esters [31]. Some literature models have been specifically developed to describe the liquid thermal conductivity of low-GWP refrigerants, such as HFOs and HCFOs [13,16,22,23,26]. For example, modified versions of the Di Nicola et al [19] correlation and the Latini and Sotte [18] correlation to calculate their liquid thermal conductivity dependence on temperature and pressure were proposed by Tomassetti et al [22].…”

“…It was found that the presented model generally produced better results than the analyzed literature models. Simple correlations to describe the temperature dependence of λ L of HFOs and HCFOs were recently proposed by Rykov and Kudryavtsev [23]. One was developed to consider the different behavior of λ L near the critical point and has the following form:…”