Abstract
This work experimentally investigated the solubility of Propylene and Dimethyl Ether (DME) in polyalkylene glycol (PAG) oil. The solubility experimental data were used to fit different local composition models from the literature, the Wilson and Heil equations, and the Non-Random Two-Liquid (NRTL) model. Two new empirical correlations were proposed to decrease the deviation between experiments and the models. The first correlation used six fitting coefficients and resulted in an average deviation of 1.2 % for Propylene and 2.8 % for DME. The second empirical correlation was proposed with a single solubility coefficient (SSC) and a compact form, which allows solubility to be determined explicitly. The correlation resulted in average deviations from experimental data of 1.6 % for Propylene and 2.5 % for DME. Moreover, the SSC correlation showed performance robustness against the decrease of available data points. The correlation was used to compare the solubility of Propylene and DME with the solubility of Propane. At the same conditions, Propane showed the lowest solubility while DME resulted in the most soluble refrigerant.
Original language | English |
---|---|
Journal | International Journal of Refrigeration |
Volume | 165 |
Pages (from-to) | 58-69 |
ISSN | 0140-7007 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- Charge
- Lubricants
- Modeling
- Oil
- Refrigerants
- Solubility
- Frigorigènes
- Huile
- Lubrifiants
- Modélisation
- Solubilité