Modeling Liquid Thermal Conductivity of Low-GWP Refrigerants Using Neural Networks
The thermal conductivity of refrigerants is needed to optimize and design the main components of HVAC&R systems. Consequently, it is crucial to have reliable models that are able to accurately calculate the temperature and pressure dependence of the thermal conductivity of refrigerants. For the...
Main Authors: | Mariano Pierantozzi, Sebastiano Tomassetti, Giovanni Di Nicola |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/1/260 |
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