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Performance analysis of R134a vapor compression refrigeration system based on CuO/CeO2 mixture nanorefrigerant

This study was built on the basis of an experimental study that was carried out on a simple refrigeration system that works with R134a as a refrigerant, and based on the real dimensions of the system and the experimental results, the Ansys fluent software was used to simulate the system to prepare the system to introduce the nanoparticles theoretically. Since the nanoparticles preparation process is expensive, this research presents a simple, easy, and inexpensive method for the preparation process based on the following materials, distilled water, ammonia, copper nitrate, and cerium nitrate to synthesize seven types of nanoparticles as a single oxide and as a mixture from two different oxides The results of preparing using X-Ray Diffraction and Scanning Electron Microscopy proved that particles of samples were spherical in shape, with suitable average diameter ranging between 78.95, 79.9, 44.15 and 63.3 nm for both copper oxide, cerium oxide, first mixture, and second mixture, respectively, the theoretical study confirmed that both copper oxide, cerium oxide, and the mixture consisting of both improved the performance of the refrigeration system and reduced energy consumption.
- Ankara Yıldırım Beyazıt University Turkey
- Gazi University Turkey
- Gazi University Turkey
- Ankara Yıldırım Beyazıt University Turkey
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
