JOURNAL ARTICLE

Influence on the Energy Conservation and Green Environment R152A Refrigeration with Various Nanorefrigerants.

  • Published In: NANO (1793-2920), 2023, v. 18, n. 14. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Vandaarkuzhali, S.; Balu, P.; Jayabalakrishnan, D.; Maniyarasan, M. 3 of 3

Abstract

Global Warming Potential (GWP) has proven to be just as critical in determining a possible coolant in recent years as Ozone Depletion Potential (ODP). By lowering the refrigerant charge and enhancing the coolant containment systems, R152A emissions are now aggressively reduced. The option to use the R152A device must be discussed due to concerns about its global warming potential. Disperse the specified quantities of nanoparticles in the compressor oil using a magnetic stirrer for two hours, and then ultrasonic dissolve for four hours to prepare the necessary volume fractions. The experiments showed a performance improvement using CuOs with 0.5% volume fractions with a base refrigerant such as R152A. Experimental results from three different nanoparticles, such as CuO, ZnO and Al2O3, indicate strong miscibility of the nano-CuO lubricant and an increase in lubricity oil to two nanoparticles. Experimental results from three different nanoparticles, such as CuO, ZnO, and Al2O3, indicate strong miscibility of the nano-CuO lubricant and an increase in lubricity oil to two nanoparticles. For the use of nano refrigerant in the system, no system modifications were needed. The CuO nano liquid achieved strong miscibility and stability at a 0.5% volume concentration. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:NANO (1793-2920). 2023/12, Vol. 18, Issue 14, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2023
  • ISSN:1793-2920
  • DOI:10.1142/S1793292023500984
  • Accession Number:176039403
  • Copyright Statement:Copyright of NANO (1793-2920) is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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