Paper Title

Enhancing Performance Of Refrigerator Using Nanorefrigerant

Authors

Sachin Kumar , Shahid Mahmood

Keywords

Nanorefrigerant, graphene oxide in R134a, refrigeration capacity, coefficient of performance.

Abstract

In this work, a comparison of cooling capacity between a normal R134a refrigerant and a GO-R134a nanorefrigerant is done. The graphene oxide is used as a nanoparticle which improves the refrigeration effect and coefficient of performance of the refrigerator. This is observed at different masses of water. Here water is acting as a cooling load. The concentration of graphene oxide is 0.01% by weight of the refrigerant. The experiment has shown variation in increase in refrigeration effect from 0.26 times at 1 kg of water to 0.65 times at 0.5 kg of water. Likewise, there is an increase in COP of the domestic refrigerator from 0.57 times at 1 kg of water to 1.06 times at 0.5 kg of water. This means that in a given time frame, the cooling can be obtained at a greater extent if nanorefrigerant is used in place of R134a refrigerant. Or in other words, if a particular temperature of the load (here water) is to be achieved then the nanorefrigerant will take a lesser time in comparison to the R134a refrigerant.

How To Cite

"Enhancing Performance Of Refrigerator Using Nanorefrigerant", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 5, page no.189 - 194, May-2020, Available :https://ijsdr.org/papers/IJSDR2005032.pdf

Issue

Volume 5 Issue 5, May-2020

Pages : 189 - 194

Other Publication Details

Paper Reg. ID: IJSDR_191737

Published Paper Id: IJSDR2005032

Downloads: 000347189

Research Area: Engineering

Country: Gaya, Bihar, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2005032

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2005032

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex