<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The use of nanoparticle-infused blended refrigerants is essential for achieving an effective sustainable system. This investigation analyses the efficiency of three nano-refrigerants (CuO-R152a, TiO2-R152a and TiO2-R113a) on the basis of the thermal performance and energy usage of the compressor using MATLAB-Simulink in the vapour compression refrigeration cycle with a two-phase flow domain. Also, nanoparticle volume concentrations of 0.1%–0.5% in the basic refrigerants are investigated. In the Simulink model, the outcomes are calculated mathematically. Using the NIST chemistry webbook, the thermo-physical characteristics of base refrigerants were calculated, and different numerical models were used to compute the characteristics of nano-enhanced refrigerants. MS Excel was used to perform the liquid–vapour interpolation. It was discovered that refrigerants with nanoparticles have superior heat-transfer properties and operate most excellently at an optimal volume fraction of 0.1% for TiO2-R152a and CuO-R152a with a coefficient of performance (COP) as 10.8. However, the other blended nano-refrigerant TiO2-R113a performed the best at 0.5% of nano-particle volume fraction with a COP value of 5.27.</p>
</abstract>

The use of nanoparticle-infused blended refrigerants is essential for achieving an effective sustainable system. This investigation analyses the efficiency of three nano-refrigerants (CuO-R152a, TiO2-R152a and TiO2-R113a) on the basis of the thermal performance and energy usage of the compressor using MATLAB-Simulink in the vapour compression refrigeration cycle with a two-phase flow domain. Also, nanoparticle volume concentrations of 0.1%–0.5% in the basic refrigerants are investigated. In the Simulink model, the outcomes are calculated mathematically. Using the NIST chemistry webbook, the thermo-physical characteristics of base refrigerants were calculated, and different numerical models were used to compute the characteristics of nano-enhanced refrigerants. MS Excel was used to perform the liquid–vapour interpolation. It was discovered that refrigerants with nanoparticles have superior heat-transfer properties and operate most excellently at an optimal volume fraction of 0.1% for TiO2-R152a and CuO-R152a with a coefficient of performance (COP) as 10.8. However, the other blended nano-refrigerant TiO2-R113a performed the best at 0.5% of nano-particle volume fraction with a COP value of 5.27.

Performance Estimation of Blended Nano-Refrigerants’ Thermodynamic Characteristics and Refrigeration Efficacy

Department of Automatic Control and Robotics

Faculty of Electrical Engineering, Bialystok University of Technology

Department of Thermal and Energy Engineering

School of Mechanical Engineering, Vellore Institute of Technology (VIT)

Acta Mechanica et Automatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The use of nanoparticle-infused blended refrigerants is essential for achieving an effective sustainable system. This investigation analyses the efficiency of...

Performance Estimation of Blended Nano-Refrigerants’ Thermodynamic Characteristics and Refrigeration Efficacy

Online veröffentlicht: 26. Juni 2024

Seitenbereich: 282 - 290

Eingereicht: 15. Mai 2023

Akzeptiert: 18. Okt. 2023

DOI: https://doi.org/10.2478/ama-2024-0031

Schlüsselwörter
Coefficient of performance, compressor power, heat-transfer rate, volume percentage, heat extraction, power consumption

© 2024 Anirudh Katoch et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Performance Estimation of Blended Nano-Refrigerants’ Thermodynamic Characteristics and Refrigeration Efficacy

Online veröffentlicht: 26. Juni 2024

Seitenbereich: 282 - 290

Eingereicht: 15. Mai 2023

Akzeptiert: 18. Okt. 2023

DOI: https://doi.org/10.2478/ama-2024-0031

SchlüsselwörterCoefficient of performance, compressor power, heat-transfer rate, volume percentage, heat extraction, power consumption

© 2024 Anirudh Katoch et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Coefficient of performance, compressor power, heat-transfer rate, volume percentage, heat extraction, power consumption