Performance evaluation of a refrigeration system using nanolubricant

Yılmaz, Ali Can

doi:10.1007/s13204-020-01258-5

Cited by 36 publications

(9 citation statements)

References 34 publications

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“…Ali Can Yilmaz et.al. [11] Improved the COP to 20.88 percent and 14.55 percent with dispersion of 0.5vol percent of nanolubricants such as Cu/Ag alloy and CuO and this enhancement occurred due to enhancement in triobological properties of nanoparticles in the lubricant.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of R600a blended with various quantities of CuO, Al2O3 and SiO2 nanoparticles

Senthilkumar¹,

Gnana²,

Athimoolam³

et al. 2022

Zaštita materijala

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In this work three different nanoparticle concentrations of CuO, Al2O3, and SiO2 are dispersed in R600a vapour compression refrigeration system. The experiment was carried out using nanolubricant concentrations of 0g/L, 0.2g/L, and 0.4g/L having CuO, Al2O3, and SiO2 nanoparticles diffused in mineral oil with refrigerant mass fractions of 30, 40, and 60g. Nano lubricant was prepared at various concentrations using CuO, Al2O3, and SiO2 nanoparticles and refrigerant mass charges which were employed to perform tests. The system's performance was investigated with the variables such as coefficient of performance, refrigeration effect, compressor work, and pull down test. As a result of this study, it can be inferred that there is a significant enhancement in COP value of 2.7 by utilizing 0.4g/L SiO2 nanolubricant concentration with 40g of refrigerant. This inclusion of nanolubricant enhanced the refrigeration effect up to180W and resulted in a reduction of compressor work to 60W.The results obtained by using nanolubricants are compared with the system without nanolubricants. The pull down test with 0.4g/L SiO2 nanolubricant concentration quickly achieved low evaporator temperature compared to other conditions. The research was performed with various nanoparticles in R600a refrigeration system, the experiments were conducted with different nanoparticles by varying nanoparticle concentrations and refrigerant mass charges. From the experiments it is observed that SiO2 nanolubricant results in enhanced COP and refrigerant effect,which can be used as a better alternative to a pure mineral refrigeration system. Among three nanoparticles, SiO2 resulted in better performance and refrigerating effect with 56% less power consumption.

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Section: Introductionmentioning

confidence: 99%

Evaluation of R600a blended with various quantities of CuO, Al2O3 and SiO2 nanoparticles

Senthilkumar¹,

Gnana²,

Athimoolam³

et al. 2022

Zaštita materijala

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“…According to Payyala et al [25], adding Al 2 O 3 to R140a improved the COP, pressure ratio, and energy efficiency ratio. The coefficient of the performance was increased by 14.55%, and the friction coefficient was reduced by 9.9% when the CuO nanomaterial was combined with R134a [28]. CuO/R134a refrigerant's heat transfer coefficient is enhanced by 42-82% at the concentration of 1% by volume, according to Bartelt et al [29].…”

Section: Introductionmentioning

confidence: 99%

Pressure Drop and Heat Transfer Characteristics of TiO2/R1234yf Nanorefrigerant: A Numerical Approach

Bibin,

Gundabattini

2023

Sustainability

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Global warming is one of the most dangerous ecological issues facing the globe. Refrigerants are a major contributor to global warming. This investigation mainly focuses on the analysis of a greener nanorefrigerant. Nanorefrigerant can improve the efficiency of refrigeration and air conditioning systems that use vapor compression. In the present investigation, mathematical and computational methods are used to assess the heat transfer and pressure drop properties of TiO2/R1234yf. In order to analyze the heat transfer characteristics and the transport features of the innovative nanorefrigerant, appropriate mathematical predictive models were adapted from earlier investigations. The models are validated by the experiments using TiO2/POE nanolubricant as a test fluid. The investigation was conducted with a temperature range of 10 °C to 40 °C and a volume percentage of nano-sized TiO2 particles in R1234yf refrigerant ranging from 0.2 to 1%. According to the research, the introduction of nanoparticles increases viscosity, thermal conductivity, and density. However, as the amount of nanoparticles rises, the specific heat capacity of the nano-enhanced refrigerant decreases. The nanorefrigerant’s heat transfer coefficient and pressure drop are improved by 134.03% and 80.77%, respectively. The outcomes observed from the predictive technique and the simulation approach had an average absolute variation of 9.91%.

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“…Through refrigeration and air conditioning systems, scientists were able to pinpoint the problem of excessive energy use. 1 The usage of nanofluids in the thermal system aids in lowering the refrigeration system's energy. 2 Nanofluids are a mixture of a specific amount of nanoparticles that are dispersed into a base fluid to form a colloidal solution.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of nano-refrigerants used in the vapor compression refrigeration system using MATLAB-Simulink

Katoch

Razak

Suresh

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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This paper investigates the performance of four nano-refrigerants (CuO-R113a, Al2O3-R134a, ZnO-R152a, TiO2-R600a) in terms of coefficient of performance and compressor power consumption using a MATLAB-Simulink two-phase flow domain Vapor Compression Refrigeration cycle. The analyses are done for volume concentrations of 0.1%, 0.3%, and 0.5% of nanoparticles in the base refrigerants. The results are derived mathematically in the Simulink model. The thermophysical properties of base-refrigerants were derived using the NIST Chemistry webbook and various mathematical models were applied to base refrigerants to calculate the properties of nano-refrigerants. The interpolation of the Liquid-vapor region was done using MS Excel. It was found that nano-refrigerants have better heat transfer characteristics and showed the best performance at a lower optimum concentration of 0.1%. Nano-refrigerant combinations have been tested in real-time and model validations; inferences have been duly reported.

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Performance evaluation of a refrigeration system using nanolubricant

Cited by 36 publications

References 34 publications

Evaluation of R600a blended with various quantities of CuO, Al2O3 and SiO2 nanoparticles

Evaluation of R600a blended with various quantities of CuO, Al2O3 and SiO2 nanoparticles

Pressure Drop and Heat Transfer Characteristics of TiO2/R1234yf Nanorefrigerant: A Numerical Approach

Performance analysis of nano-refrigerants used in the vapor compression refrigeration system using MATLAB-Simulink

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