Influence of particle size on the effective thermal conductivity of nanofluids: A critical review

Ambreen, Tehmina; Kim, Man-Hoe

doi:10.1016/j.apenergy.2020.114684

Cited by 171 publications

(55 citation statements)

References 139 publications

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“…In addition, in order to ensure the accuracy of the experimental data, 3 data were measured in the experiment for the same working condition. The preparation of nanofluids can be divided into one-step and two-step methods [10]. The one-step method is to prepare nanofluids in one step and distribute them evenly in the fluid while synthesizing nanoparticles.…”

Section: Methodsmentioning

confidence: 99%

Research on convective heat transfer characteristics of Fe3O4 magnetic nanofluids under vertical magnetic field

et al. 2022

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This paper focuses on the convective heat transfer characteristics of Fe3O4 /Water magnetic nanofluids under laminar and turbulent conditions. After verifying the accuracy of the experimental apparatus, the effects of magnetic field strength, concentration, Reynolds number and temperature on the convective heat transfer coefficient have been studied. The convective heat transfer characteristics of nanofluids under laminar and turbulent flow conditions were studied in depth, and the influence of each factor on the heat transfer coefficient was analyzed by orthogonal experimental design method. Under the laminar flow conditions, the convective heat transfer of magnetic nanofluids performed best when the Reynolds number was 2000, the magnetic field strength was 600, the temperature was 30? and the concentration was 2%. And the convective heat transfer coefficient (h) increased by 3.96% than the distilled water in the same conditions. In turbulent state, the convective heat transfer of magnetic nanofluids performed the best when the Re was 6000, the magnetic field strength was 600, the temperature was 40? and the concentration was 2%. The h increased by 11.31% than the distilled water in the same Reynolds number and the magnetic field strength conditions.

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Section: Methodsmentioning

confidence: 99%

Research on convective heat transfer characteristics of Fe3O4 magnetic nanofluids under vertical magnetic field

et al. 2022

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“…The cold side of the TE also can be connected to cooling devices. [44,45,46,47] For indirect-coupled PV-TE hybrid system, PV cell and TE are separated in space. Considering the spectral response of PV cell, the photon energy of the sunlight higher than the band gap of PV cell is utilized by PV cell, while the photon energy of the sunlight lower than the band gap of PV cell is transferred to the TE.…”

Section: Methodsmentioning

confidence: 99%

Full-Spectrum Solar Energy Utilization and Enhanced Solar Energy Harvesting via Photon Anti-Reflection and Scattering Performance Using Nanophotonic Structure

Liang¹,

Wang²,

Cheng³

et al. 2020

ES Energy Environ.

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Conventional Si photovoltaic cells cannot convert full solar energy spectrum (400~2 500 nm) into electricity owing to the mismatch between Si band gap and broad range of solar photon energies. Transparent silicon PV cell allows sunlight in the wavelength of 1 100~2 500 nm to transmit through itself and irradiate on the thermal absorber below. The traditional photon management method based on texturing silicon layer with nanostructures can enhance 400~1 100 nm absorptivity and 1 1002 500 nm transmittance of transparent silicon PV cell. However, an increase in charge carrier capture and a decrease in electricity generation efficiency are often observed with this. In this study, a novel spectral splitting method based on frontlocated wavelength-sized TiO 2 biomimetic moth-eye nanophotonic structure is put forward, which can inhibit the increase of charge carrier capture and recombination. The biomimetic moth-eye nanophotonic structure was optimized by using finitedifference time-domain (FDTD) method to achieve excellent photon anti-reflection and scattering properties. The calculation results indicated that the absorption factor and transmission factor of transparent silicon PV cell could be increased from 46% to 58% and from 11% to 14%; the relative power conversion efficiency enhancement rate and relative incident radiation power enhancement rate was 32% and 27% when the TiO 2 biomimetic moth-eye was adopted.

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“…Additionally, the reduced tendency of sedimentation, channel clogging and negligible pressure drop make nanofluids appealing for the advanced thermal engineering systems [3][4][5][6]. The hydrothermal performance of the nanofluids is characterised by nanoparticle loading, morphology, hosting fluid thermophysical properties and operational temperature [7][8][9][10]. The assessment of hydrothermal characteristics of nanofluids for practical applications is essentially dependent on their accurate modelling, particularly in comparison with high-cost experimental investigations.…”

Section: Introductionmentioning

confidence: 99%

Homogeneous and Multiphase Analysis of Nanofluids Containing Nonspherical MWCNT and GNP Nanoparticles Considering the Influence of Interfacial Layering

2021

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The practical implication of nanofluids is essentially dependent on their accurate modelling, particularly in comparison with the high cost of experimental investigations, yet the accuracy of different computational approaches to simulate nanofluids remains controversial to this day. Therefore, the present study is aimed at analysing the homogenous, multiphase Eulerian–Eulerian (volume of fluid, mixture, Eulerian) and Lagrangian–Eulerian approximation of nanofluids containing nonspherical nanoparticles. The heat transfer and pressure drop characteristics of the multiwalled carbon nanotubes (MWCNT)-based and multiwalled carbon nanotubes/graphene nanoplatelets (MWCNT/GNP)-based nanofluids are computed by incorporating the influence of several physical mechanisms, including interfacial nanolayering. The accuracy of tested computational approaches is evaluated by considering particle concentration and Reynolds number ranges of 0.075–0.25 wt% and 200–470, respectively. The results demonstrate that for all nanofluid combinations and operational conditions, the Lagrangian–Eulerian approximation provides the most accurate convective heat transfer coefficient values with a maximum deviation of 5.34% for 0.25 wt% of MWCNT–water nanofluid at the largest Reynolds number, while single-phase and Eulerian–Eulerian multiphase models accurately estimate the thermal fields of the diluted nanofluids at low Reynolds numbers, but overestimate the results for denser nanofluids at high Reynolds numbers.

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Influence of particle size on the effective thermal conductivity of nanofluids: A critical review

Cited by 171 publications

References 139 publications

Research on convective heat transfer characteristics of Fe3O4 magnetic nanofluids under vertical magnetic field

Research on convective heat transfer characteristics of Fe3O4 magnetic nanofluids under vertical magnetic field

Full-Spectrum Solar Energy Utilization and Enhanced Solar Energy Harvesting via Photon Anti-Reflection and Scattering Performance Using Nanophotonic Structure

Homogeneous and Multiphase Analysis of Nanofluids Containing Nonspherical MWCNT and GNP Nanoparticles Considering the Influence of Interfacial Layering

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