Solar-thermal conversion performance of heterogeneous nanofluids

Chen, Xingyu; Chen, Meijie; Zhou, Panyue

doi:10.1016/j.renene.2022.08.065

Cited by 15 publications

(4 citation statements)

References 34 publications

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“…These important factors, too, optimize solar radiation. All these features are displayed in Figures (3)(4)(5)(6)(7)(8)(9) and are also presented in numerical tables.…”

Section: Discussionmentioning

confidence: 99%

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Irreversibility Analysis through Neural Networking of the Hybrid Nanofluid for the Solar Collector Optimization

Alharbi

Gul

Khan

et al. 2023

Preprint

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Advanced techniques are used to increase the efficiency of the energy assets and maximize the appliance efficiency of the main resources. In the recent study, the focus is paid to the solar collector to cover thermal radiation through optimization and enhance the performance of the solar panel. Hybrid nanofluids (HNs) consist of a base liquid (C3H8O2) glycol whereas copper (Cu), and aluminum oxide (Al2O3) are used as nanomaterials for formation (HNs). The flow of the stagnation point is considered in the presence of the Riga plate. The state of the solar thermal system is termed viva stagnation to control the additional heating through the flow variation in the collector loop. The inclusion of entropy generation and Bejan number formation is primarily conceived under the influence of physical parameters for energy optimization. The computational analysis was carried out utilizing the control volume finite element method (CVFEM), and Runge–Kutta 4 (RK-4) methods. The results are further validated through a machine learning neural networking procedure. The conclusions showed that the heat transfer rate is greatly upgraded with a variation of the nanoparticle's volume fraction. We expect this improvement to progress the stability of heat transfer in the solar power system.

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“…These important factors, too, optimize solar radiation. All these features are displayed in Figures (3)(4)(5)(6)(7)(8)(9) and are also presented in numerical tables.…”

Section: Discussionmentioning

confidence: 99%

“…Numerous scientists and researchers have good practice in nanofluids usage in various fields [1,2,3,4,5]. In this regard, Manjunatha et al [6] presented the convective heat in ternary nanofluids flowing through a stretching surface.…”

Section: Introductionmentioning

confidence: 99%

Irreversibility Analysis through Neural Networking of the Hybrid Nanofluid for the Solar Collector Optimization

Alharbi

Gul

Khan

et al. 2023

Preprint

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“…[18][19][20] An effective solution is to combine the SHS with solar heating, [20][21][22][23][24][25][26] which can increase the surface temperature by absorbing solar radiation. [27][28][29][30] In addition, the SHS can rapidly remove melted water and maintain high solar-thermal performance. Various materials are used to prepare solar-thermal superhydrophobic surfaces.…”

Section: Introductionmentioning

confidence: 99%

Multi‐Scale Superhydrophobic Surface with Excellent Stability and Solar‐Thermal Performance for Highly Efficient Anti‐Icing and Deicing

Zhang,

Yan,

Chen

2024

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Ice accretion can significantly impact the efficiency and safety of outdoor equipment. Solar‐thermal superhydrophobic surface is an effective strategy for anti‐icing and deicing. However, droplets easily turn to the Wenzel state during the icing and melting cycle processes, significantly increasing the adhesion and making the droplets difficult to remove from the surface. In this work, a triple‐scale solar‐thermal superhydrophobic surface is prepared on stainless steel 304 by etching, in situ oxidation, and spin‐coating TiN nanoparticles for highly efficient deicing and anti‐icing. The multi‐scale structure enabled the droplets to recover the Cassie state completely after melting. The contact angle decreased from 162.5° to 136.7° during the icing process and gradually increased to 162.1° during the melting process. In addition, metal oxides and TiN nanoparticles enabled the superhydrophobic surface to exhibit a high solar absorptivity ( = 0.925). The synergistic effect of the superhydrophobicity and the solar‐thermal performance endowed the designed multi‐scale surface with excellent anti‐icing and deicing performance. This work contributed to the practical development of anti‐icing and deicing applications based on solar‐thermal superhydrophobic surfaces.

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“…So far, numerical approaches have been adapted to investigate the behaviour of NFs for heat transfer performance in minichannels [31] and microchannels [32], and a good agreement with experimental data for numerous situations has been presented, for example, the NFs with non-Newtonian rheology behaviour [33]. Furthermore, various computational techniques were introduced in previous investigations on NFs for different heat transfer applications, for instance solar thermal energy applications where optical properties of NFs are also important [34], cooling electronics and automotive vehicles, etc. [8,35].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Thermophysical and Electrical Properties of SiC and BN Nanofluids

Ajeeb

Murshed

2023

Energies

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Experimental data associated with the thermophysical properties (TPPs) of various nanofluids (NFs) are essential for their diverse applications in energy storage and conversion, as well as thermal management. This study experimentally investigated important TPPs such as thermal conductivity (TC), thermal diffusivity, density and viscosity, as well as the electrical conductivity of two new types of NFs, namely silica (SiC) and boron nitride (BN) nanofluids. The NFs are prepared at five low concentrations of nanoparticles from 0.01 to 0.05 vol.% dispersed into a mixture of ethylene glycol (EG) and distilled water (DW). The TPPs are measured, and their enhancements are evaluated in comparison with their base fluids. The results show a good increase in TC and thermal diffusivity for both types of nanofluids with increasing concentrations until reaching the maximum enhancement of about 4.4% for the SiC nanofluid and about 7.0% for the BN nanofluid at the same concentration (0.05 vol.%). On other hand, a Newtonian rheological behaviour is observed, and viscosity and density are also found to increase for both types of NFs, where the maximum increase in viscosity and density at 0.05 vol.% are found to be 5.2% and 0.3%, respectively. The electrical conductivity also increases by up to 3.2 times for SiC nanofluids and 2.8 times for BN nanofluids at the maximum concentration of these nanoparticles (0.05 vol.%) compared with the base fluid (EG/DW). The overall evaluation of the obtained results demonstrates the great potential of these nanofluids in heat transfer applications.

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Solar-thermal conversion performance of heterogeneous nanofluids

Cited by 15 publications

References 34 publications

Irreversibility Analysis through Neural Networking of the Hybrid Nanofluid for the Solar Collector Optimization

Irreversibility Analysis through Neural Networking of the Hybrid Nanofluid for the Solar Collector Optimization

Multi‐Scale Superhydrophobic Surface with Excellent Stability and Solar‐Thermal Performance for Highly Efficient Anti‐Icing and Deicing

Characterization of Thermophysical and Electrical Properties of SiC and BN Nanofluids

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