Recent advances of nanofluids in micro/nano scale energy transportation

Liu, Changhui; Qiao, Yu; Du, Peixing; Zhang, Jiahao; Zhao, Jiateng; Liu, Chenzhen; Huo, Yujia; Qi, Cong; Rao, Zhonghao; Yan, Yuying

doi:10.1016/j.rser.2021.111346

Cited by 34 publications

(8 citation statements)

References 220 publications

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“…The vials containing the solution were then placed gently in the Soniclean benchtop bath-type ultrasonic vibrator, running for 90 min at 100% power (43 kHz pulse) and filled with water to the operating level recommended by the manufacturer, to agitate the mixture at different temperatures (i.e., 10 • C-50 • C). This kind of particle dispersion method is known as the two-step approach, which is a common procedure used for the production of nanofluids by many researchers [27][28][29]. The bath temperature was maintained throughout the preparation phase by gradually adding cold/hot water inside the ultrasonic tank and extracting any excess water from the device via the attached ejection valve, and the surrounding temperature in which the experiments were conducted was 20 • C.…”

Section: Nanofluids Productionmentioning

confidence: 99%

Effect of Multi-Walled Carbon Nanotubes-Based Nanofluids on Marine Gas Turbine Intercooler Performance

et al. 2021

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Coolants play a major role in the performance of heat exchanging systems. In a marine gas turbine engine, an intercooler is used to reduce the compressed gas temperature between the compressor stages. The thermophysical properties of the coolant running within the intercooler directly influence the level of enhancement in the performance of the unit. Therefore, employing working fluids of exceptional thermal properties is beneficial for improving performance in such applications, compared to conventional fluids. This paper investigates the effect of utilizing nanofluids for enhancing the performance of a marine gas turbine intercooler. Multi-walled carbon nanotubes (MWCNTs)-water with nanofluids at 0.01–0.10 vol % concentration were produced using a two-step controlled-temperature approach ranging from 10 °C to 50 °C. Next, the thermophysical properties of the as-prepared suspensions, such as density, thermal conductivity, specific heat capacity, and viscosity, were characterized. The intercooler performance was then determined by employing the measured data of the MWCNTs-based nanofluids thermophysical properties in theoretical formulae. This includes determining the intercooler effectiveness, heat transfer rate, gas outlet temperature, coolant outlet temperature, and pumping power. Finally, a comparison between a copper-based nanofluid from the literature with the as-prepared MWCNTs-based nanofluid was performed to determine the influence of each of these suspensions on the intercooler performance.

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Section: Nanofluids Productionmentioning

confidence: 99%

Effect of Multi-Walled Carbon Nanotubes-Based Nanofluids on Marine Gas Turbine Intercooler Performance

et al. 2021

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“…Making full use of solar energy is of great significance in reducing fossil energy consumption (Liu et al, 2022). PV power, uses the photovoltaic effect to convert solar energy into electric energy (Liu et al, 2021b), a distributed source of renewable, clean, and flexible energy, is crucial in supplying the world's rising demand for clean energy (Li et al, 2020). It is imperative to vigorously develop new energy power represented by solar energy and promote the grid connection of a high proportion of renewable energy to build a new power system (Qu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Ultra-short-term PV power prediction using optimal ELM and improved variational mode decomposition

Wang

Lin

2023

Front. Energy Res.

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The development of photovoltaic (PV) power forecast technology that is accurate is of utmost importance for ensuring the reliability and cost-effective functioning of the power system. However, meteorological factors make solar energy have strong intermittent and random fluctuation characteristics, which brings challenges to photovoltaic power prediction. This work proposes, a new ultra-short-term PV power prediction technology using an improved sparrow search algorithm (ISSA) to optimize the key parameters of variational mode decomposition (VMD) and extreme learning machine (ELM). ISSA’s global search capability is enhanced by levy flight and logical chaotic mapping to search the optimal number of decomposition and penalty factor of VMD, and VMD adaptively decomposes PV power into sub-sequences with different center frequencies. Then ISSA is used to optimize the initial weight and threshold of ELM to improve the prediction performance of ELM, the optimized ELM predicts each subsequence and reconstructs the prediction results of each component to obtain the final result. Furthermore, isolated forest (IF) and Spearman correlation coefficient (SCC) are respectively used in the data preprocessing stage to eliminate outliers in the original data and determine appropriate input features. The prediction results using the actual data of solar power plants show that the proposed model can effectively mine the key information in the historical data to make more accurate predictions, and has good robustness to various weather conditions.

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“…More studies emerged that explore the efficiency of nanofluids created by suspending nanoparticles in common fluids like paraffin oil, water, motor oil, or ethylene glycol [18]. In this case, nanoparticles act as agents to increase heat transfer rates while improving the thermal properties of the base fluids likewise [19].…”

Section: Introductionmentioning

confidence: 99%

Quasilinear Hyperbolic Systems Applied to Describe the Magnetohydrodynamic Nanofluid Flow

Dayong

2023

Advances in Mathematical Physics

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This study examines the flow of hyperbolic nanofluid over a stretching sheet in three dimensions. The influence of velocity slip on the flow and heat transfer properties of a hyperbolic nanofluid has been investigated. The partial differential equations for nanoparticle solid concentration, energy, and motion were turned into ordinary differential equations. Nanoparticle mass fluxes at boundaries are assumed to be zero, unlike surface concentrations. The influence of the main parameters on flow characteristics, surface friction coefficients, and the Nusselt number has been visualized. The results suggest that Brownian motion has a negligible impact on the heat transfer rate. The ratio of the elastic force to the viscosity force was found to decrease the fluid velocity. The resulting thermophysical properties of nanofluids are in agreement with previous research. The present findings can be used to expand the potential for using nanofluids as a coolant in critical thermophysical and industrial installations.

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Recent advances of nanofluids in micro/nano scale energy transportation

Cited by 34 publications

References 220 publications

Effect of Multi-Walled Carbon Nanotubes-Based Nanofluids on Marine Gas Turbine Intercooler Performance

Effect of Multi-Walled Carbon Nanotubes-Based Nanofluids on Marine Gas Turbine Intercooler Performance

Ultra-short-term PV power prediction using optimal ELM and improved variational mode decomposition

Quasilinear Hyperbolic Systems Applied to Describe the Magnetohydrodynamic Nanofluid Flow

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