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Journal ArticleDOI

Thermal management for conjugate heat transfer of curved solid conductive panel coupled with different cooling systems using non-Newtonian power law nanofluid applicable to photovoltaic panel systems

Fatih Selimefendigil, +1 more
- 01 Mar 2022 - 
- Vol. 173, pp 107390-107390
TLDR
In this paper , the authors explored thermal performance features for a coupled conjugate thermo-fluid system with different cooling configurations (flat channel (F-C), grooved channel (G-C) and impinging jets (I-J)) by using non-Newtonian nanofluid.
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This article is published in International Journal of Thermal Sciences.The article was published on 2022-03-01. It has received 34 citations till now. The article focuses on the topics: Nanofluid & Reynolds number.

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Citations
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Journal ArticleDOI

Analysis of the effects of porous media parameters and inclination angle on the thermal storage and efficiency improvement of a photovoltaic-phase change material system

TL;DR: In this paper , the impact of the insertion of metal foam on the heat transfer through phase change materials and the electrical efficiency of PV-PCM systems has been numerically investigated, and the results indicated that increasing the inclination angle results in better natural convection of molten PCM and better heat transfer via PCM.
Journal ArticleDOI

Thermal performance of FeO/water nanofluid flow in a newly designed dimpled tube under the influence of non-uniform magnetic field

TL;DR: In this paper , the effect of alternating and constant magnetic fields on heat transfer characteristics of nanofluid flow in a dimpled tube have not been investigated either numerically or experimentally.
Journal ArticleDOI

Multijet impingement heat transfer under the combined effects of encapsulated-PCM and inclined magnetic field during nanoliquid convection

TL;DR: In this article , the phase transition and heat transfer dynamics of a confined multiple jet impinging system with phase change-packed bed (PCM-PB) installed sub-system under magnetic field effects are numerically assessed during hybrid nanoliquid convection.
Journal ArticleDOI

Mathematical model of temperature-dependent flow of power-law nanofluid over a variable stretching Riga sheet

TL;DR: In this article , the power law nanofluid flow over a variable Riga stretching sheet is explored in terms of the variable properties of thermal conductivity and viscosity under heat generation effects.
Journal ArticleDOI

Energy transport boosters of magneto micropolar fluid flowing past a cylinder: A case of laminar combined convection

TL;DR: In this article , two commonly applied oxides of metal and non-metal nanoparticles are immersed in two host liquids: carboxymethyl cellulose-water and kerosene oil and the governing system is converted into a nonlinear system via similarity transformations and then numerically solved using the Keller-box technique.
References
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Journal ArticleDOI

Review of convective heat transfer enhancement with nanofluids

TL;DR: In this paper, the authors summarized the important published articles on the enhancement of the forced convection heat transfer with nanofluids, including simulations, simulations, and experimental results.
Journal ArticleDOI

Enhanced thermal conductivity of TiO2—water based nanofluids

TL;DR: Ding et al. as discussed by the authors used a transient hot-wire apparatus with an integrated correlation model to measure the thermal conductivities of these nanofluids more conveniently, and they also characterized the pH value and viscosity of the nanoparticles.
Journal ArticleDOI

Artificial neural networks in renewable energy systems applications: a review

TL;DR: In this article, the authors present various applications of neural networks mainly in renewable energy problems in a thematic rather than a chronological or any other order, which clearly suggest that artificial neural networks can be used for modelling in other fields of renewable energy production and use.
Journal ArticleDOI

Empirical correlating equations for predicting the effective thermal conductivity and dynamic viscosity of nanofluids

TL;DR: In this article, two empirical correlations for predicting the effective thermal conductivity and dynamic viscosity of nanofluids, based on a high number of experimental data available in the literature, are proposed and discussed.
Journal ArticleDOI

Investigations of thermal conductivity and viscosity of nanofluids

TL;DR: In this paper, a combined experimental and theoretical study on the effective thermal conductivity and viscosity of nanofluids is conducted and two static mechanisms-based models are presented to predict the enhanced thermal conductivities of nanoparticles having spherical and cylindrical nanoparticles.
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