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Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics' Role in Engineering Involving Physical Quantities.

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Title: Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics' Role in Engineering Involving Physical Quantities.
Authors: Basit, Muhammad Abdul1,2 (AUTHOR) mabdulbasit@mail.ustc.edu.cn, Imran, Muhammad3,4 (AUTHOR) drmimranchaudhry@gcuf.edu.pk, Anwar-Ul-Haq, Tayyiba3 (AUTHOR), Yan, Chang-Feng1,2 (AUTHOR), Breaz, Daniel5 (AUTHOR) dbreaz@uab.ro, Cotîrlă, Luminita-Ioana6 (AUTHOR) luminita.cotirla@math.utcluj.ro, Danciu, Alin7 (AUTHOR) alin.danciu@ubbcluj.ro
Source: Nanomaterials (2079-4991). Feb2025, Vol. 15 Issue 4, p261. 20p.
Subjects: Heat storage, Convective flow, Heat of reaction, Ordinary differential equations, Nonlinear differential equations, Nanofluids
Abstract: Nanofluids, with their enhanced thermal properties, provide innovative solutions for improving heat transfer efficiency in renewable energy systems. This study investigates a numerical simulation of bioconvective flow and heat transfer in a Williamson nanofluid over a stretching wedge, incorporating the effects of chemical reactions and hydrogen diffusion. The system also includes motile microorganisms, which induce bioconvection, a phenomenon where microorganisms' collective motion creates a convective flow that enhances mass and heat transport processes. This mechanism is crucial for improving the distribution of nanoparticles and maintaining the stability of the nanofluid. The unique rheological behavior of Williamson fluid, extensively utilized in hydrometallurgical and chemical processing industries, significantly influences thermal and mass transport characteristics. The governing nonlinear partial differential equations (PDEs), derived from conservation laws and boundary conditions, are converted into dimensionless ordinary differential equations (ODEs) using similarity transformations. MATLAB's bvp4c solver is employed to numerically analyze these equations. The outcomes highlight the complex interplay between fluid parameters and flow characteristics. An increase in the Williamson nanofluid parameters leads to a reduction in fluid velocity, with solutions observed for the skin friction coefficient. Higher thermophoresis and Williamson nanofluid parameters elevate the fluid temperature, enhancing heat transfer efficiency. Conversely, a larger Schmidt number boosts fluid concentration, while stronger chemical reaction effects reduce it. These results are generated by fixing parametric values as 0.1 < ϖ < 1.5 ,   0.1 < Nr < 3.0 ,   0.2 < Pr < 0.5 ,   0.1 < Sc < 0.4 ,   and   0.1 < Pe < 1.5. This work provides valuable insights into the dynamics of Williamson nanofluids and their potential for thermal management in renewable energy systems. The combined impact of bioconvection, chemical reactions, and advanced rheological properties underscores the suitability of these nanofluids for applications in solar thermal, geothermal, and other energy technologies requiring precise heat and mass transfer control. This paper is also focused on their applications in solar thermal collectors, geothermal systems, and thermal energy storage, highlighting advanced experimental and computational approaches to address key challenges in renewable energy technologies. [ABSTRACT FROM AUTHOR]
Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics&#39; Role in Engineering Involving Physical Quantities.
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  Data: Nanofluids, with their enhanced thermal properties, provide innovative solutions for improving heat transfer efficiency in renewable energy systems. This study investigates a numerical simulation of bioconvective flow and heat transfer in a Williamson nanofluid over a stretching wedge, incorporating the effects of chemical reactions and hydrogen diffusion. The system also includes motile microorganisms, which induce bioconvection, a phenomenon where microorganisms&#39; collective motion creates a convective flow that enhances mass and heat transport processes. This mechanism is crucial for improving the distribution of nanoparticles and maintaining the stability of the nanofluid. The unique rheological behavior of Williamson fluid, extensively utilized in hydrometallurgical and chemical processing industries, significantly influences thermal and mass transport characteristics. The governing nonlinear partial differential equations (PDEs), derived from conservation laws and boundary conditions, are converted into dimensionless ordinary differential equations (ODEs) using similarity transformations. MATLAB&#39;s bvp4c solver is employed to numerically analyze these equations. The outcomes highlight the complex interplay between fluid parameters and flow characteristics. An increase in the Williamson nanofluid parameters leads to a reduction in fluid velocity, with solutions observed for the skin friction coefficient. Higher thermophoresis and Williamson nanofluid parameters elevate the fluid temperature, enhancing heat transfer efficiency. Conversely, a larger Schmidt number boosts fluid concentration, while stronger chemical reaction effects reduce it. These results are generated by fixing parametric values as 0.1 &lt; ϖ &lt; 1.5 , &#160; 0.1 &lt; Nr &lt; 3.0 , &#160; 0.2 &lt; Pr &lt; 0.5 , &#160; 0.1 &lt; Sc &lt; 0.4 , &#160; and &#160; 0.1 &lt; Pe &lt; 1.5. This work provides valuable insights into the dynamics of Williamson nanofluids and their potential for thermal management in renewable energy systems. The combined impact of bioconvection, chemical reactions, and advanced rheological properties underscores the suitability of these nanofluids for applications in solar thermal, geothermal, and other energy technologies requiring precise heat and mass transfer control. This paper is also focused on their applications in solar thermal collectors, geothermal systems, and thermal energy storage, highlighting advanced experimental and computational approaches to address key challenges in renewable energy technologies. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.3390/nano15040261
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        Text: English
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        PageCount: 20
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    Subjects:
      – SubjectFull: Heat storage
        Type: general
      – SubjectFull: Convective flow
        Type: general
      – SubjectFull: Heat of reaction
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      – SubjectFull: Nanofluids
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      – TitleFull: Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics' Role in Engineering Involving Physical Quantities.
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              Text: Feb2025
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