Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical Quantities
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...
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MDPI AG
2025-02-01
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| Series: | Nanomaterials |
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| Online Access: | https://www.mdpi.com/2079-4991/15/4/261 |
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| author | Muhammad Abdul Basit Muhammad Imran Tayyiba Anwar-Ul-Haq Chang-Feng Yan Daniel Breaz Luminita-Ioana Cotîrlă Alin Danciu |
| author_facet | Muhammad Abdul Basit Muhammad Imran Tayyiba Anwar-Ul-Haq Chang-Feng Yan Daniel Breaz Luminita-Ioana Cotîrlă Alin Danciu |
| author_sort | Muhammad Abdul Basit |
| collection | DOAJ |
| description | 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mn>0.1</mn><mo><</mo><mi>ϖ</mi><mo><</mo><mn>1.5</mn></mrow><mo>,</mo><mo> </mo><mrow><mn>0.1</mn><mo><</mo><mi mathvariant="italic">Nr</mi><mo><</mo><mn>3.0</mn></mrow><mo>,</mo><mo> </mo><mrow><mn>0.2</mn><mo><</mo><mi>Pr</mi><mo><</mo><mn>0.5</mn></mrow><mo>,</mo><mo> </mo><mrow><mn>0.1</mn><mo><</mo><mi mathvariant="italic">Sc</mi><mo><</mo><mn>0.4</mn></mrow><mo>,</mo><mo> </mo><mi>and</mi><mo> </mo><mrow><mn>0.1</mn><mo><</mo><mi mathvariant="italic">Pe</mi><mo><</mo><mn>1.5</mn></mrow><mo>.</mo></mrow></semantics></math></inline-formula> 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. |
| format | Article |
| id | doaj-art-46c05465b0bf4a86a256dfed2bbd9ce0 |
| institution | DOAJ |
| issn | 2079-4991 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
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| series | Nanomaterials |
| spelling | doaj-art-46c05465b0bf4a86a256dfed2bbd9ce02025-08-20T02:44:43ZengMDPI AGNanomaterials2079-49912025-02-0115426110.3390/nano15040261Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical QuantitiesMuhammad Abdul Basit0Muhammad Imran1Tayyiba Anwar-Ul-Haq2Chang-Feng Yan3Daniel Breaz4Luminita-Ioana Cotîrlă5Alin Danciu6Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, ChinaDepartment of Mathematics, Government College University Faisalabad, Faisalabad 38000, PakistanDepartment of Mathematics, Government College University Faisalabad, Faisalabad 38000, PakistanGuangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, ChinaDepartment of Mathematics, “1 Decembrie 1918” University of Alba Iulia, 510009 Alba Iulia, RomaniaDepartment of Mathematics, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, RomaniaDepartment of Mathematics, Babes Bolyai University, 400084 Cluj-Napoca, RomaniaNanofluids, 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mn>0.1</mn><mo><</mo><mi>ϖ</mi><mo><</mo><mn>1.5</mn></mrow><mo>,</mo><mo> </mo><mrow><mn>0.1</mn><mo><</mo><mi mathvariant="italic">Nr</mi><mo><</mo><mn>3.0</mn></mrow><mo>,</mo><mo> </mo><mrow><mn>0.2</mn><mo><</mo><mi>Pr</mi><mo><</mo><mn>0.5</mn></mrow><mo>,</mo><mo> </mo><mrow><mn>0.1</mn><mo><</mo><mi mathvariant="italic">Sc</mi><mo><</mo><mn>0.4</mn></mrow><mo>,</mo><mo> </mo><mi>and</mi><mo> </mo><mrow><mn>0.1</mn><mo><</mo><mi mathvariant="italic">Pe</mi><mo><</mo><mn>1.5</mn></mrow><mo>.</mo></mrow></semantics></math></inline-formula> 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.https://www.mdpi.com/2079-4991/15/4/261non-Newtonian/Williamson nanofluidnanotechnologystretching wedgechemical reactionbioconvectionnumerical simulation |
| spellingShingle | Muhammad Abdul Basit Muhammad Imran Tayyiba Anwar-Ul-Haq Chang-Feng Yan Daniel Breaz Luminita-Ioana Cotîrlă Alin Danciu Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical Quantities Nanomaterials non-Newtonian/Williamson nanofluid nanotechnology stretching wedge chemical reaction bioconvection numerical simulation |
| title | Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical Quantities |
| title_full | Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical Quantities |
| title_fullStr | Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical Quantities |
| title_full_unstemmed | Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical Quantities |
| title_short | Advancing Renewable Energy Systems: A Numerical Approach to Investigate Nanofluidics’ Role in Engineering Involving Physical Quantities |
| title_sort | advancing renewable energy systems a numerical approach to investigate nanofluidics role in engineering involving physical quantities |
| topic | non-Newtonian/Williamson nanofluid nanotechnology stretching wedge chemical reaction bioconvection numerical simulation |
| url | https://www.mdpi.com/2079-4991/15/4/261 |
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