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Statistical analysis of radiative solar trough collectors for MHD Jeffrey hybrid nanofluid flow with gyrotactic microorganism: entropy generation optimization

Anup Kumar (Department of Mathematics, Birla Institute of Technology and Science – Pilani, Jhunjhunu, India)
Bhupendra Kumar Sharma (Department of Mathematics, Birla Institute of Technology and Science – Pilani, Jhunjhunu, India)
Bandar Bin-Mohsen (Department of Mathematics, College of Science, King Saud University, Riyadh, Saudi Arabia)
Unai Fernandez-Gamiz (Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU), Bilbao, Spain)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 8 January 2024

Issue publication date: 23 February 2024

212

Abstract

Purpose

A parabolic trough solar collector is an advanced concentrated solar power technology that significantly captures radiant energy. Solar power will help different sectors reach their energy needs in areas where traditional fuels are in use. This study aims to examine the sensitivity analysis for optimizing the heat transfer and entropy generation in the Jeffrey magnetohydrodynamic hybrid nanofluid flow under the influence of motile gyrotactic microorganisms with solar radiation in the parabolic trough solar collectors. The influences of viscous dissipation and Ohmic heating are also considered in this investigation.

Design/methodology/approach

Governing partial differential equations are derived via boundary layer assumptions and nondimensionalized with the help of suitable similarity transformations. The resulting higher-order coupled ordinary differential equations are numerically investigated using the Runga-Kutta fourth-order numerical approach with the shooting technique in the computational MATLAB tool.

Findings

The numerical outcomes of influential parameters are presented graphically for velocity, temperature, entropy generation, Bejan number, drag coefficient and Nusselt number. It is observed that escalating the values of melting heat parameter and the Prandl number enhances the Nusselt number, while reverse effect is observed with an enhancement in the magnetic field parameter and bioconvection Lewis number. Increasing the magnetic field and bioconvection diffusion parameter improves the entropy and Bejan number.

Originality/value

Nanotechnology has captured the interest of researchers due to its engrossing performance and wide range of applications in heat transfer and solar energy storage. There are numerous advantages of hybrid nanofluids over traditional heat transfer fluids. In addition, the upswing suspension of the motile gyrotactic microorganisms improves the hybrid nanofluid stability, enhancing the performance of the solar collector. The use of solar energy reduces the industry’s dependency on fossil fuels.

Keywords

Acknowledgements

Author U.F.-G. appreciates the support of the Government of the Basque Country, Grant N. ELKARTEK 22/85 and ELKARTEK 21/10. The research is supported by Researchers Supporting Project number (RSP2024R158), King Saud University, Riyadh, Saudi Arabia.

Citation

Kumar, A., Sharma, B.K., Bin-Mohsen, B. and Fernandez-Gamiz, U. (2024), "Statistical analysis of radiative solar trough collectors for MHD Jeffrey hybrid nanofluid flow with gyrotactic microorganism: entropy generation optimization", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 34 No. 2, pp. 948-979. https://doi.org/10.1108/HFF-06-2023-0351

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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