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.

中文翻译：

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具有旋转微生物的 MHD Jeffrey 混合纳米流体流的辐射太阳能槽式收集器的统计分析：熵生成优化

目的

槽式抛物面太阳能集热器是一种先进的聚光太阳能技术，可显着捕获辐射能。太阳能将帮助不同行业满足使用传统燃料的地区的能源需求。本研究旨在研究在抛物面槽式太阳能集热器中运动回转微生物与太阳辐射的影响下，优化 Jeffrey 磁流体动力学混合纳米流体流中的传热和熵产生的灵敏度分析。本研究还考虑了粘性耗散和欧姆加热的影响。

设计/方法论/途径

控制偏微分方程是通过边界层假设导出的，并借助适当的相似变换进行无量纲化。使用 Runga-Kutta 四阶数值方法和计算 MATLAB 工具中的射击技术对所得的高阶耦合常微分方程进行数值研究。

发现

速度、温度、熵产生、贝扬数、阻力系数和努塞尔数等影响参数的数值结果以图形方式呈现。据观察，增加熔化热参数和普兰德数的值会增强努塞尔数，而随着磁场参数和生物对流路易斯数的增强，观察到相反的效果。增加磁场和生物对流扩散参数可以提高熵和贝让数。

原创性/价值

纳米技术因其引人入胜的性能以及在传热和太阳能存储方面的广泛应用而引起了研究人员的兴趣。与传统传热流体相比，混合纳米流体具有许多优点。此外，运动的旋转微生物的上升悬浮提高了混合纳米流体的稳定性，从而增强了太阳能集热器的性能。太阳能的使用减少了该行业对化石燃料的依赖。