Computational and heat transfer analysis of Parabolic Trough Solar Collectors (PTSC) using magnetized hybrid Ree-Eyring nanofluids with variable heat source

Resumo

Parabolic trough solar collectors (PTSC) are widely used for medium-temperature applications, typically
operating within a temperature range of 60–400 C . These systems primarily serve the purpose of heat and
power production. In recent years, solar energy has emerged as a significant source of renewable heat energy. This
study explores the enhancement of heat transfer efficiency by employing a hybrid nanofluid composed of graphene
oxide and alumina alloy (GO-AA7075), analyzing its non-Newtonian characteristics using the Ree-Eyring fluid
model. The study applies the Darcy-Forchheimer condition to evaluate pressure drop due to fluid-solid interactions,
while also examining the effects of thermal elevation and velocity slip over a curved surface. This study
aims to enhance heat transfer effectiveness in parabolic trough solar collectors by utilizing a hybrid nanofluid comprising
graphene oxide and alumina alloy under varying thermal and flow conditions. Using all assumptions on
the geometry, the momentum and energy equations are reduced to non-linear partial differential equations. The
derived highly coupled and non-linear partial differential equations are non-dimensionalized using dimensionless
variables. HAM (Homotopy Analysis Method) is applied to solve the differential equations with the help of Mathematica.
The addition of nanoparticles enhanced the thermal conductivity of the fluids, so enhancing the efficiency
of heat dissipation. The heat transfer efficiency of the hybrid nanofluid is assessed directly at different concentrations
of graphene oxide with alumina alloy, thermal radiation levels, space-dependent heat source, curvature
parameters, and flow rates. The Ree-Eyring fluid model precisely predicts the complex flow behavior and heat
transfer characteristics, enabling the optimization of operational parameters for improved performance. The finding
indicates that the hybrid nanofluid (GO-AA7075) significantly improve heat transfer efficiency. The findings
reveal that the graphene oxide combined with alumina alloy in the base fluid is an effective solution for enhancing
heat transfer efficiency in various engineering applications. The graphs indicate that for greater values of magnetic
parameter the velocity profile declined, while temperature is enhanced.