AN APPLICATION OF RENEWABLE ENERGY SYSTEMS: SHAPE FACTOR ANALYSIS OF MHD EO-MoS2-BASED MAXWELL NANOFLUID PAST A POROUS SINUSOIDAL CYLINDER

The oil-based non-Newtonian nanofluid offers significant benefits to renewable energy systems through their enhanced thermal conductivity, heat-transfer efficiency, and unique viscoelastic properties. These nanofluids are especially valuable in solar thermal systems, geothermal energy, bio-energy, hydrogen production, and energy storage applications. Due to the usages of oil-based non-Newtonian nanofluid, the theme of the present study is to explore the heat and mass transfer aspects of the chemically reactive oil-based molybdenum disulfide (MoS2) stagnative non-Newtonian Maxwell nanofluid flow past a sinusoidal cylinder. Furthermore, the thermal radiation effect is incorporated to model the heat-transfer mechanisms. Suitable similarity transformation is used to reduce the governing equations into nonlinear ordinary differential equations. The resulting nonlinear ordinary differential equations are solved by using the homotopy analysis method and Runge-Kutta-Fehlbeg (RKF) method along with a shooting technique. Flow and heat transfer aspects are discussed through the graphical representations. The higher values of Darcy-Forchheimer, porosity, and Deborah number lead to decrease the velocity fields for both directions. The outcome showed that higher values of the stagnative parameter and Deborah number increased the Cfx by 1.18 and 1.19% for the MoS2 nanofluid in the shape of a brick and it is decreased by 5.05 and 0.13% for the MoS2 nanofluid in the shape of a blade. The heat transfer rate is enhanced 8.02% for the MoS2 nanofluid in the shape of a brick and 6.24% for the MoS2 nanofluid in the shape of a blade by increasing the values of radiative parameter. The investigation of the non-Newtonian Maxwell nanofluid flow through the porous sinusoidal cylinder under the various effects are crucial in the design and optimization of engineering field. Specifically, it can be applied in polymer process, chemical reactors, oil recovery, and energy systems.