Numerical investigation of photovoltaic thermal energy efficiency improvement using the backward step containing Cu-Al2O3 hybrid nanofluid

Abstract

The increasing demand for renewable energy sources, such as photovoltaic thermal systems, requires efficient cooling techniques to improve performance. Hybrid nanofluids have shown promise in enhancing the cooling performance of such systems. This work seeks to investigate the effect of varying parameters on the performance of a two-dimensional photovoltaic thermal system using hybrid nanofluids for cooling. This work aims to enhance the performance of two-dimensional photovoltaic thermal systems by using hybrid nanofluids for cooling. The hybrid nanofluids use water as their base fluid and contain a mixture of Copper (Cu) and Aluminia oxide. The photovoltaic thermal system is assumed to have a monocrystalline silicon absorber and a backward step as the flow channel. The conduction and forced convection process will occur on the top two layers of silicon and absorber, respectively, while forced convection will occur in the flow and heat transmission channel. The finite element software COMSOL 6.0 will be used to simulate the issue using the energy and Navier-Stokes equations in a two-dimensional, incompressible, and steady-state problem. A parametric study will be conducted by varying the inlet temperature, Reynolds number, volume fraction of Copper, and height downstream of the backward step channel. The results will be verified using a mesh-independent study and the heat transfer coefficient from the available literature. The study demonstrates that increasing the amount of Cu in the base fluid, the upstream channel's channel height and the corresponding Reynolds number improves the performance of the photovoltaic thermal system.