PV Cell Output Power Enhancement by Cooling and Reduction of Reflection Losses from Mirror

Energy demand is increasing rapidly in recent decades due to the growth of population, industrialization, and economic activities worldwide and the reduction of conventional fossil fuel supply. Hence, the photovoltaic (PV) cell is considered the most beneficial natural energy generation from the sun, and it is free, plentiful, clean, and distributed throughout the world and is a primary factor in any other energy production process. The conversion efficiency increment of the PV cell and system would reduce high costs per unit of electricity. A perfect solution might be a modern, economic mirror with a linear solar concentrator lens. The incident radiation is hampered by the booster when the mirrors are connected to the plate. This research has proposed a new model for output power enhancement of PV cell or panel by combining the mirror booster and Artificial Neural Network (ANN) based automated monitoring and cooling system. Therefore, the proposed mirror booster technique has used Maximum Power Point Tracking (MPPT), Perturbation and Observation (P&O) techniques to focus the sunlight on a perpendicular direction. The proposed model is simulated in the MATLAB/ Simulink environment to compare the efficiency of the PV cells with and without the proposed model. The simulation shows average ~54% power increase using our proposed model. In our analysis, we have used different tracking conditions to analyze PV cell output power, current and voltage in detail.