Comparative Study on Solar PV Module Performance with Sun Irradiance Trapping Mechanism: Power Generation Forecasting Using Machine Learning

In present study, an experimental investigation deliberates the performance analysis on poly-crystalline photovoltaic (PV) system with the manual arrangement using 2 mm thickness of acrylic sheet. Total three types of solar PV system-based experimental setup are as: (i) normal PV module/without sheet (ii) integration of triangular shape of transparent sheet on PV module surface (iii) rectangular shape of transparent sheet. The experimental investigation performs for all three types of PV arrangements during the entire single-day window from morning to evening to monitor the electrical performance data in terms of voltage (open-circuit) and current (short circuit) primarily. In addition, meteorological data in terms of sun irradiance and solar PV surface temperature is measured during the experimentation. Based on experimental study, the electrical performance comparison shows that the integration of triangular sheet with the solar PV module is responsible for higher performance (22.064W, 1.12A) compared with rectangular shape arrangement (20.4W, 1.02A). The percentage increment of triangular arrangement integration of PV system reveals as 8.92% compared with other approaches. The machine learning algorithm proves the validation of concept and forecasting the power generation.