Thermal and Electrical Performance analysis of Rooftop Solar Photovoltaic Power Generator



The solar energy is the vital source of renewable energy used today and nearly eighty percentage of the energy is absorbed by the surroundings. The mathematical modeling of energy and exergy analysis with both the thermal and electrical quality of polycrystalline PV module has been entailed under different seasonal climatic circumstances of Bhubaneswar, Odisha, India. Different parameters like energy, converted power and exergy efficiencies have been estimated. The simulation results clarify that the efficiency of the above-mentioned parameters are changing with respect to the variation in the wind speed, temperature and solar insolations. The data validation has been performed by using artificial neural network. Ambient temperature, cell temperature, wind speed, solar radiation and time are used as input, and thermal and electrical efficiencies are the outputs in ANN structure. It has been evidently observed that the correlation factor and efficiency are higher in training process when compared to the testing process.

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Energy; Exergy; Solar radiation; Photovoltaic module; Wind speed; ANN;

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