Analytical Model Progress
This week we focused on studying the analytical model to evaluate the potential of integrating solar blinds into AC installations. The model encompasses various parameters, including hourly radiation data, solar radiation, and PVGIS photovoltaic performance. By incorporating these factors, the model aims to assess the energy generation capacity of solar blinds and their impact on AC systems’ energy consumption.
Hourly radiation data serves as a crucial input for the analytical model. This data provides insights into the varying solar radiation levels throughout the day, enabling accurate predictions of energy generation by solar blinds. By analyzing this data from 2016 to 2020, the model can optimize the maxim energy capture during all radiation periods. We aimed to study how cells would capture energy with null slope and azimuth.
The inclusion of the G beam with PVGIS photovoltaic performance enhances the accuracy of the model’s predictions. This parameter accounts for the efficiency of photovoltaic cells in converting solar radiation into electrical energy. By integrating this data, the model can estimate the actual energy output of solar blinds under different environmental conditions, considering factors such as shading and temperature variations.