Photovoltaic power forecasting is essential for maintaining electric grid stability and efficiently integrating solar energy power plants into the national power generation system. However, it remains challenging due to the complexity of accurately predicting solar radiation across varying weather conditions and diverse photovoltaic system configurations. This study addresses these challenges by developing a no...
This study presents an assessment of thermal modeling for photovoltaic modules, focusing on power output prediction using manufacturer-provided data along with irradiance and weather-related variables. Several steady-state thermal models based on empirical correlations were evaluated for computing the temperature of the photovoltaic module. Additionally, a dynamic model was developed based on the energy conserv...
Installed capacity of renewable energy systems keeps growing worldwide in response to climate and socio-economic changes. Among these, photovoltaic power can increase the solar energy contribution in the global mix of energy sources in the near future. Crystalline (mono or poly-crystalline) silicone is the material used in the most widespread photovoltaic modules. Their efficiency depends on several factors and...
Renewable resources, and consequently the generated energy, are especially variable, which makes finding an accurate balance between electricity generation and consumption at any moment challenging in the absence of reliable large capacity energy storage systems. Thus, having an accurate forecasting of the generated energy allows for a more efficient management of the electric grid comprising various energy sou...