Photovoltaic bracket 3D modeling atlas

Can a 3D building model accurately estimate solar PV potential?

Characterization of solar photovoltaic (PV) potential is crucial for promoting renewable energy in rural areas, where there are a large number of roofs and facades ideal for PV module installation. However, accurately estimating solar PV potential on three-dimensional (3D) rural surfaces has been challenging due to the lack of 3D building models.

Can a 3D village model be used to simulate solar radiation?

To validate the approach, we used two realistic 3D village models and two on-site solar radiation measurements. The validated MAPEs for the 3D building models and solar radiation simulation were 13.02% and 12.28%, respectively, demonstrating the effectiveness of the approach.

What is a 3D building model based approach?

The 3D building model-based approach refers to using these models to evaluate solar PV potential [, , , ]. In this process, solar radiation on rooftops and façades is simulated first while considering the influences of the surroundings (e.g., neighboring buildings, vegetation, or rooftop obstructions).

What is a computer vision-based approach to rooftop solar PV?

The computer vision-based approach emerged in this context. It extracts building roofs from high-resolution satellite images with a deep learning-based image semantic segmentation method, then analyzes and determines the rooftop solar PV potential . Huang et al. adopted a U-Net model to recognize urban roofs from open-source images.

Can GIS be used for roof integrated photovoltaic (PV) panels?

GIS is widely considered to be a powerful tool for spatial analysis. Bergamasco and Asinari (2011) presented a methodology to assess the available roof area in Piedmont region for the installation of roof integrated Photovoltaic (PV) panels, stating that previous works mainly assumed the roof area as an input data only.

Can QGIS predict energy production with photovoltaic solar technologies?

The aim of this work is to analyze Urban Building Energy Modeling with a place-based approach using the open-source software QGIS in predicting energy production with photovoltaic solar technologies on the rooftops of the central university campus of Politecnico di Torino.