Solar energy and Solar Cadastre

Today, Photovoltaics (PV), also called solar cells, is one of the fastest-growing renewable energy technologies and is ready to play a significant role in the future global electricity generation mix.

Solar resource assessments are a core method for developing and deploying solar energy plants. In turn, 3D buildings and 3D vegetation are key initial sources for evaluating solar resource availability and running solar energy simulations.

High-accuracy 3D datasets provide high solar project value and increase its performance. Therefore, data details, accuracy, and relevance are critical parameters for solar resource assessment and modeling.

Produced from HR stereo images, aerial images, or LIDAR data, LOD2 3D buildings manufactured by Visicom involve such small elements as roof furniture, elevator shafts, towers, spires, and sloping roof elements.

The assigned roof parameters:

• Azimuth
• Tilt angle
• Area of flat parts
• Roof height
• Roof ID
• AGL/AMSL

These parameters are calculated for each element separately, creating the background for producing solar rooftop maps (solar cadaster). The high accuracy of the building elements’ footprints is tailored explicitly to the estimation and calculation of the solar energy potential for each roof.

A complete set of 3D data may include the following:

• Digital Terrain Model
• Digital Surface Model
• 3D buildings
• 3D vegetation crowns
• Orthoimage