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City of Klagenfurt uses geospatial AI platform to optimise solar energy
The surveying and geoinformation team for Klagenfurt used Hexagon’s AI technology to create a digital twin of the Austrian city in order to calculate the potential solar energy for properties mapped.
The challenge:
Klagenfurt’s surveying team had a goal to map properties with different land use categories in the capital of Carinthia, Austria, to better understand their usage and assess whether photovoltaic and solar thermal systems could be installed on building surfaces.
The solution:
A digital twin was created using AI in HxDR, a cloud-native platform for geospatial data at any scale and M.App Enterprise that monitors and evaluates software. The AI technology incorporated 19,000 individual images taken during a four-and-a-half-hour flight over the city at an altitude of 1,200 metres to generate the digital twin.
The outcome:
Using AI, reality data was captured and then loaded into HxDR to create a map of the total area of properties. The different land use categories were documented to better understand how properties within the city are utilised. Roofs generating substantial solar energy were shown in 3D with a colour scale that indicated the level of energy yielded. The digital twin even calculated the effect of the shadows cast by each tree, both in summer and winter, to give a precise calculation of the solar energy potential of each home and business in Klagenfurt. This information is now publicly available in an online portal that was created by the Solar Potential Cadaster of Klagenfurt to help residents evaluate the need for installing a solar power system on their property.