Solar Potential Uncertainty in Building Rooftops as a Function of Digital Surface Model Accuracy

Solar cadasters are excellent tools for determining the most suitable rooftops and areas PV deployment in urban environments. There several open models that available to compute solar potential cities. The Energy on Building Envelopes (SEBE) is a powerful model incorporated geographic information system (QGIS). main input these digital surface (DSM). accuracy of DSM can contribute significantly uncertainty potential, since it basis shading sky view factor computation. This work explores impact two different methodologies creating potential. estimated small area university campus Madrid using photogrammetry from google imagery LiDAR data DSM. Large differences could be observed building edges with more complex diverse topology resulted significant RSMD at measuring point rooftop range 10% 50% evaluation results. However, flat clear much less affected by differences. A combination both techniques suggested as future create an accurate