RT Journal Article
T1 The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model
A1 Prieto, Iñaki
A1 Izkara, Jose Luis
A1 Usobiaga, Elena
AB Solar maps are becoming a popular resource and are available via the web to help plan investments for the benefits of renewable energy. These maps are especially useful when the results have high accuracy. LiDAR technology currently offers high-resolution data sources that are very suitable for obtaining an urban 3D geometry with high precision. Three-dimensional visualization also offers a more accurate and intuitive perspective of reality than 2D maps. This paper presents a new method for the calculation and visualization of the solar potential of building roofs on an urban 3D model, based on LiDAR data. The paper describes the proposed methodology to (1) calculate the solar potential, (2) generate an urban 3D model, (3) semantize the urban 3D model with different existing and calculated data, and (4) visualize the urban 3D model in a 3D web environment. The urban 3D model is based on the CityGML standard, which offers the ability to consistently combine geometry and semantics and enable the integration of different levels (building and city) in a continuous model. The paper presents the workflow and results of application to the city of Vitoria-Gasteiz in Spain. This paper also shows the potential use of LiDAR data in different domains that can be connected using different technologies and different scales.
PB Multidisciplinary Digital Publishing Institute (MDPI)
SN 2072-4292
YR 2019
FD 2019-10
LK http://hdl.handle.net/11556/807
UL http://hdl.handle.net/11556/807
LA eng
NO Prieto, Iñaki, Jose Luis Izkara, and Elena Usobiaga. “The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model.” Remote Sensing 11, no. 20 (October 10, 2019): 2348. doi:10.3390/rs11202348.
NO The European Union’s Horizon 2020 research and innovation program under grant agreement No 691883, SMARTENCITY supported and funded this study.
DS TECNALIA Publications
RD 1 jul 2024