The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model

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dc.contributor.authorPrieto, IƱaki
dc.contributor.authorIzkara, Jose Luis
dc.contributor.authorUsobiaga, Elena
dc.date.accessioned2019-11-15T11:01:52Z
dc.date.available2019-11-15T11:01:52Z
dc.date.issued2019-10
dc.description.abstractSolar 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.en
dc.description.sponsorshipThe European Unionā€™s Horizon 2020 research and innovation program under grant agreement No 691883, SMARTENCITY supported and funded this study.en
dc.divisionConstrucciĆ³n Sostenibleen
dc.identifier.citationPrieto, IƱaki, Jose Luis Izkara, and Elena Usobiaga. ā€œThe Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model.ā€ Remote Sensing 11, no. 20 (October 10, 2019): 2348. doi:10.3390/rs11202348.en
dc.identifier.doi10.3390/rs11202348en
dc.identifier.issn2072-4292en
dc.identifier.urihttp://hdl.handle.net/11556/807
dc.issue.number20en
dc.journal.titleRemote Sensingen
dc.language.isoengen
dc.page.initial2348en
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/691883/EU/Towards Smart Zero CO2 Cities across Europe/SmartEnCityen
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.keywords3D modellingen
dc.subject.keywordsLiDARen
dc.subject.keywordsCityGMLen
dc.subject.keywordsSolar potentialen
dc.titleThe Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Modelen
dc.typejournal articleen
dc.volume.number11en
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