The application of lidar data for the solar potential analysis based on urban 3D model

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dc.contributor.authorPrieto, I.
dc.contributor.authorIzkara, J. L.
dc.contributor.authorUsobiaga, E.
dc.contributor.editorThemistocleous, Kyriacos
dc.contributor.editorPapadavid, Giorgos
dc.contributor.editorMichaelides, Silas
dc.contributor.editorAmbrosia, Vincent
dc.contributor.editorHadjimitsis, Diofantos G.
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionLABORATORIO DE TRANSFORMACIÓN URBANA
dc.date.accessioned2024-07-24T11:50:18Z
dc.date.available2024-07-24T11:50:18Z
dc.date.issued2019
dc.descriptionPublisher Copyright: © 2019 SPIE. Downloading of the abstract is permitted for personal use only.
dc.description.abstractThis paper describes the methodology proposed for 1) calculate solar potential; 2) generate an urban 3D model, both based on LIDAR data; 3) semantize the urban 3D model with different data sources and calculations data for finally, 4) visualize the urban 3D model in a 3D web visualization tool. As a first step, digital surface model data of the case study is preprocessed selecting only building and ground points in order to later calculate the solar potential in a GIS tool. A workflow is presented describing the followed steps. In the second step, an urban 3D model is generated (in CityGML format) using cadastral data and LIDAR data, both digital surface and digital terrain model. Then, in the third step, the urban 3D model is semantized with a) buildings data (that comes from cadastral and statistical office), b) geometrical data such as main building orientation, number of adjoining walls, etc. (that comes from a geometric processing tool), c) key performance indicators data (that are calculated based on the urban 3D model data) and d) solar potential data, which have been calculated in the previous step. In the fourth step, all the gathered data is presented and can be filtered/selected in a 3D web visualization tool. This paper shows the potential of the usage of LIDAR data in different domains that can be connected using different technologies and in different scales.en
dc.description.sponsorshipThe work described in this article is partially funded by SmartEnCity (Towards Smart Zero CO2 Cities across Europe) project, Grant Agreement Number 691883, 2016-2021, as part of the European Union’s Horizon 2020 research and innovation programme. The work described in this article is partially funded by SmartEnCity (Towards Smart Zero CO2 Cities across Europe) project, Grant Agreement Number 691883, 2016-2021, as part of the European Union's Horizon 2020 research and innovation programme.
dc.description.statusPeer reviewed
dc.identifier.citationPrieto , I , Izkara , J L & Usobiaga , E 2019 , The application of lidar data for the solar potential analysis based on urban 3D model . in K Themistocleous , G Papadavid , S Michaelides , V Ambrosia & D G Hadjimitsis (eds) , Seventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019 . , 1117418 , Proceedings of SPIE - The International Society for Optical Engineering , vol. 11174 , SPIE , 7th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019 , Paphos , Cyprus , 18/03/19 . https://doi.org/10.1117/12.2531938
dc.identifier.citationconference
dc.identifier.doi10.1117/12.2531938
dc.identifier.isbn9781510630611
dc.identifier.issn0277-786X
dc.identifier.urihttps://hdl.handle.net/11556/1963
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85073909688&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSPIE
dc.relation.ispartofSeventh International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2019
dc.relation.ispartofseriesProceedings of SPIE - The International Society for Optical Engineering
dc.relation.projectIDEuropean Union's Horizon 2020
dc.relation.projectIDHorizon 2020 Framework Programme, H2020, 691883
dc.relation.projectIDQuad Cities Community Foundation, 2016-2021
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywords3D-Modelling
dc.subject.keywordsCityGML
dc.subject.keywordsLIDAR
dc.subject.keywordsSolar Potential
dc.subject.keywordsElectronic, Optical and Magnetic Materials
dc.subject.keywordsCondensed Matter Physics
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsApplied Mathematics
dc.subject.keywordsElectrical and Electronic Engineering
dc.titleThe application of lidar data for the solar potential analysis based on urban 3D modelen
dc.typeconference output
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