Centre de documentation
scientifique

Simulation-based total energy demand estimation of buildings using semantic 3D city models / Robert Kaden in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)  

Public [article]  inInternational journal of 3-D information modeling > vol 3 n° 2 (April - June 2014) . - pp 35 - 53 Titre : Simulation-based total energy demand estimation of buildings using semantic 3D city models Type de document : Article/Communication Auteurs : Robert Kaden, Auteur ; Thomas H. Kolbe, Auteur Année de publication : 2014 Article en page(s) : pp 35 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] CityGML [Termes IGN] consommation [Termes IGN] données localisées 3D [Termes IGN] énergie [Termes IGN] modèle numérique du bâti [Termes IGN] représentation spatio-sémantique Résumé : (Auteur) The present climate and environmental policy efforts require comprehensive planning regarding the modification of the energy supply and infrastructures in cities. The strategic planning of the different measures requires a holistic approach and the combination of extensive and complex information. Within this paper, current developments in the context of the project Energy Atlas Berlin are presented. The Energy Atlas Berlin is based on the semantic information model of CityGML and provides an integrative data backbone for the common spatio-semantic representation of the city structure including energy related information of different themes. The virtual 3D city model of Berlin (mainly LOD2 building models) is used as data basis and has been enriched by information of different stakeholders and disciplines. In order to ensure the energy supply, the knowledge about the energy demands of buildings during the planning and optimization of measures is of great strategic importance. Therefore, this paper focuses on the city-wide estimation of the energy demands of buildings including heating, electricity and warm water energy in the city of Berlin using available official geobase and statistical data integrated within the Energy Atlas Berlin. It is explained in detail how the spatial and semantic properties of the 3D building models are being used to estimate these energy demands on an individual building level for the entire city. Numéro de notice : A2014-654 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.4018/ij3dim.2014040103 En ligne : http://dx.doi.org/10.4018/ij3dim.2014040103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75104 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
138-2014021	RAB	Revue	Centre de documentation	En réserve L003	Disponible