Back to Search Start Over

ENABLING 'ENERGY-AWARENESS' IN THE SEMANTIC 3D CITY MODEL OF VIENNA

Authors :
G. Agugiaro
Source :
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4/W1, Pp 81-88 (2016)
Publication Year :
2016
Publisher :
Copernicus Publications, 2016.

Abstract

This paper presents and discusses the first results regarding selection, analysis, preparation and eventual integration of a number of energy-related datasets, chosen in order to enrich a CityGML-based semantic 3D city model of Vienna. CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. The still-in-development Energy Application Domain Extension (ADE) is a CityGML extension conceived to specifically model, manage and store energy-related features and attributes for buildings. The work presented in this paper is embedded within the European Marie-Curie ITN project “CINERGY, Smart cities with sustainable energy systems”, which aims, among the rest, at developing urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities. Given the scope and scale of the project, it is therefore vital to set up a common, unique and spatio-semantically coherent urban data model to be used as information hub for all applications being developed. This paper reports about the experiences done so far, it describes the test area in Vienna, Austria, and the available data sources, it shows and exemplifies the main data integration issues, the strategies developed to solve them in order to obtain the enriched 3D city model. The first results as well as some comments about their quality and limitations are presented, together with the discussion regarding the next steps and some planned improvements.

Details

Language :
English
ISSN :
21949042 and 21949050
Volume :
IV-4/W1
Database :
Directory of Open Access Journals
Journal :
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.867ee94a10174dce812b13832147b7ad
Document Type :
article
Full Text :
https://doi.org/10.5194/isprs-annals-IV-4-W1-81-2016