HOW TO PINPOINT ENERGY-INEFFICIENT BUILDINGS? AN APPROACH BASED ON THE 3D CITY MODEL OF VIENNA

• Main Authors: B. Skarbal, J. Peters-Anders, A. Faizan Malik, G. Agugiaro
• Format: Article
• Language: English
• Published: Copernicus Publications 2017-09-01
• Series: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Online Access: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W3/71/2017/isprs-annals-IV-4-W3-71-2017.pdf
• ISSN: 2194-9042; 2194-9050

This paper describes a methodology to assess the energy performance of residential buildings starting from the semantic 3D city model of Vienna. Space heating, domestic hot water and electricity demand are taken into account.<br><br> The paper deals with aspects related to urban data modelling, with particular attention to the energy-related topics, and with issues related to interactive data exploration/visualisation and management from a plugin-free web-browser, e.g. based on Cesium, a WebGL virtual globe and map engine.<br><br> While providing references to existing previous works, only some general and introductory information is given about the data collection, harmonisation and integration process necessary to create the CityGML-based 3D city model, which serves as the central information hub for the different applications developed and described more in detail in this paper.<br><br> The work aims, among the rest, at developing urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities.<br><br> The results obtained so far, as well as some comments about their quality and limitations, are presented, together with the discussion regarding the next steps and some planned improvements.