Identifikation von Solarpotenzialen im urbanen Gebäudebestand durch Analyse stadttypologischer Strukturen anhand eines semantischen 3D-Stadtmodells

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Hanna Poglitsch - , Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Markus Münzinger - , Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Martin Behnisch - , Chair of Spatial Information and Modelling (gB/IOER) (Author)

Abstract

This paper aims to develop a methodological approach for spatial decision support for the development of building-integrated photovoltaics (BIPV) in urban or dense areas, taking structure types and development types into account. By means of a high-resolution and area-wide modeling of the solar irradiation for the building stock of the city of Dresden, suitable areas for BIPV are identified. The city-by-city analysis based on a semantic 3D city model enables an evaluation of the solar irradiation potentials according to building categories and characteristics, thus allowing a comparison between the different city typological structures. Large, low-slope roof surfaces are particularly suitable. As the slope increases, the potential on roofs depends on their orientation. Height and orientation of facades have a stronger influence on their suitability than the building structure.
Translated title of the contribution
Identification of solar potentials in urban building stock through analysis of urban structure types based on a semantic 3D city model

Details

Original languageGerman
Pages (from-to)115-126
Journalgis.Science - Die Zeitschrift für Geoinformatik
Volume36
Issue number4
Publication statusPublished - Jul 2023
Peer-reviewedYes

Keywords

Library keywords