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.

Details

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

Keywords

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