Identifikation von Solarpotenzialen im urbanen Gebäudebestand durch Analyse stadttypologischer Strukturen anhand eines semantischen 3D-Stadtmodells
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Contributors
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 |
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Details
Original language | German |
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Pages (from-to) | 115-126 |
Journal | gis.Science - Die Zeitschrift für Geoinformatik |
Volume | 36 |
Issue number | 4 |
Publication status | Published - Jul 2023 |
Peer-reviewed | Yes |