Exploring an unknown: Representative sample survey on structure and energy-related quality of the non-residential building stock in Germany

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Michael Hörner - , Institut Wohnen und Umwelt (IWU) (Author)
  • Holger Cischinsky - , Institut Wohnen und Umwelt (IWU) (Author)
  • Martin Behnisch - , Chair of Spatial Information and Modelling (gB/IOER), Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Roland Busch - , University of Wuppertal (Author)
  • Julian Bischof - , Institut Wohnen und Umwelt (IWU), Technological University Dublin (Author)
  • Markus Rodenfels - , Institut Wohnen und Umwelt (IWU) (Author)
  • André Hartmann - , Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Robert Hecht - , Chair of Spatial Development and Transformation, Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Gotthard Meinel - , Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Martin Schorcht - , Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Steffen Schwarz - , Leibniz Institute of Ecological Urban and Regional Development (Author)
  • Guido Spars - , University of Wuppertal, Federal Bauakademie Foundation (Author)
  • Ann Katrin Tigges - , University of Wuppertal (Author)

Abstract

The non-residential building stock in Germany, as in many other countries, is not fully represented in any official statistics, in contrast to residential buildings. This is surprising given the economic significance of this asset and its importance as a source of greenhouse gases. The knowledge gap was closed in a representative sample survey providing statistically valid data on structural parameters and energy-related characteristics of the non-residential building stock in Germany. This became possible because by December 2014 authoritative building polygons from all German cadastres were available in a national database for the first time. These geospatial data, adjusted for topological inconsistencies and supplemented with owner information in an on-site screening, were used as a sampling frame in the previously unknown population of the non-residential buildings, a new approach in building stock statistics worldwide. While the geometry of all buildings can be derived from the geospatial data, energy-related characteristics and renovation activities have to be obtained by interviews with the owners of the relevant non-residential buildings in the sample. With this methodology, regular monitoring of building stocks at reasonable costs becomes possible. It also can be transferred to other states with similar geospatial data infrastructure, in particular to other EU Member States.

Details

Original languageEnglish
Article number111407
JournalBuilding and environment
Volume255
Publication statusPublished - 1 May 2024
Peer-reviewedYes

Keywords

Keywords

  • 3D building model, Building energy performance, Building stock, Building typology, Cadastral data, Energy renovation rate, Geospatial data, Horvitz-Thompson estimator, Non-residential building, Representative sample survey