Exploring an unknown: Representative sample survey on structure and energy-related quality of the non-residential building stock in Germany
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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 language | English |
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Article number | 111407 |
Journal | Building and environment |
Volume | 255 |
Publication status | Published - 1 May 2024 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
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