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Journal article

Using digitized public accessible building data to assess the renovation potential of existing building stock in a sustainable urban perspective

From

Design and Processes, Department of Civil Engineering, Technical University of Denmark1

Department of Civil Engineering, Technical University of Denmark2

Sustainability, Department of Technology, Management and Economics, Technical University of Denmark3

Quantitative Sustainability Assessment, Sustainability, Society and Economics, Department of Technology, Management and Economics, Technical University of Denmark4

Department of Technology, Management and Economics, Technical University of Denmark5

Being able to assess potentials and obstacles regarding different optimization scenarios for an old building is essential. However, the data needed to provide this information should be operational and suitable for the early design and planning phases of rebuilding or renovation. The purpose of this study is to investigate the possibilities of using information from public registers and databases on existing buildings as possible input data to inform designers and other stakeholders about the renovation potential of existing buildings in urban developments.

This includes evaluating sustainability indicators for indoor climate, energy savings, flexibility, affordability, materials composition, recycling opportunities, etc. Denmark is a frontrunner in digitalizing building data and making them publicly accessible. The results of a mapping of three public building registers and databases show that they – although they were initially established for purposes of taxation, preservation, and energy savings can be put to new use in a circularity perspective.

However, even though Denmark is far in the digitalization of building data, the analysis also shows that there are data gaps, outdated data, and errors in registrations that still need to be addressed. Therefore, this article lists recommendations for developing national or regional digital building data registers to support better decisions about renovation and urban development.

Language: English
Year: 2021
Pages: 103303
ISSN: 22106707 and 22106715
Types: Journal article
DOI: 10.1016/j.scs.2021.103303
ORCIDs: Andersen, Rune , Jensen, Lotte Bjerregaard and Ryberg, Morten

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