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Stakeholder Specific Multi-Scale Spatial Representation of Urban Building-Stocks
IVL Swedish Environmental Research Institute.
2018 (English)In: ISPRS International Journal of Geo-Information, ISSN 2220-9964, Vol. 173, no 7(5)Article in journal (Refereed) Published
Abstract [en]

Urban building-stocks use a significant amount of resources and energy. At the same time, they have a large potential for energy efficiency measures (EEM). To support decision-making and planning, spatial building-stock models are used to examine the current state and future development of urban building-stocks. While these models normally focus on specific cities, generic and broad stakeholder groups such as planners and policy makers are often targeted. Consequently, the visualization and communication of results are not tailored to these stakeholders.

This paper uses a differentiated building-stock description based on building-specific data and measured energy use from energy performance certificates for multi-family buildings (MFB) in the city of Gothenburg. The building-stock description treats every building as unique, allowing results to be provided at any level of aggregation to suit the needs of the specific stakeholders involved. Calculated energy use of the existing stock is within 10% of the measured energy use.

The potential for EEM in the existing stock is negated by the increased energy use due to new construction until 2035, using a development scenario based on current renovation rates and planned developments. Visualizations of the current energy use of the stock as well as the impact of renovation and new construction are provided, targeting specific local stakeholders.

Place, publisher, year, edition, pages
2018. Vol. 173, no 7(5)
Identifiers
URN: urn:nbn:se:ivl:diva-3675OAI: oai:DiVA.org:ivl-3675DiVA, id: diva2:1572885
Note
A-rapport, A2332Available from: 2021-06-24 Created: 2021-06-24

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf