Spatial analysis of urban housing stocks

Licentiate thesis, 2016

Urban building-stocks must be transformed in order to reduce energy and resource use to achieve climate change mitigation targets. As the rate of renewal in the building-stock is low, energy efficiency measures need to be applied when renovation is being done. In order to evaluate renovation potential of the existing building stock on an urban level, a local approach is needed to understand challenges and possibilities associated with the transformation of the building-stock. By incorporating building-specific information and also considering the building in its setting, a more holistic view can be achieved. For this purpose, available databases containing building-specific information has been gathered and processed for the multi-family building stock of the city of Gothenburg. The available data is used to describe the energy performance of the stock, future renovation needs and is used to create a description of the stock used as input for calculating the energy demand. This thesis with appended papers shows that available data sources can be used to describe the characteristics of the stock on a building level while considering the location and context. Building attributes such as year of construction, value year, property owner, geometric data and energy performance certificates is spatially linked as well as used in modelling the energy performance of buildings to provide detailed and valuable information to policy makers, urban planners and property owners.