The existing building stock provide a possibility for cost-efficient energy efficiency measuresand related reductions in greenhouse-gas emissions. As the rate of renewal in the buildingstockis low, energy efficiency measures need to be applied when renovation is being done inorder to reach climate goals. To increase the renovation rate and realise the potential forsubstantial reductions in energy use, several research and demonstration projects have beencarried out on both a European and Swedish level. In order to evaluate the current state andrenovation potential of the existing building stock on an urban level, a local approach isneeded to understand challenges and possibilities associated with the transformation of thebuilding-stock. To quantify the potential for reducing energy use and greenhouse-gasemissions, building-stock modelling is commonly used. However, these models are oftenbased on using representative buildings and scaling factors. With increased spatial resolution,building descriptions based on representative buildings lose accuracy and as a result,stakeholders operating at a planning or policy level are commonly targeted. This studyproposes a building-specific stock description where each building is treated individually todifferentiate the renovation potential within the building-stock. For this purpose, availabledatabases containing building-specific information has been gathered and processed for themulti-family building stock of the City of Gothenburg. The available data is used to create abuilding-specific stock description and renovation measures are modelled using a bottom-upengineering method and evaluated regarding energy use, environmental impact and costeffectiveness.This thesis with appended papers shows that available data sources can be usedto describe the characteristics of the stock on a building level and model the effect ofrenovation on energy use, environmental impact and cost-effectiveness in order to providedetailed information to policy makers, planners and property owners
