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Reliably reducing the emissions in the building sector plays a crucial role if the 1.5°C climate target from the Paris Agreement is to be met. The observed trends show a significant increase in building energy use, especially in emerging economies. Counteracting these trends is absolutely essential, especially in the light of urbanisation, population growth and changing lifestyles. In terms of mitigating the climate impact of buildings, ensuring high levels of efficiency (i.e. very low energy needs, especially for heating and cooling) has the greatest potential for saving energy and emissions, and is at the same time the prerequisite for effective use of energy from renewable sources. Clearly defined targets and suitable metrics are essential to enable appropriate design decisions. Implemented projects clearly indicate that quality assured design and construction lead to reliable in-use energy performance. Effective policy packages to address opportunities and challenges are important drivers to support the uptake of state-of-the-art efficiency measures in the urban building sector.
Living-Lab-as-a-Service : exploring the market and sustainability offers of living labs in Germany
(2018)
Energy and climate change
(2018)
Energy system optimization models (ESOMs) such as MARKAL/TIMES are used to support energy policy analysis worldwide. ESOMs cover the full life-cycle of fuels from extraction to end-use, including the associated direct emissions. Nevertheless, the life-cycle emissions of energy equipment and infrastructure are not modelled explicitly. This prevents analysis of questions relating to the relative importance of emissions associated with the build-up of infrastructure and other equipment required for decarbonization.
As part of this dissertation, a categorisation of the social costs of electricity supply is suggested. The following three main cost categories are differentiated: plant-level costs, system costs and external costs. Different types of costs are allocated to these categories and are examined and quantified (to the extent possible) for several power generation technologies. The limits of monetizing certain types of costs are also discussed. In a further step, and based on a large number of empirical studies, individual factors that have had a significant influence on the development of plant-level costs in the past, are identified and categorized. Finally, based on an online survey conducted among energy modellers, the dissertation examines to what extent the identified relevant types of costs and cost-influencing factors are taken into account in different types of energy models.