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In the context of increasing greenhouse gas emission and global demographic change with the simultaneous trend to urbanization, itis a big challenge for cities around the world to perform modifications in energy supply chain and building characteristics resulting inreduced energy consumption and carbon dioxide mitigation. Sound knowledge of energy resource demand and supply including itsspatial distribution within urban areas is of great importance for planning strategies addressing greater energy efficiency. Theunderstanding of the city as a complex energy system affects several areas of the urban living, e.g. energy supply, urban texture,human lifestyle, and climate protection. With the growing availability of 3D city models around the world based on the standardlanguage and format CityGML, energy system modelling, analysis and simulation can be incorporated into these models. Bothdomains will profit from that interaction by bringing together official and accurate building models including building geometries,semantics and locations forming a realistic image of the urban structure with systemic energy simulation models. A holistic view onthe impacts of energy planning scenarios can be modelled and analyzed including side effects on urban texture and human lifestyle.  This paper focuses on the identification, classification, and integration of energy-related key indicators of buildings andneighbourhoods within 3D building models. Consequent application of 3D city models conforming to CityGML serves the purposeof deriving indicators for this topic. These will be set into the context of urban energy planning within the Energy Atlas Berlin. Thegeneration of indicator objects covering the indicator values and related processing information will be presented on the samplescenario estimation of heating energy consumption in buildings and neighbourhoods. In their entirety the key indicators will form anadequate image of the local energy situation for decision making. An approach for extending the CityGML standard for the explicitstorage of these indicators in relation to the according city object will be given by using the concept of CityGML ApplicationDomain Extension (ADE). The aim of this approach is to initiate a discussion process for the specification of a standardized datamodel extension concerning energy assessment into 3D CityGML models, which facilitates the application of the Energy Atlasdecision support concepts within other city models conforming to this standard

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

BUILDING ANALYSIS FOR URBAN ENERGY PLANNING USING KEY INDICATORS ON VIRTUAL 3D CITY MODELS – THE ENERGY ATLAS OF BERLIN