Urbanization causes increasing energy demand within cites. To identify energy saving potentials on city district scale, integral planning approaches are necessary. This paper describes the development of a city information model (CIM) with focus on buildings and energy systems. It accounts for different building and energy system types plus geometry, building physics as well as occupant information. The CIM structure has been implemented on a PostgreSQL database (DB), which has been linked to a

more »

... geographic information system (GIS) to enable graphical data analysis and modification. Considering data uncertainty, the CIM structure supports a simplified city district modeling. Within a case study, DB and a Python tool are used to parameterize buildings for dynamic simulations to estimate the state of retrofit.