Estimation of the energetic rehabilitation state of buildings for the city of Berlin using a 3D city model represented in CityGML

We propose and describe a method for the estimation of the energetic rehabilitation state of buildings. It combines a virtual 3D city model with real measured heating energy data in order to determine energetic relevant building characteristics. Among these characteristics are, e.g., the volume, the assignable area, the building type or the surface-to-volume ratio (S/V). Using these values the energy consumption characteristic, which is normally given in kWh/m2, can be calculated. This allows to classify a building into predefined heating classes. Additionally, an estimation of the energy consumption of buildings is calculated on the basis of building typologies and is compared to the real consumption values. Using these results, estimations of the energetic rehabilitation are derived.     «

We propose and describe a method for the estimation of the energetic rehabilitation state of buildings. It combines a virtual 3D city model with real measured heating energy data in order to determine energetic relevant building characteristics. Among these characteristics are, e.g., the volume, the assignable area, the building type or the surface-to-volume ratio (S/V). Using these values the energy consumption characteristic, which is normally given in kWh/m2, can be calculated. This allows to...     »