Abstract
Abstract In view of the relatively large energy consumption of national building stocks, many cities and municipalities start to prepare energetic building stock models to monitor energy efficiency and plan policies at city or regional scales. In many cases, data on individual buildings is not available. A usual approach to this is the “archetype” approach – classifying the building stock into energetic types (archetypes). This classification is usually based on non-energetic properties available in digital cadastres (construction type, year of construction etc.) and can be a large source of error. We present our research into the difficulties and pitfalls associated with such an approach using the city of Hamburg as an example. In the end, we compare the modelled estimates with consumption data at three different levels to evaluate model performance.
Highlights
In the context of the European climate goals and the German Energy Transition, the demand for heat energy is beginning to receive much attention
The IWU residential building typology was prepared by the Institut Wohnen und Umwelt Darmstadt (IWU) [10] as part of the European TABULA Project and deals with residential buildings and demand for space heating and hot water only
We found out after personal talks with the local administration, that an obligation to note down the construction year was introduced after 1998, so it is unlikely that a building without a construction year in the ALKIS would have been built after this date
Summary
In the context of the European climate goals and the German Energy Transition, the demand for heat energy is beginning to receive much attention. The top-down approach usually involves distributing a total energy amount to spatial units – buildings, census tracts etc. Based on floor areas, population or similar These models are easier to set up, potentially more realistic, but less flexible and less suitable for policy analysis than the bottom-up models. The latter usually involve a digital cadastre with non-energetic information about buildings (size, location, age etc.) which is used for deriving energetic properties based on “archetypes” – representative buildings, with known energetic characteristics.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
