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How to assess energy performance of buildings using modeling based on existing administrative and topographical data

Volker Coors, Matthias Fitzky, Giacomo Martirano, Lars Brugman and Martinus Vranken

(Submission #229)


Abstract

The focus in this presentation is on a use case to compare existing transnational data and models for assessing the energy performance of buildings. It is illustrated how publicly available administrative and topographical data and different energy performance models can be used to support energy policies in Germany and the Netherlands. Several assessment methods will be discussed, in particular the Dutch system for registering an energy performance certificate (EPC) and the German model Simstadt. In the Netherlands the EPC system is partly based on interoperable, nation-wide available (Key) Registers. The main contributors are the key Register for Addresses & Buildings (BAG), the Cadastral Key Register (BRK) and the national energy label database. The "Simstadt" model was developed at the Stuttgart University of Applied Sciences, which allows heating requirement simulations of city districts using 3D city models. For each building, only the respective building use and the year of construction are required as input attributes. Combined with information on ambient regional temperature, solar radiation an energy certificate can be derived for each building. For one of the use cases of the Energy Pilot (ELISE action of the ISA2 Programme) the Simstadt model simulated heating demand based on German and Dutch 3d city sample sets. Multiple analyses were done. For the Dutch city of Zwolle, Dutch preliminary energy performance certificates were compared to energy performance certificates derived from the Simstadt model. A common trend towards unfavorable labels was found. An additional analysis of the German city of Essen included actual energy consumption data. Simstadt outcomes for two 3D models with different levels of detail (LOD1 and LOD2) were compared. A substantial gap between the results was observed. The results and lessons learned will be presented. A number of recommendations on data harmonization will be made and promising topics for further inquiry are suggested.

Categories

Topic Area:  [1.9] Energy (renewable – non-renewable)
Abstract Type:  Oral Presentation

Additional Fields

 
Academic:   Yes
 
Data Provider:   No
 
Data User:   Yes
 
INSPIRE Implementer (IT):   No
 
INSPIRE newbies:   No
 
Policy Officers:   Yes
 
Public Administration (MS/Regional/Local):   Yes
 
Thematic specialists:   Yes
 
Comments:   to be presented in the Energy & Location thematic session


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