Tanja Osterhage

TEASER: an open tool for urban energy modelling of building stocks

The energy supply of buildings in urban contexts is undergoing significant changes. The increase of renewable sources for electrical and thermal energy generation will require flexible and secure supply systems. To reflect and consider these changes in energy systems and buildings, dynamic simulation is one key element. Sparse and limited access to detailed building information as well as computing time are challenges for building simulation on urban-scale. In addition, data acquisition and modelling for building performance simulation (BPS) are time-consuming and error-prone. To enable the use of BPS on urban-scale, this paper presents TEASER, an open framework for urban energy modelling of building stocks (open-source at https://github.com/RWTH-EBC/TEASER). TEASER provides an interface for multiple data sources, data enrichment and export of ready-to-run Modelica simulation models. The paper presents TEASERs methodology and package structure. Three use cases show TEASERs capabilities on the building, neighbourhood and urban scales.

Retrofit Solutions for Residential Buildings

The complete refurbishment of nine buildings, each containing ten apartments of 72 m2 is presented, and preliminary results are shown. The buildings have a different retrofit scenario in terms of insulation, heat production and delivery, domestic hot water production and air–handling systems. Following the energy saving ordinance for buildings in Germany of the year 2007 [1] each building has been evaluated. A monthly energy balance based on weather data from the German test reference year has been calculated for a one year period. The results show that depending on the refurbishment solution, the retrofit can reduce the energy demand up to 93%, and increases thermal comfort. Within the next three years, the buildings will be monitored in high time resolution. Physical models of the buildings and the components are under development using the modeling language Modelica, and will be validated through measured data. Once validated, the models will be used, for example, to elaborate regulation strategies for...