Energy simulation of a research campus with typical building setups

The availability of input data and appropriate computing times are two major challenges when simulating entire city districts. For dynamic heat demand simulations, we contribute to these tasks by developing an integral tool chain. To reduce the amount of input data, we automatically create typical datasets of building setups for office buildings according to their year of construction and basic geometric data. We use these datasets to automatically parameterize a dynamic building model. The simplified model is based on a common German standard with an adapted handling of heat transfer. We used the developed tool chain to simulate the buildings’ energy demand of a research campus. The results regarding heat demand and delivery rates show good accordance with measured data.