Workflow automation for combined modeling of buildings and district energy systems

To demonstrate the application of these tools for workflow automation, we analyze a university campus with 39 buildings. In one scenario, an optimization led to an improved heating curve, with which yearly primary energy demand in the model was reduced by 0.9%. In a second scenario, the retrofitting of all building envelopes in the district energy system reduced primary energy demand by 16.0%. These examples showed that the presented approach is suited to evaluate options for improving district energy system, ranging from improved operation to changes in system design, and a combination of both.