Master's thesis Ole Odendahl
Dynamic simulation of the building stock and energy distribution system RWTH Aachen/Campus MelatenCopyright: EBC
Dynamic building simulation of the energy consumption is a sophisticated tool for planning and analyzing energetic building behavior. The correct modelling of non-residential buildings is of great importance while inspecting a complete research campus. This makes it possible to measure the energy consumption of the buildings accurately while maintaining a reasonable and affordable computing time.
Therefore we develop a multi zone building model in the modelling language Modelica®. The zone based thermic building behavior is based on the technical German guideline VDI 6007. Furthermore the implementation of versatile mechanical air handling unit models is a key innovation in the field of research.
The time-resolved simulation of Campus Melaten of the RWTH Aachen University for the year 2013 shows that we can achieve a high accuracy with the dynamic simulation by comparing it to corresponding measurement data. Tweaked zoning and the consideration of the energy consumption induced by the air handling unit results in a substantially higher force of expression. Notably buildings with a significant share of laboratory area and thus higher standards regarding the air supply system show an improved energetic consideration in the simulation.
Based on the state of the art a high influence of the central air handling unit on the structure of the energy consumption is anticipated. A comparison of different simulation scenarios confirms the hypotheses qualitatively and empirically. Additionally shows the implementation of a humidification in the air supply model once more a significant improvement in the yearly simulated energy consumption.
Considering the influence of the energy supply network we adjust the simulation time series statistically. By applying a linear regression to the data an excellent coefficient of determination of R 2 > 0.95 can be achieved. The accuracy of reproduction of the measurement data by the city district simulation is on a high level. The chosen assumptions and boundary conditions for the simulation are confirmed and verified by the results of the research.