On the application of calibrated simulation models in building systems control

Abstract

The research presented in this paper focuses on the implementation and testing of an innovative (integrated and intelligent) model-based (simulation-assisted) strategy for effective passive room cooling in buildings. A control scheme was conceived as follows: at a specific point in time in a typical summer day, the control unit applies simulation to predict how various window operation regimes would affect the indoor temperature over the course of the following day. Thereby, as microclimatic boundary conditions necessary for simulation runs, weather forecast data is applied. To enhance the prediction capability of the simulation model, it was subjected to a systematic calibration effort. Thereby, initial model input assumptions were modified based on the results of a comparison between the model´s initial predictions with the respective measured performance indicators. Results suggest that a predictive control approach that uses a calibrated simulation engine can optimize the operation of windows toward reducing overheating tendencies in buildings.