Digital Twin Design with On-Line Calibration for HVAC Systems in Buildings

Digital twins of HVAC systems show great potential to increase efficiency through operational optimization and predictive maintenance of real processes. We introduce an IoT-based framework that allows the communication between a heat pump and its digital twin as well as further clients like a time series data base and supervisor dashboard. The obtained data is used to calibrate on-line the digital twin. Recalibration is performed to continuously improve the results. Using RMSE for evaluation and system supply temperature as target variable, we meet experimental data with RMSE<1 K automatically within a monthly time horizon.