This study proposes a methodology for intelligent scheduling of a heat pump installed in a refurbished grid-connected detached house in Denmark. This scheduling is conducted through the coupling of a dynamic building simulation tool with an optimization tool. The optimization of the operation of the system is based on a price-signal considering a three-day period for different weather cases. The results show that the optimal scheduling of the system is successful in terms of reducing the peak load during times when electricity prices are high, thus achieving cost savings as well as maintaining good thermal comfort conditions. The proposed methodology bridges dynamic building modelling with optimization of real-time operation of HVAC systems offering a detailed model for building physics, especially regarding thermal mass and a stochastic price-based control.
|Publication status||Published - 2017|
|Event||Building Simulation 2017: The 15th International Conference of IBPSA - San Francisco, United States|
Duration: 7 Aug 2017 → 9 Aug 2017
Conference number: 15
|Conference||Building Simulation 2017|
|Period||07/08/2017 → 09/08/2017|