The potential of predictive control in minimizing the electricity cost in a heat-pump heated residential house

This study aims to investigate the energy demand response (DR) actions on energy consumption and cost for a thermal energy storage system with a ground source heat pump in a detached residential house in a cold climate. This aim was applied for two building structures, including light weight passive and massive passive structures. This study introduces a control algorithm based on checking current hourly electricity price (HEP) and trend of future HEPs. This research was carried out with the validated dynamic building simulation tool IDA Indoor Climate and Energy. The results show that the control algorithm reduces annual delivered energy for heating system and energy cost about 12% and 11%, respectively. The results also illustrate that the performance of the control algorithm is independent of the building structure.

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