reach the energy target of a fossil-fuel free heating supply by 2035 in
Denmark, the use of peak load boilers has to be eliminated. We plan to conduct experiments on heating-load peak
shaving in smart homes in heating season 2018/19 to investigate the
effect of night setback and morning heating cut-off on the morning peak heating
demand. The experiments will be conducted in 20 smart apartments in Nordhavn,
Copenhagen. The operation of heating systems will be optimized based on the historical data and the experiments using data-driven approaches.
The apartments are equipped
with home management system, smart thermostat, home energy display,
occupancy-based lighting control, etc. In addition, occupants can also access
to their home management system via an app installed in their smart phones. The
thermal response of building thermal mass and occupant thermal comfort will be studied with sensors/questionnaires.
In collaboration withHOFOR A/S, Balslev A/S