Abstract
The aim of this work is to define profiles of the indoor climate in Danish multifamily residential buildings. Measurements of indoor temperature, relative humidity and CO2 concentration were conducted every five minutes for more than a year in 45 apartments using internet of things sensing devices. Cluster analysis was employed to derive the indoor climate profiles. The relationship between indoor and outdoor climate was analysed through piecewise linear regression. Three different profiles of indoor climate were identified, as well as heating schedule and setpoint temperatures, which may be considered when modelling occupant behaviour and performing building energy simulation.
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