Abstract
This work presents a novel occupancy simulation model for residential buildings. The main contribution is that occupancy is simulated at room level, as opposed to more course spatial resolutions in previous studies. The model is based on a time-use survey conducted in Denmark including several thousand households. It is formulated as an inhomogeneous hidden Markov model. The simulated occupancy profiles take into account the variables week day, time of day, occupant age and family type. Preliminary results show that they are in good agreement with the measurements.
Highlights
IntroductionIn the field of building energy simulation there has been an increased attention in recent years to the modelling of occupant behaviour
In the field of building energy simulation there has been an increased attention in recent years to the modelling of occupant behaviour. The reason for this is that it has been generally acknowledged that the behaviour of the occupants has a significant influence on the energy performance of a building. This influence materialises in substantial differences in energy consumption of designed dwellings [1, 2], which becomes a challenge for predictions of the building energy use
The term ”building performance gap”, which has become a familiar expression in the field of building energy simulation, describes a mismatch between estimated and real energy consumption in buildings
Summary
In the field of building energy simulation there has been an increased attention in recent years to the modelling of occupant behaviour. The reason for this is that it has been generally acknowledged that the behaviour of the occupants has a significant influence on the energy performance of a building. The term ”building performance gap”, which has become a familiar expression in the field of building energy simulation, describes a mismatch between estimated and real energy consumption in buildings This mismatch has been at least partly ascribed to inaccurate or oversimplified representations of occupant behaviour in the simulation tools [3].
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