A novel approach for building occupancy simulation |
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Authors: | Chuang Wang Da Yan Yi Jiang |
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Affiliation: | (1) Delft Technical University the Netherlands, Delft, Netherlands |
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Abstract: | Building occupancy is an important basic factor in building energy simulation but it is hard to represent due to its temporal
and spatial stochastic nature. This paper presents a novel approach for building occupancy simulation based on the Markov
chain. In this study, occupancy is handled as the straightforward result of occupant movement processes which occur among
the spaces inside and outside a building. By using the Markov chain method to simulate this stochastic movement process, the
model can generate the location for each occupant and the zone-level occupancy for the whole building. There is no explicit
or implicit constraint to the number of occupants and the number of zones in the model while maintaining a simple and clear
set of input parameters. From the case study of an office building, it can be seen that the model can produce realistic occupancy
variations in the office building for a typical workday with key statistical properties of occupancy such as the time of morning
arrival and night departure, lunch time, periods of intermediate walking-around, etc. Due to simplicity, accuracy and unrestraint,
this model is sufficient and practical to simulate occupancy for building energy simulations and stochastic analysis of building
heating, ventilation, and air conditioning (HVAC) systems. |
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Keywords: | |
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