Space Layout in Occupant Behavior Simulation

International Conference of the International Building Performance Simulation Association
2011

Abstract

Occupant behavior is widely regarded as one of the most significant sources of uncertainty in the prediction of building energy use. Preexisting simulation methods address this issue by automatically reproducing patterns of behavior found in historical occupant schedules. We extend these methods to incorporate spatial information. In our work, space layout influences the selection of individuals who participate in an activity, and the location where the activity occurs. Participants and locations are randomly selected based on probabilities derived from cost functions. One of these cost functions encourages participation between occupants of nearby workstations. Another discourages overcrowding. We apply the method to an existing office building to study how effectively an occupant model can be customized, and how accurately it can predict space utilization.

Related Publications

Loading...

Related Projects

  • Building Simulation

    Buildings are the largest consumers of energy responsible for 48% of all Green House Gas (GHG) emissions. Due to the complexity and multidisciplinary aspects of architectural design, construction, urban design, and building occupant behavior, simulation has gained attention as a means of addressing this enormous challenge. The idea is to model a building’s many interacting subsystems, including its occupants, electrical equipment, and indoor and outdoor climate. With simulation results in hand, an architect is better able to predict the energy demand associated with various designs, and choose from among the more sustainable options.

Welcome ${RESELLERNAME} Customers

Please opt-in to receive reseller support

I agree that Autodesk may share my name and email address with ${RESELLERNAME} so that ${RESELLERNAME} may provide installation support and send me marketing communications.  I understand that the Reseller will be the party responsible for how this data will be used and managed.

Email is required Entered email is invalid.

${RESELLERNAME}