SPACE LAYOUT IN OCCUPANT BEHAVIOR SIMULATION

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.

[1]  V Vincent Tabak,et al.  User Simulation of Space Utilisation : System for Office Building Usage Simulation , 2003 .

[2]  Ian Richardson,et al.  A high-resolution domestic building occupancy model for energy demand simulations , 2008 .

[3]  Norman I. Badler,et al.  Virtual Crowds: Methods, Simulation, and Control , 2008, Virtual Crowds: Methods, Simulation, and Control.

[4]  Christoph F. Reinhart,et al.  Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .

[5]  Christoph F. Reinhart,et al.  Assessing the total energy impact of occupant behavioural response to manual and automated lighting systems , 2005 .

[6]  Rhys Goldstein,et al.  Schedule-calibrated occupant behavior simulation , 2010, SpringSim.

[7]  P Pieter-Jan Hoes,et al.  User behavior in whole building simulation , 2009 .

[8]  Jessen Page,et al.  Simulating occupant presence and behaviour in buildings , 2007 .

[9]  Francis Rubinstein,et al.  Modeling occupancy in single person offices , 2005 .

[10]  Ardeshir Mahdavi,et al.  TOWARD EMPIRICALLY-BASED MODELS OF PEOPLE ' S PRESENCE AND ACTIONS IN BUILDINGS , 2009 .

[11]  Rhys Goldstein,et al.  CUSTOMIZING THE BEHAVIOR OF INTERACTING OCCUPANTS USING PERSONAS , 2010 .

[12]  Gerhard Zimmerman.  Modeling and simulation of individual user behavior for building performance predictions , 2007, SCSC.

[13]  Tina Yu,et al.  Modeling Occupancy Behavior for Energy Efficiency and Occupants Comfort Management in Intelligent Buildings , 2010, 2010 Ninth International Conference on Machine Learning and Applications.