Worldwide Sites

You have been detected as being from . Where applicable, you can see country-specific product information, offers, and pricing.

Change country/language X

Keyboard ALT + g to toggle grid overlay

Simulating the Sensing of Building Occupancy

Simon Breslav, Rhys Goldstein, Ben Doherty, Dan Rumery, Azam Khan

Symposium on Simulation for Architecture and Urban Design
2013

Abstract

Accurate building occupancy information can be beneficial in minimizing energy use by improving the intelligence of a Building Automation System (BAS) and helping designers predict the effect of different design options on occupant behavior. However, current occupancy measurements are quite inaccurate due to limitations in sensing technology and the resulting discrepancies between sensor data and what actually happens. In this paper we explore the use of simulation to model occupant behavior in combination with motion sensors to be able to study the relationship between known and measured occupant behavior. An extensible occupancy model, influenced by computational cognitive science and implemented using established modeling conventions is presented along with a simple experiment comparing the effects of different sensor density levels.

Related Publications

Related Projects

Systems Design & Simulation

While traditional programming practices have produced a wide range of relatively independent simulation methods, predictive models of extremely complex natural and artificial systems will require a more scalable, more collaborative approach to modeling. This project strives for software that will help researchers develop, debug, document, share, and integrate simulation code.

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.

Heading

Descriptive text. Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt magna aliqua in reprehenderit.