The self-programming thermostat: optimizing setback schedules based on home occupancy patterns

  • Authors:
  • Ge Gao;Kamin Whitehouse

  • Affiliations:
  • University of Virginia;University of Virginia

  • Venue:
  • Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
  • Year:
  • 2009

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Abstract

Programmable thermostats offer large potential energy savings without sacrificing comfort, but only if setback schedules are defined correctly. We present the concept of a self-programming thermostat that automatically creates an optimal setback schedule by sensing the occupancy statistics of a home. The system monitors occupancy using simple sensors in the home, similar to those already used in typical security systems, and the user defines the desired balance between energy and comfort using a single, intuitive knob. Our preliminary results show that this approach can reduce heating and cooling demand by up to 15% over the default setback schedule recommended by EnergyStar.