The Self-Programming Thermostat: using occupancy to optimize setback schedules

1. The Self-Programming Thermostat: using occupancy to optimize setback schedules Kamin Whitehouse

2. Problem Definition

3. Problem Definition

4. Problem Definition But reducing HVAC energy --> $$ Insulation, new windows, solar panels, geothermal, HVAC upgrades, etc. All require $1000’s and take many years for ROI Federal stimulus: $5 billion for weatherization of low-income homes Small % of target savings We need low-cost energy solutions

5. State of the Art Setback Schedules Widely-accepted Cost-effective But still largely untapped potential! Why?

6. State of the Art

7. State of the Art

8. Self-Programming Thermostat

9. Self-Programming Thermostat

10. Self-Programming Thermostat

11. Self-Programming Thermostat

12. Self-Programming Thermostat

13. Self-programming Thermostat

14. Self-Programming Thermostat

15. User Interface Three knobs: setpoint, setback, miss time As the user tunes the knobs, the system displays resultant schedule and energy usage Result: explicit energy/comfort trade-off controllable and predictable not smart!

16. Sensing Occupancy

17. Sensing Occupancy Say what best case means Tier 0 results da definition As we cn see here mos t.. This reall shows the power of the fats attack to in fer very detailed activities with high accy across a diverse range of homes using primitive ..Say what best case means Tier 0 results da definition As we cn see here mos t.. This reall shows the power of the fats attack to in fer very detailed activities with high accy across a diverse range of homes using primitive ..

18. Evaluation Two publicly-available data sets Kasteren Tulum (not a random sample) Both ~1 month Hand-labeled many activities We used “leave home” and “return home”

19. Evaluation

26. Summary Use sensors to identify occupancy Automatically tune setback schedules Use miss time knob to navigate Pareto set Benefits Simple interface More energy savings; same comfort More comfort, same energy savings Cheap! $50-$100 per home

27. Other Related Work Reactive Thermostats Similar to motion-sensor triggered lights Microenvironments User-controlled local conditioning Facilities management and building operators

28. Future Work More users, deployments and Energy Spoiler alert! Results still good with 44 users and 8 homes with sensors, w/ heat pump Micro-zoning control Other building types Market penetration: UI & Economics .

29. Questions?

30. Deployment Details for FATS Demonstration Eight homes deployed with wireless X10 sensors for at least 7 days with an X10 receiver to record messages Four diverse single person homes, four diverse multi-person homes Emphasis on diversity here We wil first look at the details of the real deployments we used to demonstrate the fats attack Combine first 2 points We first look at our deployment details used to demonstrate the fats attack. As u cn see, We deployed wireless x10 sensors in 8 homes for at least 7 days We used sensors on everyday objs and also ms in every room The residents were diverse ranging from male grad st to couple X10 receiver recorded evth Ground t adls were manually labeled Emphasis on diversity here We wil first look at the details of the real deployments we used to demonstrate the fats attack Combine first 2 points We first look at our deployment details used to demonstrate the fats attack. As u cn see, We deployed wireless x10 sensors in 8 homes for at least 7 days We used sensors on everyday objs and also ms in every room The residents were diverse ranging from male grad st to couple X10 receiver recorded evth Ground t adls were manually labeled