Strategies for Large Scale Deployment of Energy Monitoring and Sensing in the Home

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Strategies for Large Scale Deployment of Energy Monitoring and Sensing in the Home Shwetak N. Patel University of Washington http://ubicomplab.cs.washington.edu/

Sensing in the home Focus of this talk Resource monitoring Low-power wireless sensing Shwetak N. Patel - University of Washington 2

Living Laboratories Shwetak N. Patel - University of Washington 3

Non-expert deployment of energy monitoring technology Disaggregated energy use 4

Feedback Interfaces

Value for the stakeholders Conservation and actionable feedback New model for demand response Validation and verification of conservation activities No truck roll or costly rollouts No need to go into the home

coffee bean maker grinder refrigerator microwave Distributed Direct Sensing

Infrastructure Mediated Sensing Use the utility infrastructure as the sensor Ubicomp 2007, Pervasive 2008

PowerLine Event Detection Single sensor on the power line can detect the use of most electrical devices Ubicomp 2007, 2010, Pervasive 2011 10

Existing Approaches Past work has looked at the current/voltage relationship (NILM, Hart et al).

Our Approach: Your noise is my signal Instead of just current, sample the voltage at a high rate Only have to sample one location Look at electrical noise on the power lines Electronic devices produce noise

Switch Mode Power Supplies (SMPS) Small, efficient Very popular Produce continuous noise 13

For example 14

Whole-House Current Consumption Not end-user installable Requires an electrician 15

Contact-Less Whole-House Current Consumption Sensor Detects the magnetic field behind the metal Within 4% of true power Also provides additional features for classification CHI 2010 16

Detectable Events Microwave door Microwave Coffee maker Electric stove Refrigerator door Refrigerator Electric oven Electric oven door Dishwasher Garbage disposal Bathroom exhaust fan Incandescent lights via a wall switch Fluorescent lights via a wall switch Lights via a dimmer wall switch Garage door opener Dryer HVAC/Heat Pump Ceiling fan Laptop power adapter Television

Water Sensing Single-point sensor of water usage Identifies water usage activity down to a fixture level (e.g., toilet) Provides estimates of flow at each fixture hydrosense Ubicomp 2009, Pervasive 2011, PMC Journal 2011

traditional inline water meter

water tower Plumbing System hose spigot bathroom 1 incoming cold water from supply line thermal expansion tank kitchen dishwasher pressure regulator hot water heater bathroom 2 laundry

Fixture-level Event Detection 21

Gas Sensing

GasSense

New approaches for low-power sensing 24

hard to maintain

hard to maintain 26

S N U P I ensor odes tilizing owerline nfrastructure Ubicomp 2010 27

Powerline Coupling Receiver plugged into powerline Powerline acts as receiving antenna Transmitter sends data to nearest powerline 28

Traditional Over-the-Air Wireless 29

Powerline Coupling strongly dependent on frequency ISM band 27 MHz 30

Hardware Overview fully-programmable 3.8 cm wireless sensing low throughput (10kps) whole-home long battery life 65 uw TX 3.8 cm 1.4 cm 17 grams including battery 31

mw 60 SNUPI Peak Power Consumption Communication (Radio) Computation (CPU) Total Power 50 40 30 20 10 0 Existing Nodes SNUPI 32

100 mw SNUPI Peak Power Consumption Communication (Radio) Computation (CPU) Total Power 10 mw 1 mw 100 µw 10 µw Existing Nodes SNUPI 33

100 mw SNUPI Peak Power Consumption Communication (Radio) Computation (CPU) Total Power 10 mw 1 mw 100 µw 10 µw Existing Nodes SNUPI Communication/Computation Power Relationship Reversed 34

100 mw SNUPI Peak Power Consumption Communication (Radio) Computation (CPU) Total Power 10 mw 1 mw 100 µw 10 µw Existing Nodes SNUPI 2 Orders of Magnitude Reduction in Communication Power 35

100 mw SNUPI Peak Power Consumption Communication (Radio) Computation (CPU) Total Power 10 mw 1 mw 100 µw 10 µw Existing Nodes SNUPI 1 Order of Magnitude Reduction in Total Peak Power 36

Uses Long-lived sensor deployments Hard to reach areas 37

Making it Available - Scale 38

Questions? Special Thanks and Acknowledgements: Students: Jon Froehlich, Sidhant Gupta, Eric Larson, Gabe Cohn, Tim Campbell Faculty: James Fogarty, James Landay, Les Atlas, Brian Otis, Matt Reynolds Shwetak N. Patel - University of Washington 39