Just In Time Carbon Footprint

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Just In TimeCarbon Footprint

• Manu Gupta, Stephen Intille and Kent Larson
• MIT Media Lab, House_n

manug_at_mit.edu intille_at_mit.edu kll_at_mit.edu
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Carbon Footprint

• Measurement calculation of CO2 emitted as part
  of daily life activities
• Why measure
• Conserve energy
• Allow people to be aware of their emission
• Help people change usage patterns
• Its our responsibility

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Our Focus

• Behavior change
• Measuring and motivating energy conservation
  behavior at the personal level

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PlaceLab- A Live-In Laboratory

• Data Collection
• Only electric current information
• 37 different electrical circuits fitted with
  current sensors
• Circuits are divided into residential spaces and
  residential appliances

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PlaceLab- A Live-In Laboratory

• Data Analysis
• A Couple lived in the PlaceLab for 10 weeks
• One day analysis
• Annotation
• Video analysis of usage, movement and behavior
  patterns
• Current analysis
• Of each individual appliance/devices energy
  consumption

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Analysis Tool

• Handlense sensor visualization tool
• Developed at House_n

Vampire power sources
Unused lights Devices
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Projected Usage
Space in use
Devices in use
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Results

• Total electricity consumed in 1 day 13.45 KWh
• With an optimal change in behavior (but
  without impacting quality of life)
• They would have saved 38 (5KWh) of the total
  
• electricity consumed

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Behavior Change Strategies

• To motivate energy conservation behavior two
  strategies can be used
• Responsive Automation
• Just in Time Intervention
• Current research is on designing these
  strategies and testing how
• much energy can be saved using them.

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Behavioral Change Interfaces
Exploring the use of phones for just-in-time
positive reinforcement. Key idea positive
reinforcement tied to small behavior changes
(Detected by sensing) May lead to gradual
behavior change.
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System Components

• Sensor Network
• Control and Actuation system
• Mobile Devices
• Intervention strategies

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System Characteristics

• Low power
• Wireless
• Affordable
• Real Time interaction with mobile devices
• Non intrusive
• Right mix of automation and intervention

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• Thanks