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Just In Time Carbon Footprint Manu Gupta, Stephen Intille and Kent Larson MIT Media Lab, House_n [email protected] [email protected] [email protected]
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Just In Time Carbon Footprint

Jan 16, 2016

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Just In Time Carbon Footprint. Manu Gupta, Stephen Intille and Kent Larson MIT Media Lab, House_n. [email protected] [email protected] [email protected]. Carbon Footprint. Measurement & calculation of CO 2 emitted as part of daily life activities Why measure Conserve energy - PowerPoint PPT Presentation
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Page 1: Just In Time Carbon Footprint

Just In TimeCarbon Footprint

Manu Gupta, Stephen Intille and Kent Larson

MIT Media Lab, House_n

[email protected]@[email protected]

Page 2: Just In Time Carbon Footprint

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/device’s energy consumption

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Analysis ToolHandlense sensor visualization tool

–Developed at House_n

Unused lights & Devices

Vampire power sources

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Projected Usage

Devices in use

Space 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