1. 2010-09-13 Workshop WeShare 2012 Gunnar Mathiason
Envolve
Information Fusion for Energy Efficiency “AWARE - Situation awareness for societal functions”
Workshop WeShare 2012
Gunnar Mathiason

2. Envolve Energy preservation Information Fusion for energy efficiency
A strategic problem for society
EU climate goal
Information Fusion for energy efficiency
IF can create new understanding
Situation awareness, Anomalies, Uncertainties
Usage of information from many sources
High volumes of automatic meter readings
EU climate goal: by 2020
A reduction of at least 20% in greenhouse gases (GHG) by 2020
A 20% share of renewable energies in EU energy consumption by 2020
Original text: until 2020
* Reduce CO2 emissions by at least 20 % compared to 1990
* Reduce energy usage by 20 % (savings, more efficient use)
* Increase the share of renewable energy to 20 % of all energy consumption
* Increase the share of biofuels for transports by 10 %
Infofusion, DRTS, SAIL, InGaMeLab, IS 2

3. Data Information  Understanding
Information For What?
Better usage of resources:
Energy sources: Fossile, water, wind, solar, ..
Production facilities
Transmission, Distribution
Understand the resource needs. Can act smarter with the resources
Value: Temperature, Functions, Comfort, Life
Data Information  Understanding

4. Envolve Energy involvement and engagement
Project Themes
Envolve Energy involvement and engagement
Enlight End user awareness of own energy efficiency
Engage Involve next generation energy users
AMMend Awareness of the status of the electricity grid
Aware Situation awareness for societal functions
Enlight – Allows energy customers to be aware of their energy usage and energy profile (environment profile).
Offers the means and opportunity to actively influence the individual situation.
Visualization and interaction is central.
Real data in the loop.
Assumes automatic analysis, with behavior models and –profiles.
Aggregation of customer data for energy customers and demonstrators.
ENGAGE – Edutainment / serious games / ...
To engage, challenge, and activate the attitudes of youth to energy usage.
AMMend – Diagnostics and follow-up of the behavior of the energy network and its capacity to meet demands.
Influenced by Enlight.
Aware – Support for societal protection against civil contingencies
Uses the aggregated behavior of energy usage.
Individual alarms.
Anomy detection based on information from Enlight (and AMMend). 4

5. Automatic Meter Readings
Required set-up
1/month
1/month
Monthly meter readings 
Correct invoicing
Monthly Invoice,
distri- bution
1/month
Monthly Invoice,
energy usage

6. Measurement handling system
Automatic Meter Readings
Some implementations
Power network operation and management
1/hour
occasionally
Measurement handling system
1/month
Monthly meter readings 
Correct invoicing
1/month
Web
Monthly Invoice,
energy usage
Web

7. Automatic Meter Readings
The future need
”On-line”
”On-demand”
Measurement server
Applications
Applications:
Power network operations
Invoicing, distribution / energy - Third party services -..

8. Applications Alarms and anomalies [New utility services?]
”Heat pump failure”
”Windows forgot open”
Household group anomalies [New service?]
Burglar crime wave?
Changed weather conditions?
Fusion!
Multiple households, multiple data sources

9. Models and anomalies Model from current knowledge
Static or dynamic model
Evaluate real-time data against model
Find anomalies  react
Model
Actions’
Sensors
Rules
Actions’’

10. Health Care Applications
Group model
Epidemic
Individual
Illness
Additional sensors adds detail
Scale at fridge, Bathroom PIR/light, Fire detector, ..
Level of intrusiveness?

11. Privacy Well-defined level of detail required
Selected sensors/indicators
Also for combinations of sensors
Agreed level of detail. Patient, Relatives, ..
Need of detail for specific service
Usefulness
Useful applications bring acceptance

12. Challenges Who owns the data and the knowledge?
A society/common infrastructure issue?
Who can sell the data and the knowledge?
How can aggregated knowledge stay private?
Alternatives to data coming from Utilities?
It is useful? Is there a need?
For who? Patient? Health care budget?
Will quality of health care really improve?