1. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie The Power of Energy Conservation: Achieving Efficiency by Understanding Behaviours Dr. Antonio Ruzzelli CLARITY: Centre for Sensor Web Technologies, University College Dublin

2. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie Karbon Footprinting Project UCD OPEN DAY Overall Aim Develop IT systems for small to medium scale carbon footprinting reduction. Generate energy consumption awareness by presenting meaningful data to consumers Providing waste management profiles of individuals in home and office environment Deploy the system in about 20 homes around Dublin and get feedback from home owners

3. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY Limits on Existing Systems Home users hardly know how to: Make sense out of the data How to properly interpret an energy graph What actions to take to reduce the consumption Information is not personalised to individual homes and user needs Energy consumption information is in an abstract form that is hardly understandable by home owners

4. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY CLARITY Energy Landscape

5. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY Home Deployment

6. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY Appliances Activity Recognition Traditional approach Retrofit the whole building with intelligent sockets Our approach Use a single energy monitor connected to the main fuse box

7. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY Appliance Signature Specifics REAR builds Unique Appliance Signatures consisting of 1.Real Power P 2.Power Factor Pf 3.RMS current Irms 4.RMS voltage Vrms 5.Peak current Ip 6.Peak voltage Vp

8. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY Laboratory Testing A system to recognize electrical activity in real-time Testing the efficiency of a machine learning technique Display of neural network data : Fridge Microwave Kettle Heater Real activity : Laboratory appliance activity (‘1’ On, ‘0’ Off) Output of neural net : Direct output of neural network in response to the test file. Filter: Application of a filter to normalize data. >87% accuracy

9. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY Why are we doing this? 3 Potential stakeholders: -Consumer  Empower home owners with consumption patterns to save money -Energy provider  inform and incentivize known peak consumption/load balancing feedback - Provide a rich set of data that can inform other applications such as at-home healthcare and ambient-assisted living

10. UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE Ruzzelli@ucd.ie UCD OPEN DAY questions Thank you