Pilgrim Beart's presentation to CUED (Cambridge University Engineering Department) 14 Oct 2009

1. T2: How adding intelligence can dramatically reduce energy consumption – cheaply Pilgrim Beart

3. “ You see, we should make use of the forces of nature and should obtain all our power in this way. Sunshine is a form of energy, wind and sea currents are manifestations of this energy. Do we make use of them? Oh no! We burn forests and coal, like tenants burning down our front door for heating. We live like wild settlers and not as though these resources belong to us.“ Thomas A. Edison, 1916

5. Government push Consumer pull …Utilities stuck in the middle

9. Where does UK energy go? Personal energy consumption Household energy consumption SEWTHA “ Approximately 10% of domestic electricity consumption is wasted by appliances left on standby” Programmes to reduce household energy consumption, NAO report 2 July 2008 3,300 kWh 20,500 kWh Electricity Natural Gas USWITCH JUNE 2008 Electrical things 18kWh/d Heating 40kWh/d Transport 40kWh/d

10. California 49 therms/household/month =588 per year = 17,000 kWh Electricity Natural Gas 5914 kWh 17000 kWh http://www.pge.com/about/environment/calculator/assumptions.shtml http://www.californiaenergyefficiency.com/docs/EEStrategicPlan.pdf

11. Abatement cost Government White Paper on Nuclear Power, Jan 2008

12. Online Home Platforms And their potential to save energy

13. AlertMe you are online… mobile phone penetration : 116% … your home is online homes with broadband : 200m+

14. AlertMe connects you … … to your home

15. Coordinating the Smart Home

16. Online Home Platform

19. How might online home platforms help?

22. From data into information (Temperature and Occupancy)

23. vs. Time Time of Month Time of Day Presence Temperature At home: Away: Night: (data dithered to show density) Dataset 1011

24. Temperature vs. Presence Temperature At Home Away Night

26. Information we can deduce from this data

27. Type of heating system Storage radiators heat-up slowly using economy electricity at night, then cool down slowly during the day Central-heating (gas or oil) heats-up fast when turned on

28. Times when heating system runs Boiler STARTS in the morning Boiler turning ON to regulate heat Boiler turning OFF to regulate heat Boiler STOPS in the evening Av indoor temps on 28 Nov for dataset 1005

29. Thermal mass/insulation datasets 1005 and 1003 At night, t h e temperature in the house 1005 falls about twice as quickly as the temperature in house 1003 (compare trajectories from midnight to 4am, starting at 18C). House 1005 House 1003

30. Seasonal effects (from an earlier dataset)

31. Occupants Behaviour Hour of the week Sun Sat Mon Tue Wed Thu Fri At home Away Night dataset 1008 Gets up at 6:30am on weekdays Out of house by 9am Asleep by 11pm Gets up at 9:30am on Sundays

32. Typical occupancy These occupants sleep at home. Home is often occupied during the day. This occupant often sleeps away. Home often not occupied during the day “ young family” “ free and single”

33. Is temperature well-managed? At Home Away Night At Home Away Night No. Heating running even at night or when house is empty. Temperatures high. Reasonably. Still opportunities to optimise highs & lows. Customer A Customer B

34. Over/under-heated rooms Nan’s lounge is on average under-heated Dining Room is on average over-heated

37. So what’s “T2”? TED Talks Ray Anderson “The business logic of sustainability” 1

38. So what’s “T2”? TED Talks Ray Anderson “The business logic of sustainability” 2