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T2: How adding intelligence can dramatically reduce energy consumption - cheaply


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

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T2: How adding intelligence can dramatically reduce energy consumption - cheaply

  1. 1. T2: How adding intelligence can dramatically reduce energy consumption – cheaply Pilgrim Beart
  2. 2. Today <ul><li>The size of the energy gap </li></ul><ul><li>Online Home Platforms </li></ul><ul><li>How can they help? </li></ul><ul><li>From Data into Information </li></ul>
  3. 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
  4. 4. About <ul><li>AlertMe: </li></ul><ul><li>32 people in Cambridge </li></ul><ul><ul><li>Mainly CU grads, mainly technical </li></ul></ul><ul><li>Backed by world’s largest cleantech VC’s </li></ul><ul><li>Online platform for home energy management </li></ul><ul><li>Pilgrim: </li></ul><ul><li>Computer Engineer by vocation </li></ul><ul><li>Entrepreneur </li></ul><ul><li>Board-level, chip-level, software, RF … now energy </li></ul><ul><li>“ Engineering is the solution!”… now what’s the problem? </li></ul>
  5. 5. Government push Consumer pull …Utilities stuck in the middle
  6. 6. Government Push <ul><li>Energy Security </li></ul><ul><li>Climate Change </li></ul>EDF Fossil+ Nuclear Renewables Transport Other Supply Demand Gap Home 4.6% in 2008 15% in 2015 29% BERR 2008 SEWTHA
  7. 7. Consumer Pull <ul><li>Average UK household: </li></ul><ul><ul><li>Disposable income £14,520 U-switch press releases, 6 June 2008 </li></ul></ul><ul><ul><li>Domestic energy bill £1,213 (8.3%) U-switch press release 26 Aug 2008) </li></ul></ul><ul><li>90% of consumers concerned about energy bills OnePoll Survey of 1000 broadband users, Sep 2008 </li></ul>
  8. 8. Utilities stuck in the middle <ul><li>£1bn/year towards energy efficiency </li></ul><ul><ul><li>Otherwise windfall tax, or lose license </li></ul></ul><ul><li>Energy-saving: saturated? </li></ul><ul><li>Energy is a commodity </li></ul><ul><ul><li>Centrica pays 75% tax on supply </li></ul></ul><ul><ul><li><50% of 2008 revenue was from supply </li></ul></ul>95% 74% Hot water tank insulation 84% 10% Double glazing 95% 51% Loft insulation 2005 1976   Households with this measure Insulation measure
  9. 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. 10. California 49 therms/household/month =588 per year = 17,000 kWh Electricity Natural Gas 5914 kWh 17000 kWh
  11. 11. Abatement cost Government White Paper on Nuclear Power, Jan 2008
  12. 12. Online Home Platforms And their potential to save energy
  13. 13. AlertMe you are online… mobile phone penetration : 116% … your home is online homes with broadband : 200m+
  14. 14. AlertMe connects you … … to your home
  15. 15. Coordinating the Smart Home
  16. 16. Online Home Platform
  17. 17. Engaging with the consumer <ul><li>Inform and control the home </li></ul><ul><li>from anywhere in the world: </li></ul><ul><li>Web </li></ul><ul><li>SMS text messages </li></ul><ul><li>Phone calls </li></ul><ul><li>Email </li></ul><ul><li>Palmtops (e.g. iPhone) </li></ul><ul><li>IPTV integration (channel or overlay) </li></ul><ul><li>Billing integration APIs </li></ul><ul><li>At-a-glance in-home information </li></ul><ul><li>Real-time and historical information </li></ul>
  18. 18. Relevant Functionality <ul><li>Devices accurately measure temperature </li></ul><ul><li>Report back minute-by-minute </li></ul><ul><ul><li>Build-up temperature profile of whole house </li></ul></ul><ul><li>Keyfobs detect occupancy </li></ul><ul><ul><li>Immediately react </li></ul></ul><ul><li>Door/window sensors suspend HVAC </li></ul><ul><ul><li>Particularly relevant to social housing </li></ul></ul><ul><li>Sensing room occupancy </li></ul>
  19. 19. How might online home platforms help?
  20. 20. 3 examples <ul><li>Heating control – address the elephant! </li></ul><ul><ul><li>60-80% of total household consumption </li></ul></ul><ul><li>Whole-house metering </li></ul><ul><ul><li>Second-by-second </li></ul></ul><ul><ul><li>Therefore Disaggregation (itemised energy) </li></ul></ul><ul><ul><li>Google Powermeter </li></ul></ul><ul><li>Per-appliance - control and monitoring </li></ul><ul><ul><li>Smart Plug </li></ul></ul><ul><ul><li>Automatically reduce standby consumption (night/away) </li></ul></ul><ul><ul><li>Run during off-peak </li></ul></ul><ul><ul><li>Better control of consumption </li></ul></ul>
  21. 21. Benefits <ul><li>Government </li></ul><ul><ul><li>Fastest, cheapest way to reduce carbon </li></ul></ul><ul><li>Utilities </li></ul><ul><ul><li>Provable “negawatts” </li></ul></ul><ul><ul><li>Layered services for replacement revenue </li></ul></ul><ul><li>Consumers </li></ul><ul><ul><li>Save money, more comfort </li></ul></ul>
  22. 22. From data into information (Temperature and Occupancy)
  23. 23. vs. Time Time of Month Time of Day Presence Temperature At home: Away: Night: (data dithered to show density) Dataset 1011
  24. 24. Temperature vs. Presence Temperature At Home Away Night
  25. 25. Averages, or everything <ul><li>Previous slides plotted only the average of all indoor temperatures </li></ul><ul><li>But we can also plot: </li></ul>Min/Av/Max indoor data All data
  26. 26. Information we can deduce from this data
  27. 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. 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. 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. 30. Seasonal effects (from an earlier dataset)
  31. 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. 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. 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. 34. Over/under-heated rooms Nan’s lounge is on average under-heated Dining Room is on average over-heated
  35. 35. Example Messaging <ul><li>Behavioural advice </li></ul><ul><ul><li>“ Dining room is on average 2 degrees above a comfortable temperature. Suggest turning down radiator to save ~£23/year. </li></ul></ul><ul><ul><li>“ Rooms typically heated to 19C. This is 1 degree lower than average for your area – congratulations on being an energy leader! </li></ul></ul><ul><ul><li>“ Your house loses a lot of heat at night, particularly in your hallway. Click here for advice. </li></ul></ul><ul><li>Automatic improvements </li></ul><ul><ul><li>“ Your heating could turn on 25 minutes later each morning and still keep your house comfortable. Estimated annual savings £37. </li></ul></ul><ul><ul><li>“ Allowing the temperature to drop to 15C when you’re out could save you £103/year. Click here to do this. </li></ul></ul><ul><ul><li>“ Click here to turn your heating down when you’re away – this year you would have saved an estimated £75 so far by doing this. </li></ul></ul><ul><ul><li>“ You’ve been away for 2 days but your heating is still on. Reply with “off”? </li></ul></ul>
  36. 36. Achievable CO 2 reduction <ul><li>Behavioural </li></ul><ul><ul><li>Hard to prove </li></ul></ul><ul><ul><li>Academic studies show 5-15%, even with primitive display </li></ul></ul><ul><ul><li>Assume 5% </li></ul></ul><ul><li>Automatic </li></ul><ul><ul><li>Heating 10% (17.5% of heating’s 60%) </li></ul></ul><ul><ul><li>Standby 1.4% (10% of electricity’s 20%) </li></ul></ul><ul><ul><li>Utilities can prove total negawatts </li></ul></ul><ul><li>If the 180m broadband users in Europe+USA used AlertMe, savings = 250 million tons of CO 2 /year </li></ul><ul><li>Cost per MW = £368k </li></ul><ul><ul><li>vs. £2.6m for offshore wind </li></ul></ul><ul><ul><li>vs. $3m for nuclear </li></ul></ul>ECI, Oxford
  37. 37. So what’s “T2”? TED Talks Ray Anderson “The business logic of sustainability” 1
  38. 38. So what’s “T2”? TED Talks Ray Anderson “The business logic of sustainability” 2
  39. 39. References <ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> / </li></ul>Pilgrim Beart
  40. 40. That’s all folks… <ul><li>Thanks for listening </li></ul><ul><ul><li>What can I do for you? </li></ul></ul><ul><ul><ul><li>Free kit to study home energy or behaviour? </li></ul></ul></ul><ul><ul><ul><li>Summer jobs? </li></ul></ul></ul><ul><ul><ul><li>Full-time jobs? </li></ul></ul></ul><ul><ul><li>What can you do for me? </li></ul></ul><ul><ul><ul><li>Algorithms, ideas, technology, thinking, PR, …. </li></ul></ul></ul>Pilgrim Beart