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

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

Today
The size of the energy gap
Online Home Platforms
How can they help?
From Data into Information

“ 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

About
AlertMe:
32 people in Cambridge
Mainly CU grads, mainly technical
Backed by world’s largest cleantech VC’s
Online platform for home energy management
Pilgrim:
Computer Engineer by vocation
Entrepreneur
Board-level, chip-level, software, RF … now energy
“ Engineering is the solution!”… now what’s the problem?

Government push Consumer pull …Utilities stuck in the middle

Government Push
Energy Security
Climate Change
EDF Fossil+ Nuclear Renewables Transport Other Supply Demand Gap Home 4.6% in 2008 15% in 2015 29% BERR 2008 SEWTHA

Consumer Pull
Average UK household:
Disposable income £14,520 U-switch press releases, 6 June 2008
Domestic energy bill £1,213 (8.3%) U-switch press release 26 Aug 2008)
90% of consumers concerned about energy bills OnePoll Survey of 1000 broadband users, Sep 2008

Utilities stuck in the middle
£1bn/year towards energy efficiency
Otherwise windfall tax, or lose license
Energy-saving: saturated?
Energy is a commodity
Centrica pays 75% tax on supply
<50% of 2008 revenue was from supply
95% 74% Hot water tank insulation 84% 10% Double glazing 95% 51% Loft insulation 2005 1976 Households with this measure Insulation measure

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

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

Abatement cost Government White Paper on Nuclear Power, Jan 2008

Online Home Platforms And their potential to save energy

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

AlertMe connects you … … to your home

Coordinating the Smart Home

Online Home Platform

Engaging with the consumer
Inform and control the home
from anywhere in the world:
Web
SMS text messages
Phone calls
Email
Palmtops (e.g. iPhone)
IPTV integration (channel or overlay)
Billing integration APIs
At-a-glance in-home information
Real-time and historical information

Relevant Functionality
Devices accurately measure temperature
Report back minute-by-minute
Build-up temperature profile of whole house
Keyfobs detect occupancy
Immediately react
Door/window sensors suspend HVAC
Particularly relevant to social housing
Sensing room occupancy

How might online home platforms help?

3 examples
Heating control – address the elephant!
60-80% of total household consumption
Whole-house metering
Second-by-second
Therefore Disaggregation (itemised energy)
Google Powermeter
Per-appliance - control and monitoring
Smart Plug
Automatically reduce standby consumption (night/away)
Run during off-peak
Better control of consumption

Benefits
Government
Fastest, cheapest way to reduce carbon
Utilities
Provable “negawatts”
Layered services for replacement revenue
Consumers
Save money, more comfort

From data into information (Temperature and Occupancy)

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

Temperature vs. Presence Temperature At Home Away Night

Averages, or everything
Previous slides plotted only the average of all indoor temperatures
But we can also plot:
Min/Av/Max indoor data All data

Information we can deduce from this data

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

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

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

Seasonal effects (from an earlier dataset)

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

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”

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

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

Example Messaging
Behavioural advice
“ Dining room is on average 2 degrees above a comfortable temperature. Suggest turning down radiator to save ~£23/year.
“ Rooms typically heated to 19C. This is 1 degree lower than average for your area – congratulations on being an energy leader!
“ Your house loses a lot of heat at night, particularly in your hallway. Click here for advice.
Automatic improvements
“ Your heating could turn on 25 minutes later each morning and still keep your house comfortable. Estimated annual savings £37.
“ Allowing the temperature to drop to 15C when you’re out could save you £103/year. Click here to do this.
“ 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.
“ You’ve been away for 2 days but your heating is still on. Reply with “off”?

Achievable CO 2 reduction
Behavioural
Hard to prove
Academic studies show 5-15%, even with primitive display
Assume 5%
Automatic
Heating 10% (17.5% of heating’s 60%)
Standby 1.4% (10% of electricity’s 20%)
Utilities can prove total negawatts
If the 180m broadband users in Europe+USA used AlertMe, savings = 250 million tons of CO 2 /year
Cost per MW = £368k
vs. £2.6m for offshore wind
vs. $3m for nuclear
ECI, Oxford

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

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

References
www.alertme.com
www.californiaenergyefficiency.com/docs/EEStrategicPlan.pdf
www.pge.com/about/environment/calculator/assumptions.shtml
www.eci.ox.ac.uk/research/energy/electric-metering.php
lightbucket.wordpress.com/2008/04/12/step-one-home-insulation/
www.greenandsave.com/master_roi_table.html
www.ted.com/talks/lang/eng/ray_anderson_on_the_business_logic_of_sustainability.html
www.withouthotair.com /
Pilgrim Beart

That’s all folks…
Thanks for listening
What can I do for you?
Free kit to study home energy or behaviour?
Summer jobs?
Full-time jobs?
What can you do for me?
Algorithms, ideas, technology, thinking, PR, ….
Pilgrim Beart

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

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