Higher priced energy Cost problems: • Inefficient use of resources; • ‘Local’ overload; Infrastructure problems: 4 UK Housing Energy Fact File Graph 7a: HES average 24-hour electricity use profile for owner-occupied homes, England 2010-11 Gas consumption The amount of gas consumed in the UK varies dramatically between households. The top 10% of households consume at least four times as much gas as the bottom 10%.60 Modelling to predict households’ energy consumption – based on the property, household income and tenure – has so far been able to explain less than 40% of this variation. Gas use varies enormously from household to household, and the variation has more to do with behaviour than how dwellings are built. 0 100 200 300 400 500 600 700 800 00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 Heating Water heating Electric showers Washing/drying Cooking Lighting Cold appliances ICT Audiovisual Other Unknown Watts Filling the trough Peak load
Reduction •Shifting it somewhere else in time (or space and time) Demand Response 5 What makes up peak demand? What might be reduced? Who might respond? And what are the local network consequences?
trials § We reviewed over 30 major (published) studies How does the literature stack up? 8 “a representative random sample of households with random allocation to control and intervention groups of sufficient size to robustly detect the effect observed was achieved only by the Irish Smart Meter trial.” @tom_rushby
households with random allocation to control and intervention groups of sufficient size to robustly detect the effect observed was achieved only by the Irish Smart Meter trial.” @tom_rushby Not a lot. Well, OK we do know a few things but they are mostly neither statistically robust nor generalisable
Hints: Higginson, Sarah, Murray Thomson, and Tracy Bhamra. 2013. ‘“For the Times They Are a-Changin”: The Impact of Shifting Energy-Use Practices in Time and Space’. Local Environment, June, 1–19. doi:10.1080/13549839.2013.802459. § Which kinds of people ‘flex’ – Hints: Nicholls, Larissa, and Yolande Strengers. 2015. ‘Peak Demand and the “family peak” period in Australia: Understanding Practice (in) Flexibility in Households with Children’. Energy Research & Social Science 9: 116–24. § What ‘normal’ people do? 10 https://upload.wikimedia.org/wikipedia/commons/f/fa/La undry_room_%28tv%C3%A4ttstuga%29.JPG
Data informed engagement Other trials suggest reductions of around 6% 2. Data informed engagement + price signals Other trials suggest reductions of around 6- 7% 3. LED lighting trials Lighting is responsible for 19% of evening peak demand
area •Stratify census areas by deprivation quintile •Randomly select n census areas within deprivation quintiles •Randomly select 50 address per census area from PAF Select Addresses •Letter sent by research agency Contact •Field visit: research agency staff Survey & install kit 15 4,318 households 32,000 letters
Period 1 Trial Groups Survey Representative Random Sample N > 4000 Group 1: Control Group 2: (LEDs) Group 3: (Engagement) Group 4: (Engagement + £) 16 Update surveys & Time Use Diaries Update surveys & Time Use Diaries Update surveys & Time Use Diaries Random allocation