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Milen Oslo, 23/11/2012 Greg Wallenborn Centre for Studies on - - PowerPoint PPT Presentation

Milen Oslo, 23/11/2012 Greg Wallenborn Centre for Studies on Sustainable Development Universit Libre de Bruxelles What are the SM purposes? Consumers: active or passive? Methodology and results of 6 large European studies on


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Milen Oslo, 23/11/2012 Greg Wallenborn Centre for Studies on Sustainable Development Université Libre de Bruxelles

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  • What are the SM purposes?
  • Consumers: active or passive?
  • Methodology and results of 6 large European

studies on feedback

  • Lessons from a small experiment framed in

the ABC grammar

  • Interpretations and reframing the issue
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SLIDE 3

Smart Meter

Energy Savings Electricity market Smart Grid

Monthly invoicing New payment methods (tariffs, prepayment) Local consumption feedback and advice Remote consumption feedback & advice (ESCo) Network administration (power limitation or not) Network management (accurate data) Demand response (technical) Demand response (economic) Home automation

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  • Privacy
  • Security
  • Electrosmog
  • Who pays the meter? Who owns it?

Less present:

  • Necessity to install a SM in every household.
  • Which data are transferred? With which

format? Which frequency?

  • Danger of making pay the ‘real cost of the

electricity’

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  • Consumers want to know more about their bills and the energy

prices.

  • Feedback is a necessary element to control energy use more

effectively: information provided by feedback is clear and self- explanatory.

  • People react to external stimuli in predictable ways.
  • The transaction costs of getting the right information are low, and

cognitive saturation happens rarely.

  • When fully informed a consumer makes the best choice.
  • Households can control (or manage) their energy consumption

through different simple strategies.

  • Habits can be changed through awareness rising.
  • Once settled, these habits will last.
  • Among the overwhelming quantity of products, energy is an issue

for households.

  • Users are interested by increasingly sophisticated devices.
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  • Electricity consumption feedback =

10%, 15%, or even 40% of reduction. But:

  • Who participates?
  • Possible for everybody?
  • How is an IHD appropriated?
  • What do people learn with an IHD?
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Recruitment Total # # with SM Reduction EDF (EDRP)

  • Phone. Opt-in

1979 1879 2.3% - 4% E.ON (EDRP) Letter (& phone). Opt-in 28450 8055 1.7% - 3.9% Scottish Power (EDRP) Visit. Uninformed 3028 1330 No effect SSE (EDRP) Different methodologies 27887 7106 2.5% - 3.6% CER (Ireland)

  • Letter. Opt-in

5028 3858 2.5% Intelliekon (Germany) Letter &

  • phone. Opt-in

2091 1114 3.7% Comments:

  • Reduction for the most efficient combination: SM + accurate billing + advices

(+ monitor or additional bill data)

  • Reduction for the 1st year (drawback effect)
  • Importance of opt-in: does not depend on socio-demo variables or location
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  • Qualitative
  • Sept. 2009 – May 2010
  • Recruitment:

– 10 through direct mailing – 10 through newsletters – 1 through a Public Welfare Centre

  • Steps:

– Questionnaire about appliances and uses – Electricity Monitor: 4 to 8 weeks – Data explained – In-depth interview

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Hourly electrical consumption profile (kWh)

0,5 1 1,5 2 2,5 3 3,5 4 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 31/08/2009 1/09/2009 2/09/2009 3/09/2009 4/09/2009 5/09/2009 6/09/2009 Monday Tuesday Wednesday Thursday Friday Saturday Sunday 0,5 1 1,5 2 2,5 3 3,5 4 4,5 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 00:00 '01:00 '02:00 '03:00 '04:00 '05:00 '06:00 '07:00 '08:00 '09:00 '10:00 '11:00 '12:00 '13:00 '14:00 '15:00 '16:00 '17:00 '18:00 '19:00 '20:00 '21:00 '22:00 '23:00 22/03/2010 23/03/2010 24/03/2010 25/03/2010 26/03/2010 27/03/2010 28/03/2010 Monday Tuesday Wednesday Thursday Friday Saturday Sunday

1 2 3 4 5 6 7 8 9 10 11

1 A+ 2 ? 3 A 4 A 5 A 6 A 7 A+ 8 B 9 A+ 10 A 11 N/A 12 A 13 A+ 14 A+ 15 B 16 A 17 A 18 N/A 19 A+ 20 A 21 ? 22 N/A

Household n° and washing machine energy level Number of washing by week 90°C 60°C 40°C 30°C

5 10 15 20 25 30 35 40 45 50 55 60 27 25 40 14 20 45 33 36 22 15 35 30 52 59 58 6 47 13 30 38 57 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Household n° and total number of lamps Number of lamps Incandescent Economic Neon Halogen Led

Aggregated electricity consumption patterns Usages Appliances

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  • Some appliances use a lot of energy (dryer, water boiler,

halogens, oven, etc.).

– “everything that heats up consumes a lot”.

  • Some appliances don’t consume much

– “I realized I can use it more”.

  • Committed people track small remaining consumption

– Zero energy game

  • Perception change:

– variations (peaks when use some appliances) – Standby (hidden consumption) – Ranking appliances

  • Intentions of buying more efficient appliances (or bulbs).
  • Longer term effects?
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  • Energy conservation interest: committed (8), aware (10),

none (3).

  • Energy consumption: low (8), average (10), high (3).
  • Change in perception of energy consumption (17).
  • Behaviour change: standby (e.g. before going to bed),

dryer, kettle.

  • Observed wasteful behaviours: heating T°, usual tips.
  • Self-declared thrift (16).
  • Use of the meter: curiosity (8), check (6), systematic

control (3), felt obliged (4).

  • Environment & future: SD is possible (14), pessimistic (5).
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Perception change Behaviour change No behaviour change No perception change 7 10 4

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Perception change Behaviour change (small) No behaviour change No perception change

6 committed, 1 aware 5 low, 2 average 17-20°C 4 conflicts 3 already informed 1 tenant 1 prefers to invest 1 happy average 3 knowledgeable 1 illiterate

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Observed wasteful behaviours (8/21):

  • No behaviour change
  • 4 self-declared thrifty
  • Energy consumption: 3 high, 4 average, 1

low

  • T° max.: 19-24°C
  • Environment and future : 4 pessimistic, 3 SD
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Observed wasteful behaviours Systematic control Felt

  • bliged

No observed wasteful behaviour Curiosity Check 3 4 1 7 6

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  • Current feedback yields small changes (non

negotiable practices, Strengers 2011).

  • Diversity of users: opt-in is determinant
  • Appropriation of the IHD is a process (Liverstone

1993, Pantzar 1997) that depends on:

– Pre-existing competences and practices – Interest (financial, environment, control, etc.)

  • ABC grammar (Shove 2010) : causal relations; a

priori variables.

  • Objects should evolve with usages.
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  • Dispersed practice ? (Schatzki 1997)

– For some households – In a narrow and normative frame

 IHD is domesticated as a check of existing practice

  • For other households: add information but

not relevant to practices. Conclusion: IHD does not create new practices Energy saving is not a practice as an entity.

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Skills Competences Procedures Materials Objects Images Meanings

Engineer’s point of view: Full automation (delegation to machines) Economist’s point of view: Inform users (make human rational)

Energy conservation is missing in smart grid visions Practice theory: Schatzki, Reckwitz, Warde, Shove, etc.

Conclusion: in search of experiments in which objects are not thought as the main vector of change but participate to the socio-material reconfiguration (Marres 2012)

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More information:

  • G. Wallenborn, M. Orsini & J. Vanhaverbeke (2011),

« Household appropriation of electricity monitors », Journal

  • f Consumer Studies, 35 (2011) 146–152.
  • F. Klopfert & G.Wallenborn, Empowering consumers through

smart metering, a report for the BEUC, the European Consumer Organisation, December 2011.

  • Gregoire.wallenborn@ulb.ac.be