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Sebastian Gölz, Dorika Fleissner, Heike Schiller, Fraunhofer ISE Konrad Götz, Georg Sunderer, ISOE

Joachim Schleich, Marian Klobasa, Marc Brunner, Fraunhofer ISI

Thematic symposium “Do households save electricity through feedback based on Smart Metering systems?

at “Sustainable Consumption 2011” Conference November 6 - 8, 2011 in Hamburg, Germany

Smart Metering in Germany and Austria – Results

of Providing Feedback Information in a Field Trial

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Major Goals of the Project Intelliekon

 What is the relevant effect of feedback on knowledge and behaviour

of households?

 What are the relevant motives to use feedback as such?

Development of feedback instruments that account for both, households’ expectations and needs.

Evaluation of feedback instruments with more than 2000 households within a yearlong field trial.

 What are the major environmental implications of a reduced residential energy consumption in terms of CO2 emissions?

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Consortium

– Four scientific Partners

– Industry Partners from 10 utilities

Financial support:

– German Federal Ministry of Education and Research under the socio-economic research funding program “From Knowledge to Action”

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Technology for

Field Trial Intelliekon

Feedback instruments

Household

Utility

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Project design

Nation-wide Impacts & CO2 savings

Befragungen Pilotgruppe

„Nullmessung“ Feedback II (Phase II)

all: continuous recording of consumption & utilization of feedback for online feedback all: continuous recording of consumption &

utilization of feedback for online feedback

Analysis of Con-sumption Inter-pretation Evaluation 10/08 - 03/09 04/09 05/10 11/10 2011 10/08 - 03/09 04/09 05/10 11/10 2011 Pre-Phase Qualitative Survey Software Definition of Interfaces Web portal Communication with customers Phone numbers Incentives Privacy policy Questionnaire Feedback I (Phase I) Online feedback or written feedback on energy consumption pilot group Survey BP2 BP1 BP3

Survey of control group

Survey of control group BK2

BK1

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Feedback Instrument – Monthly Mail

Monthly mail (2 pages) including  Daily consumption  Weekly consumption  Monthly consumption

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Intelliekon Sample

Control group 977

Pilot group web 533

Pilot group mail 581

Pilot group 1114

Overall

 

sample

 

size:

2091

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Evaluation of Feedback Instruments

At the beginning of the field trial

Web Post Web Post Web Post Web Post Web Post 31 35 28 27 23 40 34 31 42 35 50 39 46 37 49 42 47 46 42 38 15 20 18 20 22 14 14 15 13 16 4 6 8 15 6 4 5 8 3 11

mark 1 mark 2 mark 3 mark 4 to 6

Information content Usefulness Design Ease of use Comprehensibility / 9 1,9 2,0 2,1 2,3 2,1 1,9 1,9 2,0 1,8 2,1 mean values in percent

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Comparison of Time: Evaluation of Feedback Instruments

at the beginning and after 6 months

 Both feedback instruments are still evaluated very positively after 6 months

 Evaluations of information content, design, ease of use,

comprehensibility, pressure and concerns about data security remain almost equal

 Usefulness is evaluated slightly better after 6 months

 Learning effect due to use of feedback instrument

 The aspects „awakes interest“ and „fun“ are evaluated somewhat worse after 6 months

 appeal of novelty decreases over the months

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Savings through Consumption Feedback

Savings of 3,7 %

Comparison between pilot and control group

For time from trial start (from 1.5.2009) until 31.10.2010,

duration for each utility partner between 11 and 18 months

Longitudinal Analysis of saving effects shows that

effect exists also after several months after trial start.

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Saved CO

2

Emissions

Saved electricity if extrapolated to all German households:

– Savings of 3,7 % in households relate to app. 5,2 TWh electricity demand

– 5,2 TWh relate app. 1,1 % of total German electricity demand 

Decreased electricity demand reduces generation from

following power stations:

– Coal: – 2,7 TWh

– Gas: – 2,4 TWh

– Brown coal: – 0,1 TWh

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Tariff Trial

 Tariff from May 2010 at three utility partners

 Analysis of saving effects from comparison between pilot and control group

 Additional considering of 3 months before tariff trial start

 Sample size app. 90 households

Source: Implemented Tariff scheme

15,5 ct/kWh

27,4 ct/kWh

15,5 ct/kWh Monday to Sunday (incl. holidays)

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Saving Effects through Time of Use Tariff

Savings of 9,8 %

– In comparison to control group (Combined effect of feedback and tariff)

– 6,1% in comparison to pilot group (Effect of tariff only)

– Time of May until end of July 2010: three months

Technical restrictions permitted the consumption analysis

of

only 53 households

Achieved load shifting range between 1 -2 % of total

consumption

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Feedback Use

Multidimensional behaviour – Content preference – Frequency – Intensity – Repetition

User Cluster from Intelliekon

/ 15 "Actives" 12% "Minimal user" 36% „Interested in Energy(saving)" 9%

„Searchers for concrete hints"

24%

"Load profile analysts"

14%

"Engaged user"

5%

Clicking all content data for several months

One Log In clicking all content Clicking mainly consumption data

for 2 months Clicking consumption data

for all months and often

Clicking mainly energy saving hints

in first months Clicking mainly hourly

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Feedback Use and Saving Effects

 Comparison of user cluster in electricity consumption: – The “Minimal user” saved in average 9,5%

– The “Load profile analysts” saved in average 9,7%

– For all remaining clusters no reliable results could have been obtained

 Influence of usage duration over months on electricity consumption: – No significant saving effect

 Influence of use of energy saving hints on electricity consumption: – Those households which clicked at least once to energy saving hints

saved in average 10 kWh (at 125 kWh as total effect)

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Assumption for Feedback and Tariff

 Monthly letter from „trustful“ utility leads to a regular engagement with consumption – which can not be achieved with a web portal

 The effect of the web portal defolds quickly – a longterm provision will not increase additionally the savings

 Tariff participants saved because differentiate prices activate them – involvement leads to behavioural changes

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Conclusion and Recommendations

 Strategy for target groups: Variable technical and non-technical offers and behaviours

– Non-technical: options for efficient behaviour, goal setting

– Technical: Internet, Apps, Smart-Home products, Service: Financing through savings (Contracting)

 Practical implementation of different options should be accompanied by suitable frame conditions, i.e. incentives ( result tariff)

 Recommended: Electricity consumption information „for all“  In parallel target group oriented

– User have different needs, wishes and motiviation – therefore choice of different options

– If no choice takes place: Monthly printed electricity consumption information with conventional mail

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Thank you for your Attention

 Further papers under www.intelliekon.de

 German and English brochure with all results and conclusion available

References

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