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Subtasks of Task XXIV social media and 
IEA DSM TASK 24 
Task XXIV 
Closing the Loop - 
Behaviour Change in DSM: From Theory to Practice 
Dr Sea Rotmann Operating Agent 
IEC lecture, October 10, 2014
Some special features of Task XXIV 
2 
Text 
Premise for Task XXIV What’s special about 
Task 24?
socSiuabl tmaskesd oifa T iansk T XaXsIkV 24 
@IEADSM 
@DrSeaRotmann 
IEA DSM facebook Group 
IEA DSM LinkedIn Group 
Expert platform: 
www.ieadsmtask24.ning.com 
Task 24 Wiki: 
www.ieadsmtask24wiki.info 
IEA DSM website: 
www.ieadsm.org 
Behaviour Change & Energy News 
www.youtube.com/IEADSM 
Pearltree: drsearotmann 
Instagram: drsea77 
Storify: DrSeaRotmann
Participating countries 
16 
countries 
25 Tasks 
Task 24
Our Audience 
Target Audience of Task XXIV 
1Intermediaries 
Policymakers 
Researchers 
Industry 
The Third Sector 
5 
Pics via: theinnovativeeducator.blogspot.com, dreamstime.com, agu.org, lifesupplemented.org, rassutassu.com, change.comminit.com
Our Audience 
Target Audience of Task XXIV 
understanding 
THE BEHAVIOUR 
1Intermediaries 
Policymakers 
Researchers 
Industry 
The Third Sector 
OF THE 
BEHAVIOUR 
CHANGERS 
5 
Pics via: theinnovativeeducator.blogspot.com, dreamstime.com, agu.org, lifesupplemented.org, rassutassu.com, change.comminit.com
SubtaSskusb otf aTsaksks XXIV 
5- Social Media Expert platform 
1- Helicopter 
view of models, 
frameworks, 
contexts, case 
studies and 
evaluation 
metrics 
2- 
In depth 
analysis in 
areas of 
greatest need 
(buildings, 
transport, 
SMEs, smart 
metering) 
3- 
Evaluation tool 
for 
stakeholders 
4- 
Country-specific 
recommen-dations, 
to do’s 
and not to do’s
Some special features of Task XXIV 
7 
Text 
TheP rsemtoiser fyor Toafsk T XXaIsVk 24
MSaunby thauskrds loesf Ttoa sokv eXrXcoIVme 
Towards a multiple models approach 
³$OOPRGHOVDUH 
wrong, but some of 
WKHPDUHXVHIXO´ 
George E.P. Box 
(1979)
subtask I - 
Overview of models, disciplines and 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
frameworks 
https://www.youtube.com/watch?v=DOTkdA97Woofeature=c4-overviewlist=UU_p3PlWDpLyDBh8TwUBmVHQ 
9
IntSeubrtdaisskcs iopfl Tinasakr XyX sIiVlos
IntSeubrtdaisskcs iopfl Tinasakr XyX sIiVlos
subtask I - 
Overview of definitions 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
http://www.slideshare.net/drsea/definitions-for-task-24 
11
EureSukbata!sks of Task XXIV
eneSrugbyta ssktso orfi eTsa:s kp XeXrsIVonal 
YOUTUBE: https://www.youtube.com/watch? 
v=wbe83S8FfO0list=UU_p3PlWDpLyDBh8TwUBmVHQ
5- Social Media Expert platform 
1- Helicopter 
view of models, 
frameworks, 
contexts, case 
studies and 
evaluation 
metrics 
2- 
In depth 
analysis in 
areas of 
greatest need 
(buildings, 
transport, 
SMEs, smart 
metering) 
3- 
Evaluation tool 
for 
stakeholders 
4- 
Country-specific 
recommen-dations, 
to do’s 
and not to do’s 
Subtasks 
1- Helicopter view of 
models, frameworks, 
contexts, case studies 
and evaluation metrics
The Monster 
15
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew worked examples in Task 24 
Case studies collected for IEA DSM Task 24 in transport, building retrofits, SMEs and smart metering Note: Blue boxes denote government-led policies and programmes, green boxes 
denote business, research or community-led programmes and pilots 
16 
Domain/Country 
Cases and used 
theories/models 
Netherlands New Zealand Switzerland Italy Austria Norway Sweden Belgium UK Other countries 
Smart Metering/ 
Feedback 
Jouw Energie Moment 
Theories/Models used: 
Expectancy Value 
Theory 
Design with Intent 
Interpretation for 
sustainable behaviour 
Responses to Time Varying 
Prices for Electricity (Otago 
Uni) 
Theories/Model used: Classical 
Economics and marketing 
Smart Metering Zurich Pilot 
EWZ and EKZ 
Theories/Model used: 
behavioural economics and 
social norms/comparisons 
Time of Use Tariff 
Theories/Models: 
Classical Economics 
Die Energiejagd 
Theories/Models: 
Shared learning, 
Social Norming, 
freezing/ 
unfreezing 
Demosteinkjer 
Theories/Models: 
Theory of Planned 
Behaviour 
Clockwise 
Theories/Models: 
Constructivist 
Learning Theory 
Shared learning 
Rettie, Ruth CHARM 
Theories/Models used: 
social norms approach 
practice theory 
Spain (Juan Pablo 
Garçia): VERDIEM 
Theories/Models: 
Classical Economics 
Smart Metering EKT Dietikon 
Theories/Model used: 
behavioural model of residential 
energy use by Raaij  Verhallen 
behavioural economics and 
social norms/comparisons 
!CO2 
Management 
Theories/Models: 
Classical 
Economics 
Portugal (Joane 
Abreu): Smart meter 
feedback in North 
Theories: Nudge, 
classical economics, 
moments of change 
Munx Repower website 
Theories/Model used: 
behavioural economics, social 
norming 
US (Michela 
Beltracchi): 
Opower feedback 
programme 
Models: Cialdini’s 
Social Norming 
Retrofitting 
Blok voor Blok aanpak, 
retrofitting programme 
Theories/models used: 
Behavioural economics 
Warm Up New Zealand: Heat 
Smart 
Theories/Models used: social 
marketing; social norms; 
classical economic; TPB 
Swiss Building Retrofit 
Program 
Models: Classical Economics 
Retrofitting of 
Myhrenenga 
Housing 
Theories: TPB 
Building retrofits 
Theories: Shared 
Learning 
2000 Watts Society (housing) 
Models: Ethics, long-term 
visioning 
SMEs De Groene Daad 
Theory/model used: 
Nudge 
EECA SME Crown Loans 
Scheme 
Theory/model used: originally 
based on TPB; changed to social 
learning and social norm 
theories 
Energy-Model and SME-Model 
from (EnAW) 
Theories/Models used: 
Classical Economics 
Social norm 
Finnfjord 
Theories: 
Leadership 
Build4Change 
Model: Nudge 
Energy Cultures SMEs pilot 
Model used: Energy Cultures 
Mobility 
Het Nieuwe Rijden (the 
New Driving) 
Theories and models 
used: Psychology: Henry 
A Murray (1938) and the 
acceptability/availability 
model of behaviour by 
Rose (1990). 
Active a2b 
Theory/models used: Norm 
Activation Theory 
Elaboration Likelihood Model 
Stern’s Principles for Intervening 
Triandis TIB 
Lewin’s Unfreezing/Refreezing 
McKenzie-Mohr 
2000 Watt on mobility 
Models: Ethics, long-term 
visioning 
Electric vehicles 
Nobil 
Theories/Models 
used: TPB 
Stockholm 
congestion tax 
Models: activity 
based models 
Chatterton  Wilson 
Framework 
Combining 
individualistic (eg 
Triandis) and societal 
(Practice theory) 
approaches to help UK 
policymakers 
Kevin Luten 
UrbanTrans (Australia) 
Transport behaviour 
change based on BJ 
Fogg 
NZ Post Transport Driver 
behaviour training 
Theory/models used: Value 
Action Gap Theory 
Fuel consumption of newly 
purchased cars 
Theory of Planned Behaviour 
(TPB) and Norm-Activation 
Model (NAM)
The Monster Wiki 
17
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Storytelling 
Narratives = social science tool aimed at providing 
way to explore how big events (policies) impact on 
small scale (individuals) 
Allow for quick, practical and useful understanding of 
complexity of interconnected factors in behaviour 
research 
We all turn everything into a narrative in order to 
remember it 
Is there less bias when telling facts in a narrative 
format rather than in ‘hard’ figures, facts and stats? 
18
Target Audience of Task XXIV A shared language for 
collaboration? 
Stories are powerful because they transport us 
into other people’s worlds but, in doing that, they 
change the way our brains work and potentially 
change our brain chemistry — and that’s what it 
means to be a social creature. Paul Zak, 
Neuroeconomist 
“ 
The Interpreter - is a left hemisphere function that organises our 
memories into plausible stories. Michael Gazzaniga, Cognitive 
Neuroscientist 
Evolution has wired our brains for storytelling. A story, if broken down into the 
simplest form is a connection of cause and effect. We make up (short) stories in 
our heads for every action and conversation. Whenever we hear a story, we 
want to relate it to one of our existing experiences. Uri Hasson, psychologist 
The ‘narrative turn’: Storytelling sociology views lived experience as 
constructed, at least in part, by the stories people tell about it. Berger  
Quinney, sociologists 
“
Different stories* 
*See Janda  Topouzi (2013). Closing the Loop: Using Hero Stories and Learning Stories to Remake Energy Policy ECEEE Summer Study Proceedings. 
20
Storytelling 
Successes 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
THE HITCHHIKER’S GUIDE to DSM 
Subtasks of Task XXIV 
Once upon a time 
A 3-part sRtourlye o#f 1daring research 
collaborations on energy 
Love conquers all 
behaviour and demand response 
Number 8 Wire 
a classic tale of grid challenges and opportunities 
21 
IEA Demand Side Management Programme 
1 
A love story about warm, dry 
homes 
Warm Up New Zealand: Heat Smart 
17 March 2014 | Jenny Lackey, Project Manager, Energy Efficiency and Conservation Authority
Storytelling 
Successes 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
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22 
! 
!!
Storytelling 
Successes 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
! 
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! 
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22 
! 
!!
SubtaSskusb otf aTsaksks XXIV 
5- Social Media Expert platform 
1- Helicopter 
view of models, 
frameworks, 
contexts, case 
studies and 
evaluation 
metrics 
2- 
In depth 
analysis in 
areas of 
greatest need 
(buildings, 
transport, 
SMEs, smart 
metering) 
3- 
Evaluation tool 
for 
stakeholders 
4- 
Country-specific 
recommen-dations, 
to do’s 
and not to do’s 
2- 
In depth analysis in areas 
of greatest need 
(buildings, transport, 
SMEs, smart metering)
subtask II - 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
case studies 
24
Norway - SMEs 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
Finnfjord 
25
Switzerland - Buildings 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
2000 Watt Society 
26
NZ-Buildings/Smart Grid 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
PowerCo Smart House Trial 
The 3 houses chosen here fall into 3 of the 4 categories from the Energy Cultures5 research project: 
Figure 3. Energy Cultures Clusters 
House A in Tauranga belongs to the Energy Cultures’ Energy Efficient cluster and PowerCo’s Value 
Consumers. A young couple and a baby live in the house, as well as 3 cats. The homeowners are using 
only a little over 6000kWh pa and operate only 23 appliances. The House was built in 1998, has 100m2 
and had good insulation and weather tightness (though no double glazing, which is typical for New 
Zealand. None of the houses in this trial have double glazing). The house operated on tariff-reduced 
ripple control for the hot water (from 11pm-7am and 1pm-3pm). There was no heated towel rack or 
clothes dryer. Heating was originally undertaken via portable heaters and a water radiator with plug-in 
timers. They also use electric blankets in winter and a HRV heat replacement system which is on 24h a 
day. 
27 
Methodology 
The house received 1kW of Canadian Solar PV installation, and a network-controllable (for occasional 
critical peaks) heat pump, as well as an energy efficient ceramic topped stove, This a case smart study hot water 
analysis is based on an analysis of project documentation provided by PowerCo POWERCO SMART HOUSE 
PROGRAMME 
Subtask 2 report - NEW ZEALAND 
Metering/Feedback and Building Retrofits) 
Rotmann Date: July 11, 2014 
1. We are not there yet but: Can or can’t we make a significant technical shift in peak demand consumption? 
2. Every consumer, every intervention, every household has !#$%'a different O(!)*response, I+O%*$O,$#)-it is very O14 
complex. about the conversation the consumer wants to have, not what the market or government want to It is about finding the best solution for consumer and good compromises. This is a good learning. 
3. We need to go beyond classical economics and BAU models, the world and the system is changing. 
STRATEGY FOR SMART HOMES: IMPLEMENT AND MEASURE 
Studies Show... 
Consumers respond to information - enabled with technology. 
They respond to price somewhat but respond to price plus technology most of all. 
v 2013.09.17a 
Enabling Technologies 
|Smart Meters 
|Heat Pumps 
|Ecient Appliances 
|Apps and Services 
|PV 
|Internet of Things (Smart Appliances) 
|EVs Storage 
Retailers and Aggregators 
|TOU Pricing 
|New Commercial Models 
|Need not be volume consumed - kWh based 
|Regulated - right incentive can deliver NZ Inc eciency 
|Across Network View - (can optimise) 
|Enable infrastructure best shared (storage?) 
|Long DSM history (hot water) 
Opportunities for EDBs 
Evolving Consumer 
Preferences and Choices 
|Value 
|Social and Environment 
|Comfort 
|Resilience 
|Lifestyle 
EDB Pressures 
|Higher Peaks, Lower Load Factors, 
Lower Economic Eciency 
|Threat to Volume 
|Need for New Investments 
|Increasing Costs 
|Uncertain Reserves 
|Information: pricing and technology services and solutions to lower peaks 
|Information standards plus demo technology to lower new investments 
|Enable new consumer choices without surprises / eciently using networks 
|Evolve new services and / or engagement models 
EDB Network Strength 
Figure 4. From the PowerCo Smart House brochure 
In order to embark into new territory, we need a methodology that embraces change but re!ects the 
kind of solid, robust engineering that PowerCo already delivers. One of the clear outcomes of recent 
“Smart Grid” trials is the need for simplicity. While there may be users that actively enjoy using energy 
management software and gadgets, the majority of people do not have the time. It is our opinion that the 
solutions PowerCo provides to customers be “opt-in” in the sense that they will be working for you whether
PowerMatching 
City 
Engaged participants 
Ruth Mourik
Italy - Buildings/smart meters 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
Energy at Home project 
29
Sweden - Transport 
Stockholm congestion charges 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
30
Austria learnings - 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
Die Energiejagd vs €CO2 Management 
social approach individualistic approach 
31 
social norm (MoU) 
social learning (ToC) 
Freezing/unfreezing (ToC) 
classical economics (MoU) 
Gamification, competition, feedback, 
tailored advice, champions 
Feedback, Advice  Incentive (iPod!) 
Goal: CO2 savings 
Huge success Unexpected ‘failure’
Austria learnings - 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
Die Energiejagd vs €CO2 Management 
social approach individualistic approach 
31 
social norm (MoU) 
social learning (ToC) 
Freezing/unfreezing (ToC) 
classical economics (MoU) 
Gamification, competition, feedback, 
tailored advice, champions 
Feedback, Advice  Incentive (iPod!) 
Goal: CO2 savings 
Huge success Unexpected ‘failure’
Austria learnings - 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
Die Energiejagd vs €CO2 Management 
social approach individualistic approach 
31 
social norm (MoU) 
social learning (ToC) 
Freezing/unfreezing (ToC) 
classical economics (MoU) 
Gamification, competition, feedback, 
tailored advice, champions 
Feedback, Advice  Incentive (iPod!) 
Goal: CO2 savings 
Huge success Unexpected ‘failure’
SubtaSskusb otf aTsaksks XXIV 
5- Social Media Expert platform 
1- Helicopter 
view of models, 
frameworks, 
contexts, case 
studies and 
evaluation 
metrics 
2- 
In depth 
analysis in 
areas of 
greatest need 
(buildings, 
transport, 
SMEs, smart 
metering) 
3- 
Evaluation tool 
for 
stakeholders 
4- 
Country-specific 
recommen-dations, 
to do’s 
and not to do’s 
3- 
Evaluation tool for 
stakeholders
subtask III - 
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 
evaluation 
 WHAT IS A SUCCESSFUL LONG-TERM 
BEHAVIOUR CHANGE OUTCOME TO YOU? 
33
Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Subtask III: Outputs 
- Individual evaluation and monitoring metrics for each domain in 
the Subtask I Monster/Wiki and separate report 
- An overview and some recommendations on monitoring and 
evaluation can be found in Subtask III report ‘Did you behave as 
we designed you to?’ 
- There will also be a methodological review based on ‘Beyond 
kWh’ which will feed into Subtask IX 
34
SubtaSskusb otf aTsaksks XXIV 
5- Social Media Expert platform 
1- Helicopter 
view of models, 
frameworks, 
contexts, case 
studies and 
evaluation 
metrics 
2- 
In depth 
analysis in 
areas of 
greatest need 
(buildings, 
transport, 
SMEs, smart 
metering) 
3- 
Evaluation tool 
for 
stakeholders 
4- 
Country-specific 
recommen-dations, 
to do’s 
and not to do’s 
4- 
Country-specific 
recommendations, to 
do’s and not to do’s
CSuobtuasnkts royf T satsko XrXieIVs 
The Good, the Bad and the Ugly 
- a true frontier story of DSM roll-out in South Africa ! 
BarryBredenkamp , ( SANEDI) and Dr Mathilda du Preez, (University of Pretoria) 
17 March 2014
subtask IV - 
Subtask IV: Country-specific 
country-specific recommendations 
recommendations 
37
subtask IV - 
Subtask IV: Country-specific 
country-specific recommendations 
recommendations 
PLEASE FILL IN 
YOUR 
STAKEHOLDER 
SURVEY! 
37
SubtaSskusb otf aTsaksks XXIV 
5- Social Media Expert platform 
5- Social Media Expert 
1- Helicopter 
view of models, 
frameworks, 
contexts, case 
studies and 
evaluation 
metrics 
2- 
In depth 
analysis in 
areas of 
greatest need 
(buildings, 
transport, 
SMEs, smart 
metering) 
3- 
Evaluation tool 
for 
stakeholders 
4- 
Country-specific 
recommen-dations, 
to do’s 
and not to do’s 
platform
Subtasks of Task XXIV Subtask V - expert 
platform 
-125 videos  presentations 
- 75 photos 
- 6 blogs 
-18 events 
-21 discussion fora 
-3 member groups
Some special features of Task XXIV 
40 
Text 
SubtaPsrekm 5is e- fEorx Tpaeskr tX PXlIVatform
Some special features of Task XXIV 
41 
Text 
SubPtraemskis e5 f o-r MTaaskin X lXeIsVsons 
A social media platform is/not: 
A good place to ‘collect’ experts and info 
A good broadcasting tool 
A good way of measuring Task impact (GA) 
A silver bullet for making people talk 
A way of making busy experts use social media 
A way of easily managing files 
== also created a Wiki to make case studies more 
easily accessible (www.ieadsmtask24wiki.info)
Again...what’s the story? 
- There is no silver bullet anywhere but the potential remains huge 
- Homo economicus doesn’t exist (in energy) 
- Habits are the most difficult thing to break 
- This means we have to get even smarter  embrace complexity 
- We are at a crossroads 
- We need to look a whole-system, societal change 
- This can’t be done in isolation by one sector - collaboration is key 
- Social media and networks are really good (theoretically) for it 
- But: professionals are very weary to use it 
- It’s also hard to find the right people and break down silos 
- Everyone has a piece of the puzzle but we haven’t fit it together 
- We need a shared learning and collaboration platform that works 
- We also need a shared language based on narratives 
- It’s all about the people!
Subtasks of Task XXIV want to hear more of 
our story? 
to join the expert platform: 
drsea@orcon.net.nz

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What is IEA DSM Task 24 on behaviour change?

  • 1. Subtasks of Task XXIV social media and IEA DSM TASK 24 Task XXIV Closing the Loop - Behaviour Change in DSM: From Theory to Practice Dr Sea Rotmann Operating Agent IEC lecture, October 10, 2014
  • 2. Some special features of Task XXIV 2 Text Premise for Task XXIV What’s special about Task 24?
  • 3. socSiuabl tmaskesd oifa T iansk T XaXsIkV 24 @IEADSM @DrSeaRotmann IEA DSM facebook Group IEA DSM LinkedIn Group Expert platform: www.ieadsmtask24.ning.com Task 24 Wiki: www.ieadsmtask24wiki.info IEA DSM website: www.ieadsm.org Behaviour Change & Energy News www.youtube.com/IEADSM Pearltree: drsearotmann Instagram: drsea77 Storify: DrSeaRotmann
  • 4. Participating countries 16 countries 25 Tasks Task 24
  • 5. Our Audience Target Audience of Task XXIV 1Intermediaries Policymakers Researchers Industry The Third Sector 5 Pics via: theinnovativeeducator.blogspot.com, dreamstime.com, agu.org, lifesupplemented.org, rassutassu.com, change.comminit.com
  • 6. Our Audience Target Audience of Task XXIV understanding THE BEHAVIOUR 1Intermediaries Policymakers Researchers Industry The Third Sector OF THE BEHAVIOUR CHANGERS 5 Pics via: theinnovativeeducator.blogspot.com, dreamstime.com, agu.org, lifesupplemented.org, rassutassu.com, change.comminit.com
  • 7. SubtaSskusb otf aTsaksks XXIV 5- Social Media Expert platform 1- Helicopter view of models, frameworks, contexts, case studies and evaluation metrics 2- In depth analysis in areas of greatest need (buildings, transport, SMEs, smart metering) 3- Evaluation tool for stakeholders 4- Country-specific recommen-dations, to do’s and not to do’s
  • 8. Some special features of Task XXIV 7 Text TheP rsemtoiser fyor Toafsk T XXaIsVk 24
  • 9. MSaunby thauskrds loesf Ttoa sokv eXrXcoIVme Towards a multiple models approach ³$OOPRGHOVDUH wrong, but some of WKHPDUHXVHIXO´ George E.P. Box (1979)
  • 10. subtask I - Overview of models, disciplines and Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew frameworks https://www.youtube.com/watch?v=DOTkdA97Woofeature=c4-overviewlist=UU_p3PlWDpLyDBh8TwUBmVHQ 9
  • 13. subtask I - Overview of definitions Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew http://www.slideshare.net/drsea/definitions-for-task-24 11
  • 15. eneSrugbyta ssktso orfi eTsa:s kp XeXrsIVonal YOUTUBE: https://www.youtube.com/watch? v=wbe83S8FfO0list=UU_p3PlWDpLyDBh8TwUBmVHQ
  • 16. 5- Social Media Expert platform 1- Helicopter view of models, frameworks, contexts, case studies and evaluation metrics 2- In depth analysis in areas of greatest need (buildings, transport, SMEs, smart metering) 3- Evaluation tool for stakeholders 4- Country-specific recommen-dations, to do’s and not to do’s Subtasks 1- Helicopter view of models, frameworks, contexts, case studies and evaluation metrics
  • 18. Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew worked examples in Task 24 Case studies collected for IEA DSM Task 24 in transport, building retrofits, SMEs and smart metering Note: Blue boxes denote government-led policies and programmes, green boxes denote business, research or community-led programmes and pilots 16 Domain/Country Cases and used theories/models Netherlands New Zealand Switzerland Italy Austria Norway Sweden Belgium UK Other countries Smart Metering/ Feedback Jouw Energie Moment Theories/Models used: Expectancy Value Theory Design with Intent Interpretation for sustainable behaviour Responses to Time Varying Prices for Electricity (Otago Uni) Theories/Model used: Classical Economics and marketing Smart Metering Zurich Pilot EWZ and EKZ Theories/Model used: behavioural economics and social norms/comparisons Time of Use Tariff Theories/Models: Classical Economics Die Energiejagd Theories/Models: Shared learning, Social Norming, freezing/ unfreezing Demosteinkjer Theories/Models: Theory of Planned Behaviour Clockwise Theories/Models: Constructivist Learning Theory Shared learning Rettie, Ruth CHARM Theories/Models used: social norms approach practice theory Spain (Juan Pablo Garçia): VERDIEM Theories/Models: Classical Economics Smart Metering EKT Dietikon Theories/Model used: behavioural model of residential energy use by Raaij Verhallen behavioural economics and social norms/comparisons !CO2 Management Theories/Models: Classical Economics Portugal (Joane Abreu): Smart meter feedback in North Theories: Nudge, classical economics, moments of change Munx Repower website Theories/Model used: behavioural economics, social norming US (Michela Beltracchi): Opower feedback programme Models: Cialdini’s Social Norming Retrofitting Blok voor Blok aanpak, retrofitting programme Theories/models used: Behavioural economics Warm Up New Zealand: Heat Smart Theories/Models used: social marketing; social norms; classical economic; TPB Swiss Building Retrofit Program Models: Classical Economics Retrofitting of Myhrenenga Housing Theories: TPB Building retrofits Theories: Shared Learning 2000 Watts Society (housing) Models: Ethics, long-term visioning SMEs De Groene Daad Theory/model used: Nudge EECA SME Crown Loans Scheme Theory/model used: originally based on TPB; changed to social learning and social norm theories Energy-Model and SME-Model from (EnAW) Theories/Models used: Classical Economics Social norm Finnfjord Theories: Leadership Build4Change Model: Nudge Energy Cultures SMEs pilot Model used: Energy Cultures Mobility Het Nieuwe Rijden (the New Driving) Theories and models used: Psychology: Henry A Murray (1938) and the acceptability/availability model of behaviour by Rose (1990). Active a2b Theory/models used: Norm Activation Theory Elaboration Likelihood Model Stern’s Principles for Intervening Triandis TIB Lewin’s Unfreezing/Refreezing McKenzie-Mohr 2000 Watt on mobility Models: Ethics, long-term visioning Electric vehicles Nobil Theories/Models used: TPB Stockholm congestion tax Models: activity based models Chatterton Wilson Framework Combining individualistic (eg Triandis) and societal (Practice theory) approaches to help UK policymakers Kevin Luten UrbanTrans (Australia) Transport behaviour change based on BJ Fogg NZ Post Transport Driver behaviour training Theory/models used: Value Action Gap Theory Fuel consumption of newly purchased cars Theory of Planned Behaviour (TPB) and Norm-Activation Model (NAM)
  • 20. Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Storytelling Narratives = social science tool aimed at providing way to explore how big events (policies) impact on small scale (individuals) Allow for quick, practical and useful understanding of complexity of interconnected factors in behaviour research We all turn everything into a narrative in order to remember it Is there less bias when telling facts in a narrative format rather than in ‘hard’ figures, facts and stats? 18
  • 21. Target Audience of Task XXIV A shared language for collaboration? Stories are powerful because they transport us into other people’s worlds but, in doing that, they change the way our brains work and potentially change our brain chemistry — and that’s what it means to be a social creature. Paul Zak, Neuroeconomist “ The Interpreter - is a left hemisphere function that organises our memories into plausible stories. Michael Gazzaniga, Cognitive Neuroscientist Evolution has wired our brains for storytelling. A story, if broken down into the simplest form is a connection of cause and effect. We make up (short) stories in our heads for every action and conversation. Whenever we hear a story, we want to relate it to one of our existing experiences. Uri Hasson, psychologist The ‘narrative turn’: Storytelling sociology views lived experience as constructed, at least in part, by the stories people tell about it. Berger Quinney, sociologists “
  • 22. Different stories* *See Janda Topouzi (2013). Closing the Loop: Using Hero Stories and Learning Stories to Remake Energy Policy ECEEE Summer Study Proceedings. 20
  • 23. Storytelling Successes Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew THE HITCHHIKER’S GUIDE to DSM Subtasks of Task XXIV Once upon a time A 3-part sRtourlye o#f 1daring research collaborations on energy Love conquers all behaviour and demand response Number 8 Wire a classic tale of grid challenges and opportunities 21 IEA Demand Side Management Programme 1 A love story about warm, dry homes Warm Up New Zealand: Heat Smart 17 March 2014 | Jenny Lackey, Project Manager, Energy Efficiency and Conservation Authority
  • 24. Storytelling Successes Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew ! How the island became green – a ‘Just So’ scenario !#$%'$($)*+#,,,!.+%)%!/#0!#!01#22!*345.)67!#5!802#59!5#.8357!.+#.!04):8:%9!130.26!;6!0%2285$!339!#59!8;)%!=)394*.0!35! 85.%)5#.835#2!*311398.6!1#)%.0?!!! ! -.#/0$1(0???!=)394*.835!/3429!85*)%#0%@!13)%!1%#.7!13)%!/3327!13)%!23$07!13)%!80+7!13)%!)48.7!#59!13)%!182?!!A)3/85$!AB!/#0! .+%!130.!81=3).#5.!$3#2!3)!.+#.!*345.)67!%:%5!13)%!81=3).#5.!.+#5!.+%!/%22;%85$!3!8.0!=%3=2%!#59!.+%!%5:8)351%5.?!!! ! 2%)$'#$1(0???!!=%3=2%!0.#).%9!.3!)%#280%!.+#.!.+%8)!)8:%)0!/%)%!;%*3185$!85*)%#085$26!=3224.%97!8.!/#0!+#)9%)!.3!*#.*+!80+!#59!13)%! 5#.8:%!;8)90!#59!#581#2!0=%*8%0!/%)%!.+)%#.%5%9!/8.+!%C.85*.835?! ! 34#???!.+%!)%0.D3D.+%D/3)29!0.#).%9!.3!)%#280%!.+#.!.+%!=%3=2%!3!.+%!802#59!5#.835!/%)%5E.!.+#.!*2%:%)!#59!+#==6!#.%)!#227!;%*#40%! .+%6!%=.!=3224.85$!.+%8)!3/5!5%0.?!!! ! 5)$)4#$6(+#$)*+#!???!0%)8340!0.3)10!#59!9)34$+.0!0.#).%9!.3!81=#*.!35!.+%!/3)29!#0!#!)%042.!3!*281#.%!*+#5$%?!!F+%!)%0.D3D.+%D /3)29!#203!53.8*%9!.+#.!.+%!=%3=2%!3!.+80!802#59!5#.835!/%)%!:%)6!+8$+!=%)!*#=8.#!=)394*%)0!3!$)%%5+340%!$#0%07!+8$+%)!.+#5! #2130.!#22!3.+%)0!85!.+%!/3)297!#59!.+#.!8.!%=.!85*)%#085$?!!G3!.+%!)%0.D3D.+%D/3)29!0.#).%9!.3!934;.!.+#.!.+%!802#59!5#.835!/#0!.)426! H*2%#5!#59!$)%%5E!#59!.+%6!;%*#1%!2%00!%%5!35!:808.85$!.+%!*345.)6!#59!;4685$!8.0!=)394*.0?! ! 2#7(%6#$'8$)4()???!.+%!=%3=2%!3!.+%!802#59!5#.835!/%)%!85#226!$#2:#580%9!85.3!#*.835?!F+%6!)%#280%9!.+%6!+#9!1#56!#9:#5.#$%07!28%! 23.0!3!)%5%/#;2%!%5%)$67!1#56!;4085%00%0!.+#.!/%)%!#2)%#96!=#00835#.%!#;34.!040.#85#;828.67!#)1%)0!/+3!5%/!+3/!.3!1#85.#85!#! +%#2.+6!%5:8)351%5.7!#59!1#56!8553:#.3)0!#59!%5.)%=)%5%4)0?!! ! 51$)4#???!.+%6!0.#).%9!.3!/3)!.3$%.+%)@!;4085%00%07!*345*8207!*311458.8%07!=328.8*8#50!#59!)%0%#)*+%)07!)%#28085$!.+#.!#!13:%!.3!#! 23/%)!*#);35!33.=)85.!/3429!;%!;%5%8*8#2!3)!.+%!%*353167!03*8%.6!#59!.+%!%5:8)351%5.?!!F+%6!#22!#$)%%9!.+#.!#!)%0828%5.7!+%#2.+6! %5:8)351%5.!#59!03*8%.6!5%%9%9!.3!;%!.+%!;#080!3!.+%!%*353167!#59!.+#.!AB!#235%!/#0!53.!%%*.8:%!#0!#!1%#04)%!3!04**%00?!!! ! 596'$I!.+%6!)%#280%9!.+#.!8.!/#0!#*.4#226!53.!#0!+#)9!#0!.+%6!.+34$+.!.3!*31;85%!.+%8)!5#.835E0!5#.4)#2!#9:#5.#$%0!#59!)%034)*%0! /8.+!*4..85$D%9$%!8553:#.835!#59!*31%!4=!/8.+!=)394*.0!#59!0%):8*%0!.+#.!.+%!)%0.D3D.+%D/3)29!)%#226!:#24%9?! ! :'$8*(990,??!85!14*+!2%00!.81%!.+#5!.+%6!.+34$+.7!.+%6!+#9!''J!)%5%/#;2%!%2%*.)8*8.67!23/D*#);35!+%#.85$!#59!.)#50=3).!060.%107! *2%#5!#59!+%#2.+6!/#.%)/#60!#59!*3#0.07!)%94*%9!;8398:%)08.6!23007!#59!+#==8%)!#59!+%#2.+8%)!*311458.8%0?!! ! -.#/$6*7#$)4#???!.+%!802#59!5#.835!+#0!35*%!#$#85!;%%5!233%9!4=!.3!;6!.+%!)%0.D3D.+%D/3)29!3)!8.0!2%#9%)0+8=!85!#*+8%:85$!#! :8;)#5.!%*35316!#235$089%!#!+%#2.+6!%5:8)351%5.?!G1#).!=%3=2%!*35.854%!.3!)%.4)5!+31%!.3!.+#.!*345.)6!)31!#)3459!.+%!/3)297! #..)#*.%9!;6!.+%!1#56!K3;0!3)!0822%9!#59!53/2%9$%#;2%!=%3=2%!#59!8.0!;%#4.842!+%#2.+6!%5:8)351%5.?!! ! F+%!%59? 22 ! !!
  • 25. Storytelling Successes Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew ! How the island became green – a ‘Just So’ scenario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
  • 26. SubtaSskusb otf aTsaksks XXIV 5- Social Media Expert platform 1- Helicopter view of models, frameworks, contexts, case studies and evaluation metrics 2- In depth analysis in areas of greatest need (buildings, transport, SMEs, smart metering) 3- Evaluation tool for stakeholders 4- Country-specific recommen-dations, to do’s and not to do’s 2- In depth analysis in areas of greatest need (buildings, transport, SMEs, smart metering)
  • 27. subtask II - Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew case studies 24
  • 28. Norway - SMEs Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Finnfjord 25
  • 29. Switzerland - Buildings Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 2000 Watt Society 26
  • 30. NZ-Buildings/Smart Grid Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew PowerCo Smart House Trial The 3 houses chosen here fall into 3 of the 4 categories from the Energy Cultures5 research project: Figure 3. Energy Cultures Clusters House A in Tauranga belongs to the Energy Cultures’ Energy Efficient cluster and PowerCo’s Value Consumers. A young couple and a baby live in the house, as well as 3 cats. The homeowners are using only a little over 6000kWh pa and operate only 23 appliances. The House was built in 1998, has 100m2 and had good insulation and weather tightness (though no double glazing, which is typical for New Zealand. None of the houses in this trial have double glazing). The house operated on tariff-reduced ripple control for the hot water (from 11pm-7am and 1pm-3pm). There was no heated towel rack or clothes dryer. Heating was originally undertaken via portable heaters and a water radiator with plug-in timers. They also use electric blankets in winter and a HRV heat replacement system which is on 24h a day. 27 Methodology The house received 1kW of Canadian Solar PV installation, and a network-controllable (for occasional critical peaks) heat pump, as well as an energy efficient ceramic topped stove, This a case smart study hot water analysis is based on an analysis of project documentation provided by PowerCo POWERCO SMART HOUSE PROGRAMME Subtask 2 report - NEW ZEALAND Metering/Feedback and Building Retrofits) Rotmann Date: July 11, 2014 1. We are not there yet but: Can or can’t we make a significant technical shift in peak demand consumption? 2. Every consumer, every intervention, every household has !#$%'a different O(!)*response, I+O%*$O,$#)-it is very O14 complex. about the conversation the consumer wants to have, not what the market or government want to It is about finding the best solution for consumer and good compromises. This is a good learning. 3. We need to go beyond classical economics and BAU models, the world and the system is changing. STRATEGY FOR SMART HOMES: IMPLEMENT AND MEASURE Studies Show... Consumers respond to information - enabled with technology. They respond to price somewhat but respond to price plus technology most of all. v 2013.09.17a Enabling Technologies |Smart Meters |Heat Pumps |Ecient Appliances |Apps and Services |PV |Internet of Things (Smart Appliances) |EVs Storage Retailers and Aggregators |TOU Pricing |New Commercial Models |Need not be volume consumed - kWh based |Regulated - right incentive can deliver NZ Inc eciency |Across Network View - (can optimise) |Enable infrastructure best shared (storage?) |Long DSM history (hot water) Opportunities for EDBs Evolving Consumer Preferences and Choices |Value |Social and Environment |Comfort |Resilience |Lifestyle EDB Pressures |Higher Peaks, Lower Load Factors, Lower Economic Eciency |Threat to Volume |Need for New Investments |Increasing Costs |Uncertain Reserves |Information: pricing and technology services and solutions to lower peaks |Information standards plus demo technology to lower new investments |Enable new consumer choices without surprises / eciently using networks |Evolve new services and / or engagement models EDB Network Strength Figure 4. From the PowerCo Smart House brochure In order to embark into new territory, we need a methodology that embraces change but re!ects the kind of solid, robust engineering that PowerCo already delivers. One of the clear outcomes of recent “Smart Grid” trials is the need for simplicity. While there may be users that actively enjoy using energy management software and gadgets, the majority of people do not have the time. It is our opinion that the solutions PowerCo provides to customers be “opt-in” in the sense that they will be working for you whether
  • 31. PowerMatching City Engaged participants Ruth Mourik
  • 32. Italy - Buildings/smart meters Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Energy at Home project 29
  • 33. Sweden - Transport Stockholm congestion charges Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew 30
  • 34. Austria learnings - Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Die Energiejagd vs €CO2 Management social approach individualistic approach 31 social norm (MoU) social learning (ToC) Freezing/unfreezing (ToC) classical economics (MoU) Gamification, competition, feedback, tailored advice, champions Feedback, Advice Incentive (iPod!) Goal: CO2 savings Huge success Unexpected ‘failure’
  • 35. Austria learnings - Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Die Energiejagd vs €CO2 Management social approach individualistic approach 31 social norm (MoU) social learning (ToC) Freezing/unfreezing (ToC) classical economics (MoU) Gamification, competition, feedback, tailored advice, champions Feedback, Advice Incentive (iPod!) Goal: CO2 savings Huge success Unexpected ‘failure’
  • 36. Austria learnings - Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Die Energiejagd vs €CO2 Management social approach individualistic approach 31 social norm (MoU) social learning (ToC) Freezing/unfreezing (ToC) classical economics (MoU) Gamification, competition, feedback, tailored advice, champions Feedback, Advice Incentive (iPod!) Goal: CO2 savings Huge success Unexpected ‘failure’
  • 37. SubtaSskusb otf aTsaksks XXIV 5- Social Media Expert platform 1- Helicopter view of models, frameworks, contexts, case studies and evaluation metrics 2- In depth analysis in areas of greatest need (buildings, transport, SMEs, smart metering) 3- Evaluation tool for stakeholders 4- Country-specific recommen-dations, to do’s and not to do’s 3- Evaluation tool for stakeholders
  • 38. subtask III - Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew evaluation  WHAT IS A SUCCESSFUL LONG-TERM BEHAVIOUR CHANGE OUTCOME TO YOU? 33
  • 39. Subtask I - Pre mHiesleic fooprt Tera sOkv XerXvIiVew Subtask III: Outputs - Individual evaluation and monitoring metrics for each domain in the Subtask I Monster/Wiki and separate report - An overview and some recommendations on monitoring and evaluation can be found in Subtask III report ‘Did you behave as we designed you to?’ - There will also be a methodological review based on ‘Beyond kWh’ which will feed into Subtask IX 34
  • 40. SubtaSskusb otf aTsaksks XXIV 5- Social Media Expert platform 1- Helicopter view of models, frameworks, contexts, case studies and evaluation metrics 2- In depth analysis in areas of greatest need (buildings, transport, SMEs, smart metering) 3- Evaluation tool for stakeholders 4- Country-specific recommen-dations, to do’s and not to do’s 4- Country-specific recommendations, to do’s and not to do’s
  • 41. CSuobtuasnkts royf T satsko XrXieIVs The Good, the Bad and the Ugly - a true frontier story of DSM roll-out in South Africa ! BarryBredenkamp , ( SANEDI) and Dr Mathilda du Preez, (University of Pretoria) 17 March 2014
  • 42. subtask IV - Subtask IV: Country-specific country-specific recommendations recommendations 37
  • 43. subtask IV - Subtask IV: Country-specific country-specific recommendations recommendations PLEASE FILL IN YOUR STAKEHOLDER SURVEY! 37
  • 44. SubtaSskusb otf aTsaksks XXIV 5- Social Media Expert platform 5- Social Media Expert 1- Helicopter view of models, frameworks, contexts, case studies and evaluation metrics 2- In depth analysis in areas of greatest need (buildings, transport, SMEs, smart metering) 3- Evaluation tool for stakeholders 4- Country-specific recommen-dations, to do’s and not to do’s platform
  • 45. Subtasks of Task XXIV Subtask V - expert platform -125 videos presentations - 75 photos - 6 blogs -18 events -21 discussion fora -3 member groups
  • 46. Some special features of Task XXIV 40 Text SubtaPsrekm 5is e- fEorx Tpaeskr tX PXlIVatform
  • 47. Some special features of Task XXIV 41 Text SubPtraemskis e5 f o-r MTaaskin X lXeIsVsons A social media platform is/not: A good place to ‘collect’ experts and info A good broadcasting tool A good way of measuring Task impact (GA) A silver bullet for making people talk A way of making busy experts use social media A way of easily managing files == also created a Wiki to make case studies more easily accessible (www.ieadsmtask24wiki.info)
  • 48. Again...what’s the story? - There is no silver bullet anywhere but the potential remains huge - Homo economicus doesn’t exist (in energy) - Habits are the most difficult thing to break - This means we have to get even smarter embrace complexity - We are at a crossroads - We need to look a whole-system, societal change - This can’t be done in isolation by one sector - collaboration is key - Social media and networks are really good (theoretically) for it - But: professionals are very weary to use it - It’s also hard to find the right people and break down silos - Everyone has a piece of the puzzle but we haven’t fit it together - We need a shared learning and collaboration platform that works - We also need a shared language based on narratives - It’s all about the people!
  • 49. Subtasks of Task XXIV want to hear more of our story? to join the expert platform: drsea@orcon.net.nz