TransGrid’s 2014 Demand 
Management Innovation Forum 
Wrestling Marshmallows: 
how to build a demand 
management market? 
Chris Dunstan, ISF 
24 September 2014 
1 | The role of networks in a changing market dynamic September 2014
Introduction 
TransGrid’s 2014 Demand Management Innovation 
Forum was held on 24 September in Sydney. 
This is an annual event that TransGrid hold to discuss 
demand management activities both in our network 
and across the NEM. 
More than 60 people joined the conversation, ranging 
from large energy users, consumer advocates, 
researchers, technology providers and other 
networks. 
2 | TransGrid’s 2014 Demand Management Innovation Forum 24 September 2014
Overview 
1. State of Play: 
Not Business as Usual 
2. Barriers to DM 
3. Building the DM market 
(Targets, Reporting, Incentives and Customer Engagement) 
4. Crossing the streams?
What is Demand Management (DM)? 
Reducing or shifting demand, as an alternative to providing 
more supply capacity to meet demand 
Peak Load Management 
Ice Storage 
Battery Storage / EVs 
Power factor correction 
Energy 
Efficiency 
Distributed 
Generation 
Interruptible loads 
Cogeneration 
Efficient motors & chillers 
Efficient Lighting 
Efficient showerheads 
Efficiency Retrofits 
Gas Chillers 
Electric to Gas Hot Water 
Standby Generation 
Time of Use pricing 
Biomass Generation 
Small Gas Generation 
Solar Photovoltaics 
Behaviour change
State of Play 
Not business as usual
“Another Kodak moment?” 
1. What business are you in? 
2. What business do you want to be in? 
3. What business are you expected to be in? 
Source Technology Review: http://philebersole.wordpress.com/2012/01/21/kodak-and-the-rochester-mentality/
Don’t cross the streams? 
The old paradigm 
> Centralised supply 
> Forecast demand 
> Build infrastructure 
> Maximise revenue 
from growing MWh 
> Minimal DM 
> Little engagement with 
customers (end users) 
The new paradigm 
> Decentralised supply 
> Manage demand 
> Invest in least cost supply 
and demand side mix 
> Grow revenue & returns by 
customer value adding 
> Maximise cost effective DM 
> Extensive engagement with 
customers (and retailers 
and service providers)
The DM Opportunity 
$16b 
$14b 
$12b 
$10b 
$8b 
$6b 
$4b 
$2b 
$0b 
Total benefit of demand reduction in the NEM 2013/14 to 2022/23 
Lower Upper 
NPV of absolute benefits 
Demand reduction case 
Efficient pricing 
Demand response 
Energy efficiency 
$4.35b 
$11.7b 
Source Data : AEMC Power of Choice Review Final Report, 2012
Demand Management Innovation Allowance: allocation and expenditure 
12% 14% 15% 
44% 
1% 
20% 
0% 
12% 
70% 
1% 
100% 
80% 
60% 
40% 
20% 
7% 4% 0% 
$6m 
$5m 
$4m 
$3m 
$2m 
$1m 
$0m 
ActewAGL 
Ausgrid 
Endeavour 
Essential 
Energex 
Ergon 
SA Power 
CitiPower 
Jemena 
Powercor 
SPAusNet 
United 
Aurora 
ACT NSW QLD SA VIC TAS 
2009-14 2010-15 2011-15 2012-16 
DMIA spent to 2011/12 DMIA allocated over 5yr period Proportion of DMIA spent 
Source: AEMC Power of Choice Review Final Report, 2012
Status of Network DM 
US average 
Aust average 
Source ISF, Restoring Power: Cutting Bills & Carbon Emissions with Demand Management 
http://www.aemc.gov.au/getattachment/fa79d4d7-ff1d-4632-b818-45c99bb23ca3/Rule-change-request-supporting-report.aspx
Source: 2014 National Electricity Forecasting Report (NEFR) (June 2016)
Source: 2014 National Electricity Forecasting Report (NEFR) (June 2016)
Source: 2014 National Electricity Forecasting Report (NEFR) (June 2016)
Components of electricity price rises in NSW 
2007/08 - 2012/13 
14 
Source: IPART, Review of regulated retail prices and charges for electricity 2013 to 2016, (2012)
Wild Card 1: Solar PV 
Source: APVI http://pv-map.apvi.org.au/analyses
Wild Card 2: Climate policy 
“Climate change is a defining issue of 
our age, of our present. Our response 
will define our future. 
… 
The human, environmental and 
financial cost of climate change is fast 
becoming unbearable. We have never 
faced such a challenge, nor such an 
opportunity. 
… 
We must cut emissions. Science says 
they must peak by 2020 and decline 
sharply thereafter. By the end of this 
http://cambia.pe/?p=6240 century we must be carbon neutral.” 
Ban Ki-moon, Secretary-General, United Nations, 23 Sept 2014 
http://www.theguardian.com/environment/blog/live/2014/sep/23/un-climate-change-summit-in-new-york-live-coverage#block-54216343e4b020a19dddfbfe
Wild Card 3: Energy Efficiency 
the cheapest way to cut carbon emissions 
Source: International Energy Agency, 
World Energy Outlook 2011, Fig 6.4
Wild Card 4: Electric Vehicles 
The Mitsubishi i-MiEV 
(16kWh of batteries + 
54 kW electric generator) 
Q. How many Volts = Australia’s 
total peak electricity demand? 
A. ~800,000 (= 6% of the fleet) 
(16kWh of batteries + 
150 km range) 
(Chevy) Holden Volt
Wild cards interactions? e.g. EV + PVs 
Cost of Solar PV: 2009-2020 (Chevy) Holden Volt 
Solar is already at “socket parity” 
cost in much of Australia 
What happens when you combine: 
(16kWh of batteries + 
54 kW electric generator) 
cheap solar energy with... “free” battery storage and 
abundant local generation?
Will “grid defection” impact 
be bigger for those who stay?
Wild Card 5: 
Empowering consumers (& 3rd parties) with data
Google 
Nest
How should network businesses respond? 
(possible options) 
1. “Defensive” pricing (e.g. raise fixed access charges) 
2. Cost reflective pricing 
(e.g. capacity charges & dynamic peak pricing) 
• Needs interval/smart meters and customer acceptance 
3. Demand management incentives 
(e.g. support customers to lower their bills) 
• Needs policy reform to address disincentives.
Barriers to DM
Survey of Perceived 
Barriers to DM (2011) 
• Do stakeholders agree these 
barriers are real? 
• Which barriers most important? 
• Do different stakeholder groups 
see barriers differently? 
– 800 stakeholders; 
– 200 replies 
www.a2se.org.au/images/stories/files/a2se_isf_dm 
%20barriers%20report%20june%202011.pdf
Survey Respondents 
Category Respondents # Respondents 
Utilities Energy Utility – Network 
Energy Utility – Retailer 
Energy Utility – Generator 
29 
5 
1 
Government Government Agency – Federal 
Government Agency – State 
Government Agency – Local 
2 
20 
8 
End User Energy Consumer – Commercial 
Energy Consumer – Industrial 
12 
2 
DM Provider Demand Management Provider 
Demand Management Consultancy 
Energy Supply Consultancy 
8 
17 
14 
Other Environmental organisation 
Consumer organisation 
Industry organisation 
Regulator 
Research Institution 
Other 
16 
8 
3 
2 
26 
28 
*
Wrestling Marshmallows - TransGrid's 2014 Demand Management Innovation Forum
Stakeholder Type: 
Level of Agreement 
Top 10 Barriers to DE
How do we build a 
Demand Management market 
that maximises benefits to customers, 
while protecting network businesses 
(and facilitating carbon emission reduction)?
Elements of an effective DM incentive scheme 
*AER addressing this 
*AER addressing this 
*small 
*AER addressing this 
Source ISF, Restoring Power: Cutting Bills & Carbon Emissions with Demand Management 
http://www.aemc.gov.au/getattachment/fa79d4d7-ff1d-4632-b818-45c99bb23ca3/Rule-change-request-supporting-report.aspx
6 KEY ACTIONS FOR NETWORK DM 
1. AEMC to change National Electricity Rules to remove actual and 
perceived barriers to DM. 
2. AER to establish an effective DM Incentive Scheme (DMIS) to drive DM 
wherever it will reduce costs to consumers. 
3. Set collaborative DM targets with distribution network businesses. 
4. Ensure transparent DM reporting by network businesses. 
5. Provide effective DM performance incentives to network businesses. 
6. Intensive customer engagement (incl. via intermediaries) via pricing, 
incentives, facilitation and information 
• Ring-fencing barriers?
Precedent #1: Californian DSM Incentive Scheme 
• Incentive/Penalty Mechanism – Utility ratepayers and shareholders 
“share the savings” from EE programs. 
• Financial rewards balanced by penalties for poor performance, tied 
to Commission-adopted kW, kWh and therm savings goals. 
Source: Dian Grueneich, California Public Utilities Commission, 2007
Precedent #2: Queensland Energy Conservation 
& Demand Management Program 
> In 2009/10, Qld Govt allocated $47 million for 
demonstration projects 
> In 2010, Energex and Ergon sought and were 
allocated ~$220 million for Demand Management 
programs from the Australian Energy Regulator 
> Energex and Ergon now have extensive plans, 
teams, budgets and targets in place to reduce 
demand growth and support DE. 
33
© Institute for 
Sustainable Futures, 
UTS 
34 
http://www.energex.com.au/network/network_prices/pdf/Energy%20Conservation%20&%20Demand%20Management.pdf
Informing the market: 
Network Opportunity Maps 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
2010 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
2011 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
2012 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
2013 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
2014 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
2015
Summer Peak Day- 9am 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
Summer Peak Day- 1pm 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
Summer Peak Day- 4pm 
Dynamic Avoidable Network Cost Evaluation (DANCE) Model 
http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
 Price reform (and metering). 
-incl. AEMC Distribution Network Pricing Arrangements draft rule change. 
 Actively engage with customers to cut their bills via DM. 
(Demand side engagement strategy) 
 DM planning and budgets in Network Pricing Determination. 
 Seek an effective DMIS from AER. 
 DMIS Rule Change an opportunity to progress network DM. 
 ARENA/ISF network opportunity mapping re DM 
 Just do it! 
Network DM Next Steps?
1. What business are you in? 
2. What business do you want to be in? 
3. What business are you expected to be in? 
These are key questions not just for NSPs, 
but regulators and policy makers too.
Donald Horne, The Lucky County, 1964 
“Australia is a lucky 
country run mainly by 
second-rate people who 
share its luck.” 
…but also: 
“The saving Australian characteristic … is the ability to change course 
quickly, even at the last moment ... This can happen almost without 
discussion or dramatization of the change… 
Australians … hate discussion and ‘theory’ but they can step quickly 
out of the way if events are about to smack them in the face.”
Or when it comes to wrestling 
marshmallow, listen to the experts: 
Cross the streams! 
http://www.youtube.com/watch?v=9wrEEd1ajz4
Thank you 
Chris Dunstan 
E: chris.dunstan@uts.edu.au, 
T: 02 9514 4882

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Wrestling Marshmallows - TransGrid's 2014 Demand Management Innovation Forum

  • 1. TransGrid’s 2014 Demand Management Innovation Forum Wrestling Marshmallows: how to build a demand management market? Chris Dunstan, ISF 24 September 2014 1 | The role of networks in a changing market dynamic September 2014
  • 2. Introduction TransGrid’s 2014 Demand Management Innovation Forum was held on 24 September in Sydney. This is an annual event that TransGrid hold to discuss demand management activities both in our network and across the NEM. More than 60 people joined the conversation, ranging from large energy users, consumer advocates, researchers, technology providers and other networks. 2 | TransGrid’s 2014 Demand Management Innovation Forum 24 September 2014
  • 3. Overview 1. State of Play: Not Business as Usual 2. Barriers to DM 3. Building the DM market (Targets, Reporting, Incentives and Customer Engagement) 4. Crossing the streams?
  • 4. What is Demand Management (DM)? Reducing or shifting demand, as an alternative to providing more supply capacity to meet demand Peak Load Management Ice Storage Battery Storage / EVs Power factor correction Energy Efficiency Distributed Generation Interruptible loads Cogeneration Efficient motors & chillers Efficient Lighting Efficient showerheads Efficiency Retrofits Gas Chillers Electric to Gas Hot Water Standby Generation Time of Use pricing Biomass Generation Small Gas Generation Solar Photovoltaics Behaviour change
  • 5. State of Play Not business as usual
  • 6. “Another Kodak moment?” 1. What business are you in? 2. What business do you want to be in? 3. What business are you expected to be in? Source Technology Review: http://philebersole.wordpress.com/2012/01/21/kodak-and-the-rochester-mentality/
  • 7. Don’t cross the streams? The old paradigm > Centralised supply > Forecast demand > Build infrastructure > Maximise revenue from growing MWh > Minimal DM > Little engagement with customers (end users) The new paradigm > Decentralised supply > Manage demand > Invest in least cost supply and demand side mix > Grow revenue & returns by customer value adding > Maximise cost effective DM > Extensive engagement with customers (and retailers and service providers)
  • 8. The DM Opportunity $16b $14b $12b $10b $8b $6b $4b $2b $0b Total benefit of demand reduction in the NEM 2013/14 to 2022/23 Lower Upper NPV of absolute benefits Demand reduction case Efficient pricing Demand response Energy efficiency $4.35b $11.7b Source Data : AEMC Power of Choice Review Final Report, 2012
  • 9. Demand Management Innovation Allowance: allocation and expenditure 12% 14% 15% 44% 1% 20% 0% 12% 70% 1% 100% 80% 60% 40% 20% 7% 4% 0% $6m $5m $4m $3m $2m $1m $0m ActewAGL Ausgrid Endeavour Essential Energex Ergon SA Power CitiPower Jemena Powercor SPAusNet United Aurora ACT NSW QLD SA VIC TAS 2009-14 2010-15 2011-15 2012-16 DMIA spent to 2011/12 DMIA allocated over 5yr period Proportion of DMIA spent Source: AEMC Power of Choice Review Final Report, 2012
  • 10. Status of Network DM US average Aust average Source ISF, Restoring Power: Cutting Bills & Carbon Emissions with Demand Management http://www.aemc.gov.au/getattachment/fa79d4d7-ff1d-4632-b818-45c99bb23ca3/Rule-change-request-supporting-report.aspx
  • 11. Source: 2014 National Electricity Forecasting Report (NEFR) (June 2016)
  • 12. Source: 2014 National Electricity Forecasting Report (NEFR) (June 2016)
  • 13. Source: 2014 National Electricity Forecasting Report (NEFR) (June 2016)
  • 14. Components of electricity price rises in NSW 2007/08 - 2012/13 14 Source: IPART, Review of regulated retail prices and charges for electricity 2013 to 2016, (2012)
  • 15. Wild Card 1: Solar PV Source: APVI http://pv-map.apvi.org.au/analyses
  • 16. Wild Card 2: Climate policy “Climate change is a defining issue of our age, of our present. Our response will define our future. … The human, environmental and financial cost of climate change is fast becoming unbearable. We have never faced such a challenge, nor such an opportunity. … We must cut emissions. Science says they must peak by 2020 and decline sharply thereafter. By the end of this http://cambia.pe/?p=6240 century we must be carbon neutral.” Ban Ki-moon, Secretary-General, United Nations, 23 Sept 2014 http://www.theguardian.com/environment/blog/live/2014/sep/23/un-climate-change-summit-in-new-york-live-coverage#block-54216343e4b020a19dddfbfe
  • 17. Wild Card 3: Energy Efficiency the cheapest way to cut carbon emissions Source: International Energy Agency, World Energy Outlook 2011, Fig 6.4
  • 18. Wild Card 4: Electric Vehicles The Mitsubishi i-MiEV (16kWh of batteries + 54 kW electric generator) Q. How many Volts = Australia’s total peak electricity demand? A. ~800,000 (= 6% of the fleet) (16kWh of batteries + 150 km range) (Chevy) Holden Volt
  • 19. Wild cards interactions? e.g. EV + PVs Cost of Solar PV: 2009-2020 (Chevy) Holden Volt Solar is already at “socket parity” cost in much of Australia What happens when you combine: (16kWh of batteries + 54 kW electric generator) cheap solar energy with... “free” battery storage and abundant local generation?
  • 20. Will “grid defection” impact be bigger for those who stay?
  • 21. Wild Card 5: Empowering consumers (& 3rd parties) with data
  • 23. How should network businesses respond? (possible options) 1. “Defensive” pricing (e.g. raise fixed access charges) 2. Cost reflective pricing (e.g. capacity charges & dynamic peak pricing) • Needs interval/smart meters and customer acceptance 3. Demand management incentives (e.g. support customers to lower their bills) • Needs policy reform to address disincentives.
  • 25. Survey of Perceived Barriers to DM (2011) • Do stakeholders agree these barriers are real? • Which barriers most important? • Do different stakeholder groups see barriers differently? – 800 stakeholders; – 200 replies www.a2se.org.au/images/stories/files/a2se_isf_dm %20barriers%20report%20june%202011.pdf
  • 26. Survey Respondents Category Respondents # Respondents Utilities Energy Utility – Network Energy Utility – Retailer Energy Utility – Generator 29 5 1 Government Government Agency – Federal Government Agency – State Government Agency – Local 2 20 8 End User Energy Consumer – Commercial Energy Consumer – Industrial 12 2 DM Provider Demand Management Provider Demand Management Consultancy Energy Supply Consultancy 8 17 14 Other Environmental organisation Consumer organisation Industry organisation Regulator Research Institution Other 16 8 3 2 26 28 *
  • 28. Stakeholder Type: Level of Agreement Top 10 Barriers to DE
  • 29. How do we build a Demand Management market that maximises benefits to customers, while protecting network businesses (and facilitating carbon emission reduction)?
  • 30. Elements of an effective DM incentive scheme *AER addressing this *AER addressing this *small *AER addressing this Source ISF, Restoring Power: Cutting Bills & Carbon Emissions with Demand Management http://www.aemc.gov.au/getattachment/fa79d4d7-ff1d-4632-b818-45c99bb23ca3/Rule-change-request-supporting-report.aspx
  • 31. 6 KEY ACTIONS FOR NETWORK DM 1. AEMC to change National Electricity Rules to remove actual and perceived barriers to DM. 2. AER to establish an effective DM Incentive Scheme (DMIS) to drive DM wherever it will reduce costs to consumers. 3. Set collaborative DM targets with distribution network businesses. 4. Ensure transparent DM reporting by network businesses. 5. Provide effective DM performance incentives to network businesses. 6. Intensive customer engagement (incl. via intermediaries) via pricing, incentives, facilitation and information • Ring-fencing barriers?
  • 32. Precedent #1: Californian DSM Incentive Scheme • Incentive/Penalty Mechanism – Utility ratepayers and shareholders “share the savings” from EE programs. • Financial rewards balanced by penalties for poor performance, tied to Commission-adopted kW, kWh and therm savings goals. Source: Dian Grueneich, California Public Utilities Commission, 2007
  • 33. Precedent #2: Queensland Energy Conservation & Demand Management Program > In 2009/10, Qld Govt allocated $47 million for demonstration projects > In 2010, Energex and Ergon sought and were allocated ~$220 million for Demand Management programs from the Australian Energy Regulator > Energex and Ergon now have extensive plans, teams, budgets and targets in place to reduce demand growth and support DE. 33
  • 34. © Institute for Sustainable Futures, UTS 34 http://www.energex.com.au/network/network_prices/pdf/Energy%20Conservation%20&%20Demand%20Management.pdf
  • 35. Informing the market: Network Opportunity Maps Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 36. Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 37. Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 38. 2010 Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 39. 2011 Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 40. 2012 Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 41. 2013 Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 42. 2014 Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 43. 2015
  • 44. Summer Peak Day- 9am Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 45. Summer Peak Day- 1pm Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 46. Summer Peak Day- 4pm Dynamic Avoidable Network Cost Evaluation (DANCE) Model http://cfsites1.uts.edu.au/isf/news-events/newsarchive-detail.cfm?ItemId=31169
  • 47.  Price reform (and metering). -incl. AEMC Distribution Network Pricing Arrangements draft rule change.  Actively engage with customers to cut their bills via DM. (Demand side engagement strategy)  DM planning and budgets in Network Pricing Determination.  Seek an effective DMIS from AER.  DMIS Rule Change an opportunity to progress network DM.  ARENA/ISF network opportunity mapping re DM  Just do it! Network DM Next Steps?
  • 48. 1. What business are you in? 2. What business do you want to be in? 3. What business are you expected to be in? These are key questions not just for NSPs, but regulators and policy makers too.
  • 49. Donald Horne, The Lucky County, 1964 “Australia is a lucky country run mainly by second-rate people who share its luck.” …but also: “The saving Australian characteristic … is the ability to change course quickly, even at the last moment ... This can happen almost without discussion or dramatization of the change… Australians … hate discussion and ‘theory’ but they can step quickly out of the way if events are about to smack them in the face.”
  • 50. Or when it comes to wrestling marshmallow, listen to the experts: Cross the streams! http://www.youtube.com/watch?v=9wrEEd1ajz4
  • 51. Thank you Chris Dunstan E: [email protected], T: 02 9514 4882

Editor's Notes

  • #5: What am I talking about when referring to Decentralised or Distributed Energy? 3 key elements: EE PLM DG or Embedded generation
  • #12: 2014 National Electricity Forecasting Report (NEFR) (June 2016)
  • #13: http://www.aemo.com.au/Electricity/Planning/Forecasting/National-Electricity-Forecasting-Report
  • #16: http://pv-map.apvi.org.au/analyses
  • #17: Photo: http://cambia.pe/?p=6240
  • #19: Holden Volt Electric range: 87 km
  • #23: https://nest.com/thermostat/inside-and-out/#nest-sense $3.2 Billion Jan 2014
  • #34: http://www.climatechange.qld.gov.au/pdf/factsheets/1energy-b1.pdf
  • #35: http://www.energex.com.au/network/network_prices/pdf/Energy%20Conservation%20&%20Demand%20Management.pdf
  • #51: http://www.youtube.com/watch?v=9wrEEd1ajz4