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Energy Efficiency Workshop: 25 September
Workshop Summary 
The workshop held on 25 September 2014 brought together a range of organisations and experts to explore 
energy efficiency as a possible initiative to form part of the solution for the Powering Sydney’s Future Project. 
Approximately 50 representatives and experts gathered to hear about how energy efficiency could form part 
of the solution and a possible framework for assessing energy efficiency projects. 
Workshop participants included representatives from consumer advocacy groups, academics, government 
representatives, regulators, large energy users, solution providers and other electricity networks. 
Participants were involved in interactive sessions to provide feedback on the energy efficiency initiative and 
the proposed assessment framework.
Agenda 
 Introduction – Greg Garvin, TransGrid 
 Energy efficiency: Recent trends and impacts – 
Craig Tupper, Ausgrid 
 Current policy and political context for energy 
efficiency – Tom Grosskopf 
 Morning Tea 
 Breakout sessions
Introduction 
Greg Garvin, General Manager Strategy & 
Stakeholder Engagement
TransGrid’s network
Powering Sydney’s 
Future Project need 
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PSF Typical max day profile 2006/07 to 2013/14
Key initiatives 
Supply 
Demand 
Population 
growth
Energy Efficiency – Recent Trends and 
Impacts 
TransGrid Powering Sydney’s Future 
Workshop 
September 2014
Overview 
Households are living like it’s the 1970s 
How all customer sectors are savings on their bills 
The Likely Suspects 
What does it mean for peak demand?
Average Annual Household Electricity Use is down 
Source: Ausgrid network billing data and historical records. All volumes uncorrected for weather or day count or type.
And for the Inner Metro Sydney area 
Source: Ausgrid network billing data and historical records. All volumes uncorrected for weather or day count or type.
Residential Usage – Continuous and controlled load supply 
• Both average continuous supply and controlled load usage (primarily hot water) have fallen 
by a similar amount since 2005-06 (21% General & 23% Controlled Load) 
Source: Ausgrid network billing data. All volumes uncorrected for weather or day count or type.
Small Non-Residential Electricity Use (0-160 MWh pa) 
• Electricity consumption at small non-residential sites down 19% from 2007-08 
Source: Ausgrid network billing data and historical records. All volumes uncorrected for weather or day count or type.
Med-Large Non-Residential Electricity Use (>160 MWh pa) 
• Electricity consumption at medium to large non-residential sites supplied at low 
voltage down 13% from 2007-08 
Source: Ausgrid network billing data. All volumes uncorrected for weather or day count or type.
Reduction by local government area 
• The decline in average electricity usage per customer ranges from -11% to -19% 
across the local government areas within the Inner Metro Sydney area 
Source: Ausgrid network billing data.
The likely suspects 
Energy conservation 
• Driven largely by customer response to prices but influenced by 
availability of better information. 
Energy efficiency standards 
• Minimum energy performance standards (MEPS) – more efficient 
appliances in homes and businesses. 
• Improved building standards (BCA) – more efficient buildings. 
Energy efficiency programs 
• Typically Government initiated programs 
• Smaller impact but can be sizeable for selected end uses as it can drive the 
transition to efficient solutions more quickly. (e.g. showerheads, light bulbs, 
solar hot water) 
Embedded Generation 
• About 21 MW of rooftop solar from 8600 homes and businesses 
• At Ausgrid system peak, that is about 7 MW in peak demand reductions
What does peak look like? 
17 
Source: Ausgrid bulk supply point data for 24 Jan to 13 Feb 2011.
Customer contribution to summer peak 
18 
Source: Ausgrid bulk supply point and network billing data for 3 Feb 2011.
Very large non-residential customers 
19 
Source: Ausgrid network billing data for 3 and 10 Feb 2011. NSW pool price from AEMO.
Medium to large non-residential customers 
20 
Source: Ausgrid network billing data for 3 and 10 Feb 2011.
Small non-residential customers 
21 
Source: Ausgrid network billing data for 3 and 10 Feb 2011.
Residential customers 
22 
Source: Ausgrid network billing data for 3 and 10 Feb 2011.
New homes and air conditioners 
23 
Source: Ausgrid network billing data for 3 and 10 Feb 2011.
Average summer day v peak summer day 
24 
• About 80-90% of the change in peak is due to changes in demand from small 
customers
MEPS for air conditioners 
• No shortage of measures in place to increase air conditioner efficiency, but…. 
Source: Impacts of the E3 Program, March 2014 (Part Table 1, page 3, )
Air conditioner Minimum Energy Performance Standards 
• Estimated impact in GWh from higher efficiency standards for air conditioners in Inner 
Metro Sydney area. 
Source: E3 Program data, March 2014 and network billing data.
Does this freight train have a 5th gear? 
• The impact from MEPS is sizeable, but slow in delivering change as 
customers replace equipment at end of life 
• Can we leverage MEPS and bring forward a portion of that change? 
• How can customer takeup be increased cost effectively? 
• Can rating schemes be used to advance savings? 
• Are there other appliances which offer opportunities for reductions?
28 
Questions?
29 
Powering Sydney's 
Future 
Meeting Sydney’s 
electricity demands
30 
The current context 
 Sydney will continue to grow for the next 20 
years. 
 Australia has lost its competitive international 
advantage. 
 A2SE predicts that Australia needs to double its 
energy productivity by 2030.
31
The proof: energy efficiency 
reduces demand 
 Electricity consumption across the National Energy 
Market is declining because of a number of 
factors, including growth in total energy efficiency 
savings 
http://www.aemo.com.au/Electricity/Planning/For 
ecasting/National-Electricity-Forecasting-Report 
32
The proof: energy efficiency 
reduces demand 
 NSW Energy Savings Scheme is a key factor in 
declining future demand 
Ausgrid, 2014, Transitional Regulatory Proposal: for 
1 July 2014 to 30 June 2015, p.25. 
33
The proof: energy efficiency 
reduces demand 
 NSW OEH evaluations show that energy efficiency 
is key to improving energy use in Sydney and 
NSW. 
http://www.environment.nsw.gov.au/energyefficiencyi 
ndustry/evaluation.htm 
34
35
NSW OEH Energy Efficiency 
Programs – key examples 
 NSW Energy Savings Scheme 
 NSW Government Resource Efficiency Policy 
 Environmental Upgrade Agreements 
 National Australian Built Environment Rating 
System (NABERS) 
 Home Power Saving Program 
36
37
38 
Questions
Presentation feedback 
 What did you hear this morning that most concerned 
you 
 What did you hear that you think provides the most 
opportunity for your organisation 
 Was there anything that you will take away to use 
share with your organisation
Morning tea break
Assessing Energy Efficiency Opportunities 
for Demand Management: 
A Proposed Framework 
Powering Sydney’s Future 
Edward Langham 
Research Principal, Institute for Sustainable Futures 
25th September 2014
Key Questions 
1. How can TransGrid assess a diverse 
range of EE opportunities to identify 
those that will yield the greatest network 
benefit at lowest cost? 
2. What process would need to underpin the 
procurement? 
3. What supporting considerations, 
protocols or guidelines are needed?
Presentation Overview 
1. Precedents 
2. Foundations: 
– Quantifying peak demand reduction 
– Calculating costs 
– Comparing measures 
– Calculating benchmark costs of network supply 
3. Challenges: data availability, lead time and 
Measurement and Verification 
4. A proposed process
Precedents of EE for DM Procurement 
‘Non-wires 
solutions’ (BPA) 
‘Geo-targeted 
DSM’ 
(Efficiency 
Vermont) 
‘T&D 
Efficiency 
Program’ 
(Consolidat 
ed Edison) 
‘Texas’s 
Restructuri 
ng Act’ 
(Texas)
Evolution of ISF’s Approach
Quantifying peak demand reduction 
• Linking Annual Energy Savings (MWh/a) and Peak Reduction (MW) 
for a given EE MEASURE… 
• Conservation Load Factor (CLF) 
• CLF will be different for any given constraint time: 
– Summer afternoon 
– Summer Evening 
– Winter Evening
Peak period of interest to Powering 
Sydney’s Future
Quantifying peak demand reduction 
11am 6pm 
Peak time
Quantifying peak demand reduction 
Peak time
Quantifying peak demand reduction 
CLF = 1 
CLF > 1 
Low CLF 
(0.1 – 0.2) 
Even, 24-7 Load 
Reduction 
Poor Peak Match 
Strong Peak 
Match!
Calculating costs 
• EE has an inherent business case based on electricity 
bill savings (volume based with capacity component for 
some commercial/industrial customers) 
• Electricity tariff reforms will change this to some extent 
• Conceptualising procurement of EE for network support…
Calculating costs: An example 
• Refrigeration efficiency retrofit portfolio: 
– Upfront cost $700,000 
– Annual cost: $0 
– Energy reduction 7% or 1,695 MWh/year 
– Measure lifespan: 5-15 years 
– Annual Bill Savings: $190,000 
– Simple payback period: 3.7 years 
• Payback periods of financially attractive EE measures 
strongly concentrate around 3 years.
Calculating costs: An example 
• BUT…Measures can offer network peak reduction and 
hence cost savings to the NSP 
• CLF ~ 0.65 = peak reduction of 300kW 
• At 200/kVA/yr, network support payment = $66,000 p.a. 
for each year of successful deferral. 
– 2 years of deferral = $122,000. 
– Brings costs down to $578,000 = payback period of 3 yrs 
• Proponent could ‘bid in’ at $200/kVA/yr to reduce 
measure payback to 3 yrs to catalyse investment.
Network supply cost benchmark 
• Cost to supply constraint through network 
solutions should be annualised for comparison 
with non-network options in $/kVA/yr. 
• This benchmark is the maximum value NSP 
should be willing to pay for the EE measure
DANCE Model
Comparing diverse measures 
• To compare measures with different: 
– Balance of upfront capital & annual costs 
– Effective lifespans 
• We can “levelise” and “annualise” costs to create 
common units of $/kVA/yr (and c/kWh) 
• Data inputs required: 
IMPACT COSTS 
Peak savings (if known) OR Upfront costs (capital, admin) 
Energy savings (MWh/a) AND 
CLF for relevant peak period 
Annual costs (e.g. maintenance, 
tuning) 
Lifespan of measure
Comparing diverse measures 
Peak Load Reduction (kVA)
Challenge: Lack of consistent data by 
measure 
The Problem 
• Energy saving case studies rarely report peak reductions 
• When costs and peak reductions are recorded: 
– generally no clarity or consistency = difficult to compare 
– Only reported relative to a portfolio of measures, as measures tend to 
be implemented this way. Every case study of efficiency upgrades will 
be a different portfolio of measures. 
The Implication 
• Proponents won’t be able to firmly predict peak impact from their 
unique portfolio of proposed measures 
• TransGrid in early years unlikely to be able to rely on proponent 
estimates.
Challenge: Lack of consistent data by 
measure 
The Proposal 
• Learn by doing: ‘Best estimate of savings’ (CLFs) then ‘implement 
and revise’! 
• Collaborative effort on CLFs required between TransGrid, other 
NSPs, proponents, researchers & practitioners (precedent: 
http://www.energy.ca.gov/deer/) 
• Guarantee agreed $/kVA/yr 
• Only pay for peak savings achieved
Challenge: Lead time 
The Problem 
• Getting insufficient quantity of viable opportunities back 
to enable NSP investment in non-network option. Why? 
– Sector immaturity 
– Insufficient lead time 
– Regulatory barriers 
The Proposal: 
• Invest early to build capacity & confidence 
• ‘Discount’ TransGrid’s willingness-to-pay further out from 
the constraint.
Challenge: M&V of peak savings 
The Problem 
• No defined method currently exists. 
• BUT we already have established methods of 
Measurement and Verification (M&V) for kWh savings: 
– Metered Baseline Methods (MBM) 
– Project Impact AssessmentMethod 
– NABERs baseline method
Challenge: M&V of peak savings 
The Proposal: 
• Establish equivalent accredited M&V 
process to quantify peak savings by 
establishing historical peak baseline 
across affected building portfolio. 
• NB: customers would need to be 
interval metered. 
• May need to consider: 
– Climate adjustment for temp. sensitive 
measures 
– Adjustment for other business 
fluctuations (but the simpler the better)
Other Considerations 
• TransGrid’s risk around reliability of savings: 
– TransGrid could ‘over contract’ assuming some non-delivery 
(e.g. Need 45 MVA? Contract 50 MVA) 
• Double counting: 
– Can only count EE that Ausgrid has not already 
included in its ‘baseline forecast’
A proposed process 
1. TransGrid to collaboratively develop: 
– Agreed CLFs for a range of measures 
– Cost calculation methodology 
– M&V process 
2. TransGrid to calculate $/kVA/yr network cost benchmark and 
call for EOIs 
3. Proponents respond to EOI with estimation of impact (kVA) and 
cost ($/kVA/yr) using published TransGrid CLFs & methodology 
4. TransGrid enters contract with proponent for agreed $/kVA/yr 
value for any peak savings delivered 
5. At end of peak season, proponent verifies demand reduction 
through M&V process 
6. TransGrid approves & pays agreed $/kVA/yr X savings achieved 
7. TransGrid revises published CLFs based on learning outcomes.
Questions? 
Edward Langham 
Research Principal 
edward.langham@uts.edu.au 
(02) 9514-4971
Treat EE as a resource… 
• Where it comes from and who ‘digs it up’ 
shouldn’t matter – as long as it's available 
cheaper than the alternative, invest and 
deliver it.
Framework feedback 
1. What else does TransGrid need to consider in 
designing its framework? What have we missed 
in outlining a process that will work for both 
TransGrid and proponents? 
2. What elements of this draft framework do you see 
as problematic for proponents? (e.g. participation, 
decision making, data collection, etc.) 
3. What strategies do you think could be used to 
overcome these issues, problems or barriers?
Wrap up
Next steps
Thank you 
Stay informed and 
involved through the 
project web page 
www.yoursaytransgrid 
.com.au/psf

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Energy Efficiency Workshop - Powering Sydney

  • 2. Workshop Summary The workshop held on 25 September 2014 brought together a range of organisations and experts to explore energy efficiency as a possible initiative to form part of the solution for the Powering Sydney’s Future Project. Approximately 50 representatives and experts gathered to hear about how energy efficiency could form part of the solution and a possible framework for assessing energy efficiency projects. Workshop participants included representatives from consumer advocacy groups, academics, government representatives, regulators, large energy users, solution providers and other electricity networks. Participants were involved in interactive sessions to provide feedback on the energy efficiency initiative and the proposed assessment framework.
  • 3. Agenda  Introduction – Greg Garvin, TransGrid  Energy efficiency: Recent trends and impacts – Craig Tupper, Ausgrid  Current policy and political context for energy efficiency – Tom Grosskopf  Morning Tea  Breakout sessions
  • 4. Introduction Greg Garvin, General Manager Strategy & Stakeholder Engagement
  • 6. Powering Sydney’s Future Project need 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 0:15 1:15 2:15 3:15 4:15 5:15 6:15 7:15 8:15 9:15 10:15 11:15 12:15 13:15 14:15 15:15 16:15 17:15 18:15 19:15 20:15 21:15 22:15 23:15 PSF Typical max day profile 2006/07 to 2013/14
  • 7. Key initiatives Supply Demand Population growth
  • 8. Energy Efficiency – Recent Trends and Impacts TransGrid Powering Sydney’s Future Workshop September 2014
  • 9. Overview Households are living like it’s the 1970s How all customer sectors are savings on their bills The Likely Suspects What does it mean for peak demand?
  • 10. Average Annual Household Electricity Use is down Source: Ausgrid network billing data and historical records. All volumes uncorrected for weather or day count or type.
  • 11. And for the Inner Metro Sydney area Source: Ausgrid network billing data and historical records. All volumes uncorrected for weather or day count or type.
  • 12. Residential Usage – Continuous and controlled load supply • Both average continuous supply and controlled load usage (primarily hot water) have fallen by a similar amount since 2005-06 (21% General & 23% Controlled Load) Source: Ausgrid network billing data. All volumes uncorrected for weather or day count or type.
  • 13. Small Non-Residential Electricity Use (0-160 MWh pa) • Electricity consumption at small non-residential sites down 19% from 2007-08 Source: Ausgrid network billing data and historical records. All volumes uncorrected for weather or day count or type.
  • 14. Med-Large Non-Residential Electricity Use (>160 MWh pa) • Electricity consumption at medium to large non-residential sites supplied at low voltage down 13% from 2007-08 Source: Ausgrid network billing data. All volumes uncorrected for weather or day count or type.
  • 15. Reduction by local government area • The decline in average electricity usage per customer ranges from -11% to -19% across the local government areas within the Inner Metro Sydney area Source: Ausgrid network billing data.
  • 16. The likely suspects Energy conservation • Driven largely by customer response to prices but influenced by availability of better information. Energy efficiency standards • Minimum energy performance standards (MEPS) – more efficient appliances in homes and businesses. • Improved building standards (BCA) – more efficient buildings. Energy efficiency programs • Typically Government initiated programs • Smaller impact but can be sizeable for selected end uses as it can drive the transition to efficient solutions more quickly. (e.g. showerheads, light bulbs, solar hot water) Embedded Generation • About 21 MW of rooftop solar from 8600 homes and businesses • At Ausgrid system peak, that is about 7 MW in peak demand reductions
  • 17. What does peak look like? 17 Source: Ausgrid bulk supply point data for 24 Jan to 13 Feb 2011.
  • 18. Customer contribution to summer peak 18 Source: Ausgrid bulk supply point and network billing data for 3 Feb 2011.
  • 19. Very large non-residential customers 19 Source: Ausgrid network billing data for 3 and 10 Feb 2011. NSW pool price from AEMO.
  • 20. Medium to large non-residential customers 20 Source: Ausgrid network billing data for 3 and 10 Feb 2011.
  • 21. Small non-residential customers 21 Source: Ausgrid network billing data for 3 and 10 Feb 2011.
  • 22. Residential customers 22 Source: Ausgrid network billing data for 3 and 10 Feb 2011.
  • 23. New homes and air conditioners 23 Source: Ausgrid network billing data for 3 and 10 Feb 2011.
  • 24. Average summer day v peak summer day 24 • About 80-90% of the change in peak is due to changes in demand from small customers
  • 25. MEPS for air conditioners • No shortage of measures in place to increase air conditioner efficiency, but…. Source: Impacts of the E3 Program, March 2014 (Part Table 1, page 3, )
  • 26. Air conditioner Minimum Energy Performance Standards • Estimated impact in GWh from higher efficiency standards for air conditioners in Inner Metro Sydney area. Source: E3 Program data, March 2014 and network billing data.
  • 27. Does this freight train have a 5th gear? • The impact from MEPS is sizeable, but slow in delivering change as customers replace equipment at end of life • Can we leverage MEPS and bring forward a portion of that change? • How can customer takeup be increased cost effectively? • Can rating schemes be used to advance savings? • Are there other appliances which offer opportunities for reductions?
  • 29. 29 Powering Sydney's Future Meeting Sydney’s electricity demands
  • 30. 30 The current context  Sydney will continue to grow for the next 20 years.  Australia has lost its competitive international advantage.  A2SE predicts that Australia needs to double its energy productivity by 2030.
  • 31. 31
  • 32. The proof: energy efficiency reduces demand  Electricity consumption across the National Energy Market is declining because of a number of factors, including growth in total energy efficiency savings http://www.aemo.com.au/Electricity/Planning/For ecasting/National-Electricity-Forecasting-Report 32
  • 33. The proof: energy efficiency reduces demand  NSW Energy Savings Scheme is a key factor in declining future demand Ausgrid, 2014, Transitional Regulatory Proposal: for 1 July 2014 to 30 June 2015, p.25. 33
  • 34. The proof: energy efficiency reduces demand  NSW OEH evaluations show that energy efficiency is key to improving energy use in Sydney and NSW. http://www.environment.nsw.gov.au/energyefficiencyi ndustry/evaluation.htm 34
  • 35. 35
  • 36. NSW OEH Energy Efficiency Programs – key examples  NSW Energy Savings Scheme  NSW Government Resource Efficiency Policy  Environmental Upgrade Agreements  National Australian Built Environment Rating System (NABERS)  Home Power Saving Program 36
  • 37. 37
  • 39. Presentation feedback  What did you hear this morning that most concerned you  What did you hear that you think provides the most opportunity for your organisation  Was there anything that you will take away to use share with your organisation
  • 41. Assessing Energy Efficiency Opportunities for Demand Management: A Proposed Framework Powering Sydney’s Future Edward Langham Research Principal, Institute for Sustainable Futures 25th September 2014
  • 42. Key Questions 1. How can TransGrid assess a diverse range of EE opportunities to identify those that will yield the greatest network benefit at lowest cost? 2. What process would need to underpin the procurement? 3. What supporting considerations, protocols or guidelines are needed?
  • 43. Presentation Overview 1. Precedents 2. Foundations: – Quantifying peak demand reduction – Calculating costs – Comparing measures – Calculating benchmark costs of network supply 3. Challenges: data availability, lead time and Measurement and Verification 4. A proposed process
  • 44. Precedents of EE for DM Procurement ‘Non-wires solutions’ (BPA) ‘Geo-targeted DSM’ (Efficiency Vermont) ‘T&D Efficiency Program’ (Consolidat ed Edison) ‘Texas’s Restructuri ng Act’ (Texas)
  • 46. Quantifying peak demand reduction • Linking Annual Energy Savings (MWh/a) and Peak Reduction (MW) for a given EE MEASURE… • Conservation Load Factor (CLF) • CLF will be different for any given constraint time: – Summer afternoon – Summer Evening – Winter Evening
  • 47. Peak period of interest to Powering Sydney’s Future
  • 48. Quantifying peak demand reduction 11am 6pm Peak time
  • 49. Quantifying peak demand reduction Peak time
  • 50. Quantifying peak demand reduction CLF = 1 CLF > 1 Low CLF (0.1 – 0.2) Even, 24-7 Load Reduction Poor Peak Match Strong Peak Match!
  • 51. Calculating costs • EE has an inherent business case based on electricity bill savings (volume based with capacity component for some commercial/industrial customers) • Electricity tariff reforms will change this to some extent • Conceptualising procurement of EE for network support…
  • 52. Calculating costs: An example • Refrigeration efficiency retrofit portfolio: – Upfront cost $700,000 – Annual cost: $0 – Energy reduction 7% or 1,695 MWh/year – Measure lifespan: 5-15 years – Annual Bill Savings: $190,000 – Simple payback period: 3.7 years • Payback periods of financially attractive EE measures strongly concentrate around 3 years.
  • 53. Calculating costs: An example • BUT…Measures can offer network peak reduction and hence cost savings to the NSP • CLF ~ 0.65 = peak reduction of 300kW • At 200/kVA/yr, network support payment = $66,000 p.a. for each year of successful deferral. – 2 years of deferral = $122,000. – Brings costs down to $578,000 = payback period of 3 yrs • Proponent could ‘bid in’ at $200/kVA/yr to reduce measure payback to 3 yrs to catalyse investment.
  • 54. Network supply cost benchmark • Cost to supply constraint through network solutions should be annualised for comparison with non-network options in $/kVA/yr. • This benchmark is the maximum value NSP should be willing to pay for the EE measure
  • 56. Comparing diverse measures • To compare measures with different: – Balance of upfront capital & annual costs – Effective lifespans • We can “levelise” and “annualise” costs to create common units of $/kVA/yr (and c/kWh) • Data inputs required: IMPACT COSTS Peak savings (if known) OR Upfront costs (capital, admin) Energy savings (MWh/a) AND CLF for relevant peak period Annual costs (e.g. maintenance, tuning) Lifespan of measure
  • 57. Comparing diverse measures Peak Load Reduction (kVA)
  • 58. Challenge: Lack of consistent data by measure The Problem • Energy saving case studies rarely report peak reductions • When costs and peak reductions are recorded: – generally no clarity or consistency = difficult to compare – Only reported relative to a portfolio of measures, as measures tend to be implemented this way. Every case study of efficiency upgrades will be a different portfolio of measures. The Implication • Proponents won’t be able to firmly predict peak impact from their unique portfolio of proposed measures • TransGrid in early years unlikely to be able to rely on proponent estimates.
  • 59. Challenge: Lack of consistent data by measure The Proposal • Learn by doing: ‘Best estimate of savings’ (CLFs) then ‘implement and revise’! • Collaborative effort on CLFs required between TransGrid, other NSPs, proponents, researchers & practitioners (precedent: http://www.energy.ca.gov/deer/) • Guarantee agreed $/kVA/yr • Only pay for peak savings achieved
  • 60. Challenge: Lead time The Problem • Getting insufficient quantity of viable opportunities back to enable NSP investment in non-network option. Why? – Sector immaturity – Insufficient lead time – Regulatory barriers The Proposal: • Invest early to build capacity & confidence • ‘Discount’ TransGrid’s willingness-to-pay further out from the constraint.
  • 61. Challenge: M&V of peak savings The Problem • No defined method currently exists. • BUT we already have established methods of Measurement and Verification (M&V) for kWh savings: – Metered Baseline Methods (MBM) – Project Impact AssessmentMethod – NABERs baseline method
  • 62. Challenge: M&V of peak savings The Proposal: • Establish equivalent accredited M&V process to quantify peak savings by establishing historical peak baseline across affected building portfolio. • NB: customers would need to be interval metered. • May need to consider: – Climate adjustment for temp. sensitive measures – Adjustment for other business fluctuations (but the simpler the better)
  • 63. Other Considerations • TransGrid’s risk around reliability of savings: – TransGrid could ‘over contract’ assuming some non-delivery (e.g. Need 45 MVA? Contract 50 MVA) • Double counting: – Can only count EE that Ausgrid has not already included in its ‘baseline forecast’
  • 64. A proposed process 1. TransGrid to collaboratively develop: – Agreed CLFs for a range of measures – Cost calculation methodology – M&V process 2. TransGrid to calculate $/kVA/yr network cost benchmark and call for EOIs 3. Proponents respond to EOI with estimation of impact (kVA) and cost ($/kVA/yr) using published TransGrid CLFs & methodology 4. TransGrid enters contract with proponent for agreed $/kVA/yr value for any peak savings delivered 5. At end of peak season, proponent verifies demand reduction through M&V process 6. TransGrid approves & pays agreed $/kVA/yr X savings achieved 7. TransGrid revises published CLFs based on learning outcomes.
  • 65. Questions? Edward Langham Research Principal edward.langham@uts.edu.au (02) 9514-4971
  • 66. Treat EE as a resource… • Where it comes from and who ‘digs it up’ shouldn’t matter – as long as it's available cheaper than the alternative, invest and deliver it.
  • 67. Framework feedback 1. What else does TransGrid need to consider in designing its framework? What have we missed in outlining a process that will work for both TransGrid and proponents? 2. What elements of this draft framework do you see as problematic for proponents? (e.g. participation, decision making, data collection, etc.) 3. What strategies do you think could be used to overcome these issues, problems or barriers?
  • 70. Thank you Stay informed and involved through the project web page www.yoursaytransgrid .com.au/psf