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Analysis of Renewable Costs:
The Need for Better Data
Michael Taylor
Senior Analyst
GSE, Roma
12 December 2014
2
The Voice, Advisory Resource and Knowledge Hub for 170 Governments
The International Renewable Energy Agency
Renewable energy can:
 Meet our goals for secure, reliable and sustainable energy
 Provide electricity access to 1.3 billion people
 Promote economic development
 At an affordable cost
3
The World of Energy is Transforming
4
Global Investment in Renewable Energy
BUT
DEPLOYMENT IS NOT ON
RENEWABLES STILL FACE
TRACK TO MEET OUR
TOO MANY BARRIERS!
SHARED GOALS
6
Absence of up-to-date cost
data is a problem
Little cost data systematically collected
Data in public domain is patchy
Comparability of data not clear
Uncertainty over cost evolution
No clear, authorative voice on costs!
7
Poor cost data is a risk
Without accurate up-to-date cost data,
how do you:
Determine role of RE in energy mix
Set support policies at efficient levels
Uncertainty creates risks, reduces ambition
Communicate benefits of RE
IRENA IS RAMPING UP ITS
WORK ON COSTS
• Decision making is often based on:
• outdated numbers
• opinion, not fact based
Cost Analysis:
Rationale and goals
• IRENA to become THE source for cost data
• Goals:
• Assist government decision-making, allow
more ambitious policies
• Fill a significant information gap
10
What questions to answer?
Comparing LCOE is not enough
Decomposition of LCOE is required
What is competitive varies
Need to understand market maturity
Can require very detailed data
11
IRENA’s cost data collection
IRENA now has a world class database
Significant, ground breaking analysis
How do we advance the work?
But limited resources
13
Rationale and goals
Low hanging fruit is gone
Shift the emphasis
Engage with industry
Deepen the analysis
Collect more, better data
Member countries
Private sector
members
Observers
14
Alliance structure
How do we shift to more systematic
data collection?
15
• Should cost data have same status as basic statistics?
• What is the framework to collect the data? Who should
collect the data?
• Who are the local stakeholders that need to be onboard?
• And so on.....
Many different options
16
The Italian model
Data from existing policies
Systematic review, ad-hoc data
Open/crowd-sourced data
No one “right” solution, a toolkit
Benefits of systematic collection
17
Reduced uncertainty
Powerful communications messages
Avoidance of costly mis-steps
More efficient and timely policy settings
More efficient, larger markets
Co-benefits
18
Cost data can inform:
Scenario analysis
Help frame the policy debate
Roadmaps
Debunk myths
Where to now?
www.irena.org/costs

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IRENA - Analysis of Renewable Costs: The Need for Better Data

  • 1. Analysis of Renewable Costs: The Need for Better Data Michael Taylor Senior Analyst GSE, Roma 12 December 2014
  • 2. 2 The Voice, Advisory Resource and Knowledge Hub for 170 Governments The International Renewable Energy Agency Renewable energy can:  Meet our goals for secure, reliable and sustainable energy  Provide electricity access to 1.3 billion people  Promote economic development  At an affordable cost
  • 3. 3 The World of Energy is Transforming
  • 4. 4 Global Investment in Renewable Energy
  • 5. BUT DEPLOYMENT IS NOT ON RENEWABLES STILL FACE TRACK TO MEET OUR TOO MANY BARRIERS! SHARED GOALS
  • 6. 6 Absence of up-to-date cost data is a problem Little cost data systematically collected Data in public domain is patchy Comparability of data not clear Uncertainty over cost evolution No clear, authorative voice on costs!
  • 7. 7 Poor cost data is a risk Without accurate up-to-date cost data, how do you: Determine role of RE in energy mix Set support policies at efficient levels Uncertainty creates risks, reduces ambition Communicate benefits of RE
  • 8. IRENA IS RAMPING UP ITS WORK ON COSTS
  • 9. • Decision making is often based on: • outdated numbers • opinion, not fact based Cost Analysis: Rationale and goals • IRENA to become THE source for cost data • Goals: • Assist government decision-making, allow more ambitious policies • Fill a significant information gap
  • 10. 10 What questions to answer? Comparing LCOE is not enough Decomposition of LCOE is required What is competitive varies Need to understand market maturity Can require very detailed data
  • 11. 11 IRENA’s cost data collection IRENA now has a world class database Significant, ground breaking analysis How do we advance the work? But limited resources
  • 12.
  • 13. 13 Rationale and goals Low hanging fruit is gone Shift the emphasis Engage with industry Deepen the analysis Collect more, better data
  • 15. How do we shift to more systematic data collection? 15 • Should cost data have same status as basic statistics? • What is the framework to collect the data? Who should collect the data? • Who are the local stakeholders that need to be onboard? • And so on.....
  • 16. Many different options 16 The Italian model Data from existing policies Systematic review, ad-hoc data Open/crowd-sourced data No one “right” solution, a toolkit
  • 17. Benefits of systematic collection 17 Reduced uncertainty Powerful communications messages Avoidance of costly mis-steps More efficient and timely policy settings More efficient, larger markets
  • 18. Co-benefits 18 Cost data can inform: Scenario analysis Help frame the policy debate Roadmaps Debunk myths