IRENA - Analysis of Renewable Costs: The Need for Better Data
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Transcript of IRENA - Analysis of Renewable Costs: The Need for Better Data
Analysis of Renewable Costs:
The Need for Better Data
Michael TaylorSenior Analyst
GSE, Roma
12 December 2014
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The Voice, Advisory Resource and Knowledge Hub for 170 Governments
The International Renewable Energy Agency
Renewable energy c an:
Meet our goals for secure, reliable and sustainable energy
Provide electricity access to 1.3 billion people
Promote economic development
At an affordable cost
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Absence of up-to-date costdata 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!
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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
• 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• outdated numbers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
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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
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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
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Rationale and goals
Low hanging fruit is gone
Shift the emphasis
Engage with industry
Deepen the analysis
Collect more, better data
How do we shift to more systematic data collection?
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• 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
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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
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Reduced uncertainty
Powerful communications messages
Avoidance of costly mis-steps
More efficient and timely policy settings
More efficient, larger markets
Co-benefits
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Cost data can inform:
Scenario analysis
Help frame the policy debate
Roadmaps
Debunk myths