LCA for Hydrogen Breakout Session Summary - PowerPoint PPT Presentation

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LCA for Hydrogen Breakout Session Summary

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losers easier to ID than winners. Tests sensitivity to assumptions. LCA Methodological Issues Crucial to a ... Periodic LCA model competition 'bake-off' ... – PowerPoint PPT presentation

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Title: LCA for Hydrogen Breakout Session Summary


1
LCA for Hydrogen Breakout Session Summary
2
Comparison of Five Recent WTW Studies GHG
Emission Changes
3
Purpose of LCA for NSF
  • Provide holistic strategic guidance
  • Identify R D needs
  • However, not necessarily choosing outcomes
  • losers easier to ID than winners
  • Tests sensitivity to assumptions

4
LCA Methodological Issues Crucial to a Possible
Hydrogen Economy
  • Greater specificity of LCA is needed
  • LD / MD / HD
  • US / China / India / Europe
  • Greater Transparency is needed (trust verify)
  • Models
  • Data sources
  • Results
  • Uncertainties need to be quantified / identified
  • Vary by technology experience base
  • methodologies to address uncertainties
  • e.g. Monte Carlo vs sensitivity analysis
  • Protocols are needed for accounting, reporting,
    attribution, labeling and cap trade transparency

5
Questions regarding the scope of LCA
  • Is more diversity needed in technology and energy
    pathways? yes
  • How do we address tradeoffs between different
    pathways?
  • Nuclear waste / proliferation vs GHG
  • Ambient toxic air quality
  • Resource depletion
  • How do we address resource constraints?
  • Do we include impacts?
  • How do we measure impacts?
  • How can we incorporate
  • Long-term dynamic changes, beyond static
    assumptions
  • Distributive effects
  • Multimedia

6
Some Other Observations
  • These are complex systems dont be too
    prescriptive
  • Social context
  • Other methods to stimulate out-of-the-box
    thinking
  • Recycling and industrial system issues are
    important
  • e.g., platinum reuse, remanufacturing options,
    etc

7
NSF Could Sponsor or Support
  • LCA improvement (see previous slides)
  • Inter-comparison of models
  • Periodic LCA model competition bake-off?
  • Validation / identification of critical R D
    issues priorities
  • Synergies, breakthrough dependencies, etc.
  • Benchmarking of evolutionary technology
  • Interagency externality valuation research
  • LCA to identify key drivers / constraints to help
    identify research priorities
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