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LCA and Input-Output Analysis:
               GDI Experience
                                     Christopher Weber
        Asst. Research Professor, Green Design Institute
         Carnegie Mellon University, Pittsburgh, PA USA
Outline
   Why Life Cycle?
   Driving feature: Greenhouse Gas Assessments
   Types of Life Cycle Assessment: strengths and weaknesses
       Process LCA
       Input-Output Analysis (IO-LCA)
       examples of different types of assessments from our lab
   General thoughts on sustainability accounting for biofuels
   Summary
LCA in Decision-making: Why and why not?
       Recent interest in including life cycle info in policy and
        decision-making
       LCA has much to offer for policy
           Comparative assessments can often only be done reasonably at
            life cycle level (ex: corn ethanol)
           Supply chains are important for impacts of policy (ie,
            implications of carbon pricing)
       However . . . LCA is complicated!
           To compare between products, completeness, specificity, and
            comparability all very important
           Uncertainty and variability—how to deal?


    3
An example of the problem
   Not including indirect land use change!




        Farrell et al (2006) in Science
Policies involving Carbon Footprinting
   US and EU considering border tariffs on embodied CO2
    as protection for heavy industry
   Low Carbon Fuel Standard (California) and Renewable
    Fuels Standard (US, EISA 2007)
       Both contain standards written in life cycle terms, controversial
       Indirect Land Use Change (iLUC) particularly controversial
   Carbon labeling taking hold in several markets
       Led by large retailers (W-M, Tesco) for consumer products in
        US and UK
       Japan, Germany, Sweden, California have all considered
        national/state policies
   All assume a single answer, no uncertainty/variability
The Big Driver: Greenhouse Gas Accounting
aka carbon footprinting

       Geographical
                                                   Project Accounting
  Inventories by country
                                                  (CDM, WRI/WBCSD)
       (UNFCCC)




                           Global GHG Emissions




  Emissions by product
                                                  Emissions by company
        (ISO, BSI,
                                                    (WRI/WBCSD)
    WRI/WBCSD)
Current Happenings in Carbon Footprinting

   New and Developing standards work
       PAS 2050—British Standards and Carbon Trust UK
       ISO 14025 series—standards for type III environmental
        declarations
       WRI/WBCSD developing product and supply chain standards
        (GDI highly involved)
   Carbon Disclosure Project, Climate Registry, and
    voluntary markets continue to grow
   EU ETS trading strong and current debates about phase
    III goals (20% RPS, 20% CO2 reduction by 2020)
Product Accounting
   LOTS of people working on this
       ISO 14044 series for LCA (more than just GHG)
       Carbon Trust/BSI: PAS 2050
       ISO 14025: Environmental Product Declarations
       Coming ISO Standard on product accounting (2011)
       Now WRI/WBCSD GHG Protocol writing one
       ALL in addition to policy bodies (CARB, EPA, govts)
   Overall, new standards look similar to ISO 14044 but
    more specific for GHGs
Product Accounting Issues
   System Boundary selection—use of PLCA vs. matrix
    PCLA vs. HLCA
   Capital equipment accounting
   Allocation of co-products: attributional vs. consequential
   End of Life accounting—esp recycling
   Land Use Change—direct vs. indirect
   Uncertainty and Variability analysis—require? How?
   Primary vs. secondary data requirements
   Geographic and Temporal averaging
Types of LCAs: Strengths and
Weaknesses in GDI’s experience
Types of Life Cycle Assessments
   What is purpose of Analysis?
       Tool use should depend on purpose of analysis
       LCA in policy, internal corporate use, public reporting, etc. all
        require different levels of precision
       In any LCA, balance between primary data, secondary data, and
        different levels of data quality
   General Classes of Analyses
       Process LCA—ISO 14044, PAS 2050, etc.
       Input-output analysis—economic tool developed in 1950’s for
        top-down economic modeling
       Hybrid LCA—Combination of strengths of both approaches
Advantages of Process vs. IO
   Conventional PLCA:
       Process and product specific
       Detailed improvement and scenario analysis
       Analysis of existing and future products
       Easy to link to functional unit


   IOA
       Economy-wide impacts (complete system boundary)
       Publicly available data, reproducible results
       Data available on every commodity
Disadvantages of Process vs. IO
   Conventional PLCA:
       Subjective System Boundary
       Can take substantial time and money
       Proprietary data issues
       Substantial uncertainty in many numbers


   IOA
       Aggregation
       Price uncertainty (linking to functional unit difficult)
       Data time issues (5 years to obtain typical)
       Uncertainty in data
In summary. . .
   Process LCA
       Advantages: Specific process-level data, functional units easy
       Disadvantages: Arbitrary System Boundaries, Proprietary data,
        can take substantial time and money
       Typical uses: product footprints, phys/chem process analysis,
        policy and disclosure-level comparisons
   Input-Output Analysis
       Advantages: Fast, Complete, can model product and social
        impacts
       Disadvantages: Aggregation, Upfront learning, Functional units
        difficult
       Typical uses: large-scale analyses of many products/services,
        sustainable consumption research, structural economics
Current Hierarchy: GHGP Data Quality Tree
Examples and Experience in PLCA
                        and IOA
Examples: GDI Process LCA

CO2                                           SO2




                                              Local
NOx                                           CO2 –
                                              US CO2




          Electricity uncertainty in the US
Examples: GDI Input-output analysis
   Total consumption by US households
              Education

                Health

       Communications

     Clothing/Footwear

     Mis Goods/Services
                                                                                        DirectCO2
            Rec/Culture                                                                 CO2

                Utilities                                                               CH4
                                                                                        N2O
     Furnish,Equip,Maint
                                                                                        HFCs
                Housing

       PrivateTransport

        AlcBev,Tobacco

          Food/NalcBev

                            0,0   1,0   2,0   3,0     4,0      5,0    6,0   7,0   8,0
                                                    ton CO2e/cap-yr
Examples: GDI Input-output analysis
   Embodied CO2 in global trade: Annex B vs. non-B
Examples: GDI Input-output analysis
   Production and Consumption-based US Land use
Examples: GDI Hybrid LCA
LCA and IOA in biofuel sustainability
assessment

   Process LCA has the specificity necessary to analyze:
       Different production pathways
       Different feedstocks
   IOA still may have something to offer
       Land use—huge issue in LCA/IOA today
       Socioeconomic impacts:
           economic production related to infrastructure investment and policy
            decisions
           Job creation
   Both methods have strengths to exploit for sustainability
    analysis
Questions

   Contact: clweber@cmu.edu

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LCA and Input-Output Analysis: GDI Experience

  • 1. LCA and Input-Output Analysis: GDI Experience Christopher Weber Asst. Research Professor, Green Design Institute Carnegie Mellon University, Pittsburgh, PA USA
  • 2. Outline  Why Life Cycle?  Driving feature: Greenhouse Gas Assessments  Types of Life Cycle Assessment: strengths and weaknesses  Process LCA  Input-Output Analysis (IO-LCA)  examples of different types of assessments from our lab  General thoughts on sustainability accounting for biofuels  Summary
  • 3. LCA in Decision-making: Why and why not?  Recent interest in including life cycle info in policy and decision-making  LCA has much to offer for policy  Comparative assessments can often only be done reasonably at life cycle level (ex: corn ethanol)  Supply chains are important for impacts of policy (ie, implications of carbon pricing)  However . . . LCA is complicated!  To compare between products, completeness, specificity, and comparability all very important  Uncertainty and variability—how to deal? 3
  • 4. An example of the problem Not including indirect land use change! Farrell et al (2006) in Science
  • 5. Policies involving Carbon Footprinting  US and EU considering border tariffs on embodied CO2 as protection for heavy industry  Low Carbon Fuel Standard (California) and Renewable Fuels Standard (US, EISA 2007)  Both contain standards written in life cycle terms, controversial  Indirect Land Use Change (iLUC) particularly controversial  Carbon labeling taking hold in several markets  Led by large retailers (W-M, Tesco) for consumer products in US and UK  Japan, Germany, Sweden, California have all considered national/state policies  All assume a single answer, no uncertainty/variability
  • 6. The Big Driver: Greenhouse Gas Accounting aka carbon footprinting Geographical Project Accounting Inventories by country (CDM, WRI/WBCSD) (UNFCCC) Global GHG Emissions Emissions by product Emissions by company (ISO, BSI, (WRI/WBCSD) WRI/WBCSD)
  • 7. Current Happenings in Carbon Footprinting  New and Developing standards work  PAS 2050—British Standards and Carbon Trust UK  ISO 14025 series—standards for type III environmental declarations  WRI/WBCSD developing product and supply chain standards (GDI highly involved)  Carbon Disclosure Project, Climate Registry, and voluntary markets continue to grow  EU ETS trading strong and current debates about phase III goals (20% RPS, 20% CO2 reduction by 2020)
  • 8. Product Accounting  LOTS of people working on this  ISO 14044 series for LCA (more than just GHG)  Carbon Trust/BSI: PAS 2050  ISO 14025: Environmental Product Declarations  Coming ISO Standard on product accounting (2011)  Now WRI/WBCSD GHG Protocol writing one  ALL in addition to policy bodies (CARB, EPA, govts)  Overall, new standards look similar to ISO 14044 but more specific for GHGs
  • 9. Product Accounting Issues  System Boundary selection—use of PLCA vs. matrix PCLA vs. HLCA  Capital equipment accounting  Allocation of co-products: attributional vs. consequential  End of Life accounting—esp recycling  Land Use Change—direct vs. indirect  Uncertainty and Variability analysis—require? How?  Primary vs. secondary data requirements  Geographic and Temporal averaging
  • 10. Types of LCAs: Strengths and Weaknesses in GDI’s experience
  • 11. Types of Life Cycle Assessments  What is purpose of Analysis?  Tool use should depend on purpose of analysis  LCA in policy, internal corporate use, public reporting, etc. all require different levels of precision  In any LCA, balance between primary data, secondary data, and different levels of data quality  General Classes of Analyses  Process LCA—ISO 14044, PAS 2050, etc.  Input-output analysis—economic tool developed in 1950’s for top-down economic modeling  Hybrid LCA—Combination of strengths of both approaches
  • 12. Advantages of Process vs. IO  Conventional PLCA:  Process and product specific  Detailed improvement and scenario analysis  Analysis of existing and future products  Easy to link to functional unit  IOA  Economy-wide impacts (complete system boundary)  Publicly available data, reproducible results  Data available on every commodity
  • 13. Disadvantages of Process vs. IO  Conventional PLCA:  Subjective System Boundary  Can take substantial time and money  Proprietary data issues  Substantial uncertainty in many numbers  IOA  Aggregation  Price uncertainty (linking to functional unit difficult)  Data time issues (5 years to obtain typical)  Uncertainty in data
  • 14. In summary. . .  Process LCA  Advantages: Specific process-level data, functional units easy  Disadvantages: Arbitrary System Boundaries, Proprietary data, can take substantial time and money  Typical uses: product footprints, phys/chem process analysis, policy and disclosure-level comparisons  Input-Output Analysis  Advantages: Fast, Complete, can model product and social impacts  Disadvantages: Aggregation, Upfront learning, Functional units difficult  Typical uses: large-scale analyses of many products/services, sustainable consumption research, structural economics
  • 15. Current Hierarchy: GHGP Data Quality Tree
  • 16. Examples and Experience in PLCA and IOA
  • 17. Examples: GDI Process LCA CO2 SO2 Local NOx CO2 – US CO2 Electricity uncertainty in the US
  • 18. Examples: GDI Input-output analysis  Total consumption by US households Education Health Communications Clothing/Footwear Mis Goods/Services DirectCO2 Rec/Culture CO2 Utilities CH4 N2O Furnish,Equip,Maint HFCs Housing PrivateTransport AlcBev,Tobacco Food/NalcBev 0,0 1,0 2,0 3,0 4,0 5,0 6,0 7,0 8,0 ton CO2e/cap-yr
  • 19. Examples: GDI Input-output analysis  Embodied CO2 in global trade: Annex B vs. non-B
  • 20. Examples: GDI Input-output analysis  Production and Consumption-based US Land use
  • 22. LCA and IOA in biofuel sustainability assessment  Process LCA has the specificity necessary to analyze:  Different production pathways  Different feedstocks  IOA still may have something to offer  Land use—huge issue in LCA/IOA today  Socioeconomic impacts:  economic production related to infrastructure investment and policy decisions  Job creation  Both methods have strengths to exploit for sustainability analysis
  • 23. Questions  Contact: clweber@cmu.edu