Presentation of Christopher Weber for the "Workshop Virtual Sugarcane Biorefinery"
Apresentação de Christopher Weber realizada no "Workshop Virtual Sugarcane Biorefinery "
Date / Data : Aug 13 - 14th 2009/ 13 e 14 de agosto de 2009
Place / Local: ABTLus, Campinas, Brazil
Event Website / Website do evento: http://www.bioetanol.org.br/workshop4
The Codex of Business Writing Software for Real-World Solutions 2.pptx
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
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