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METHODOLOGICAL EXTENSION OF GEOPOLITICAL SUPPLY RISK INDICATOR UNDER LCSA FRAMEWORK:
APPLICATION TO THE PETROCHEMICAL SUPPLY CHAIN OF PAN-BASED CARBON FIBERS
1
Guido Sonnemann
Professor, University of Bordeaux
Head, The Life Cycle Group CyViInstitute of Molecular Sciences ISM
2
Outline
Motivation : LCSA and SSCM for Criticality
Geopolitical related supply risk
Methodological extension
Case Study: Petrochemical SC for Carbon Fibers
Results
Summary
Authors: C. Helbig1 , E.D. Gemechu2, S.B. Young³,A. Thorenz1, A. Tuma1,
G. Sonnemann2
1: Resource Lab, University of Augsburg, Germany2: ISM-CyVi, University of Bordeaux, France3: SEED, University of Waterloo, Canada
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The concept of criticality
Increased resource
demand
Need of special
materials for clean
technologies
Price fluctuation
Supply security issue
↓
Criticality
Graedel et al., 2012
Motivation: LCSA and SSCM for Criticality
Geological,
Technological,
Economic
Considerations
Social & Regulatory
Considerations
Geopolitical
Considerations
Importance
Substitutability
Susceptibility
Damage to Human
Health
Damage to Ecosystem
4
Criticality Assessment
Importance
Susceptibility
Geopolitically
Related Availability
Geological Supply
Risk Implications
Substitution
Vulnerability to
Supply Restriction
Environmental
Dimension
Damage to
Human Health
Damage to
Ecosystem Quality
Inventory Midpoints Endpoints Criticality
Economic
DimensionGeopolitical Supply
Risk Implications
Social Implications Social Circumstances
Environmental
Implications
(multiple midpoints)
Geological Resource
Depletion
LCI
LCSA
Social
Dimension
Gemechu et al., 2015Sonnemann et al., 2015
Motivation: LCSA and SSCM for Criticality
Framework
5
Gemechu et al., 2015
Geopolitical related supply risk
• Sk is the share of country k in the global production
(mining or refining) of the commodity c.
• gk is the political instability indicator of country k.
• fi,k is the import share of country k in the supply-
chain of country i.
Integrating geopolitical supply risk in LSCA
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Requirements towards Geopolitical Supply Risks Indicator
Market concentration (Herfindahl-Hirschman-Index of production)
Trading partners (import shares)
Political stability of partner countries (Worldwide Governance Indicators)
Domestic production as a “safe harbor”
Single supply level Geopolitical Supply Risk factor
𝐺𝑃𝑆𝑅𝑐 =
𝑖
𝑝𝑖2
σ𝑗 𝑝𝑗2 ∗
𝑖
𝑔𝑖 ∗𝑓𝑖𝑐
σ𝑗 𝑓𝑗𝑐 + 𝑝𝑐
Methodological extension
Domestic
production
Trade
patternsPolitical
instability
(0 to 1 scale)
Production
concentration
Helbig et al. (2016)
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Methodological extension
Multilevel Supply Chain
B
B
B
B
A
A
A
A
P
1st Level
Geopolitical Supply Risk
from intermediate A
in country FRA
FRA
GER
USA
CHN
Reactant Intermediate Product
Domestic
Helbig et al. (2016)
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Methodological extension
Multilevel Supply Chain
B
B
B
B
A
A
A
A
P
2nd level
Geopolitical Supply Risk
from reactant B
≙ aggregation of 1st level
Geopolitical Supply Risk
in countries FRA+GER+USA+CHN
1st level
Geopolitical Supply Risk
from intermediate A
in country FRA
FRA
GER
USA
CHN
Reactant Intermediate Product
Domestic
Helbig et al. (2016)
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Case Study: Petrochemical SC for Carbon Fibers
Carbon Fibers as future technology materials
high tensile strength, low density, high moduli
aerospace, automotive, industrial, sporting goods
production doubled within a decade (16.6 Mt in 1999 to 34.2 Mt in 2010)
Main supply chain is polyacrylonitrile (PAN) based
Petroleum (crude)
Propene AcrylonitrilePAN
(Precursor)Carbon Fiber
Refinery processes
(Steam cracking,
Propane)SOHIO-Process
(+NH3)
Radical polymerization
Prestabilization,
Carbonization,
Graphitization
Expert talks (2015), Park (2015), Buchmeiser et al. (2012)
System Border
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Case Study: Petrochemical SC for Carbon Fibers
Data Country-specific
production
Political Stability Trade Data
Petroleum (crude) BP statistical
handbook
WGI-PV UN comtrade
HS 27 09 00
Propene (C3H6) company reports WGI-PV UN comtrade
HS 29 01 22
Acrylonitrile (AN) PCI report WGI-PV UN comtrade
HS 29 26 10
Petroleum (crude)
Propene
(C3H6)
Acrylonitrile
(AN)
Polyacrylonitrile(Precursor)
Oil imports C3H6 imports AN imports
Helbig et al. (2016)
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Results
Country concentrations for
production
Petroleum HHI 630
Propene HHI 999
Acrylonitrile HHI 1321
Wide range of countries covered
54 countries with all six risk
values
Highest single score Nigeria AN
(0.135)
Lowest scores for full domestic
production (0)
Low GTR High GTRHelbig et al. (2016)
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Results
Peru’s case
AN imports mainly
from USA
high GTR for AN
USA is a major
propene producing
very low GTR
for C3H6-AN
USA both produces
and imports
crude petroleum,
some of that from
instable countries
slightly higher GTR
for Petroleum-C3H6-ANAcrylonitrilePropene
Peru
Mexico 9%
Canada 2%
USA 98%
USA 91%
Brazil 77%
RoAsia 13%
PANPetroleum
USA 57%
Nigeria 8%
Others Others
Brazil 85%
Canada 12%
Saudi Arabia
8%
Others
Helbig et al. (2016)
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Results
Japan’s case
Strong chemical
industry provides
mainly domestic
production for
propene and
acrylonitrile
very low GPSR for
AN and C3H6-AN
However, Japan relies
on oil imports from
the Middle East states
high GPSR for
Petroleum-C3H6-AN
Helbig et al. (2016)
AcrylonitrilePropene
Japan
South Korea
1%
Japan
100%
Japan
99%
PANPetroleum
Saudi Arabia
32%
United Arab
Emirates 22%
Qatar 8%
Others
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Summary
Geopolitical Supply Risks as Sustainability Indicator for LCSA
Method including three data sets
National production, trade patterns, political stability
PAN supply chain (precursor material for carbon fibers)
Petroleum Propene Acrylonitrile
Different risk patterns for resource-rich or industrialized countries
Identify risk mitigation strategies for countries and companies
Results to be compared with environmental LCA results
Characterization factor for LCIA to be developed
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Related publications
Based on:
Gemechu ED, Helbig C, Sonnemann G, Thorenz A and Tuma A, Journal
of Industrial Ecology (2016). 20: 154-165
Gemechu, ED, Sonnemann G, Young SB, Int J Life Cycle Assess (2015).
doi:10.1007/s11367-015-0917-4
Sonnemann G, Gemechu ED, Adibi N, De Bruille V and Bulle C, Journal
of Cleaner Production (2015). 94: 20-34
Journal of Cleaner Production
Volume 137, 20 November 2016, Pages 1170–1178
Extending the geopolitical supply risk indicator: Application of
life cycle sustainability assessment to the petrochemical supply
chain of polyacrylonitrile-based carbon fibers
Christoph Helbiga, Eskinder D. Gemechub, Baptiste Pillainb, Steven B. Youngc, Andrea Thorenza, Axel
Tumaa, Guido Sonnemannb, ,
a Resource Lab, University of Augsburg, Universitaetsstr. 16, 86159, Augsburg, Germanyb The Life Cycle Group, Institute of Molecular Sciences, Université de Bordeaux, Bordeaux, Francec School of Environment, Enterprise and Development (SEED), University of Waterloo, Waterloo, Canada
Received 7 April 2016, Revised 6 July 2016, Accepted 31 July 2016, Available online 2 August 2016
Extending the geopolitical supply risk indicator: Application of life... http://www.sciencedirect.com/science/article/pii/S0959652616311192
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Guido [email protected]
The Life Cycle Group CyViInstitute of Molecular Sciences ISM
University of Bordeaux – UMR 5255 CNRS351 Cours de la libération – Bât A12
33405 TALENCE cedex – France
www.ism.u-bordeaux.fr
Thank you for your attention!