MINNESOTA SUSTAINABILITY
PRACTITIONERS ROUNDTABLE
May 14, 2014
Agenda
11:30 Introductions and lunch
11:40 Welcome from Eliza Clark, Andersen
Corporation
11:50 LCA Overview, Dr. Tim Smith, NorthStar
Initiative for Sustainable Enterprise
12:30 Group discussion on LCA facilitated by Jill
Kolling, Paydirt
1:20 Upcoming events; group announcements
1:30 Optional tour
2:00 Adjourn
Mission
¨  To advance sustainable practices within large
organizations in Minnesota.
Objectives
¨  Facilitate candid dialogue centered
on advanced sustainability topics
¨  Provide a forum for sharing
resources and best practices
¨  Identify opportunities for new
solutions or collaborations
¨  Build connections between
sustainability practitioners
Format and Boundaries
¨  Quarterly event for sharing success stories and
facilitating large group discussions in a confidential
setting
¨  Invite-only
¨  One representative per organization; additional
participants dependent on topic
¨  Members should have decision making ability for
sustainability and an enterprise focus
¨  Charter members may preclude competitors from
joining
¨  Members are expected to attend and actively
participate, or send a substitute when needed
2014 Roundtable Dates
¨  February 12 - Target
¨  May 14 – Science Museum of Minnesota
¨  September 17 – U of MN Landscape Arboretum
¨  November 12 - KPMG
Andersen – Science Museum Partnership
¨  Kitty Andersen Youth Science Center (KAYSC):
empowering youth to change the world through
science
¨  Engages over 100 youth annually in grades 7-12 in
out-of-school-time science programming
¨  In 1996, several Andersen Related Foundations made
a combined endowment contribution to KAYSC in Kitty
Andersen’s honor to support general operating funds.
Source: http://www.smm.org/kaysc/supporters
•  75% of
participants
are from low-
income
families
•  60% are girls
•  90% are
youth of color
Science House:
¨ Resource Center for Educators, where Minnesota's science teachers gain
access to the best in hands-on classroom science materials
¨ Designed to operate as a zero-emissions building (ZEB)
¨ Since energy monitoring began in February 2004, Science House has been
producing more energy than it uses on an annual basis
¨ Andersen Corporation contributed windows, doors and Fibrex™ material for
the exterior deck and interior ceiling
Source: http://www.smm.org/sciencehouse/about
Andersen - Science Museum Partnership
Raw	
  Material	
  Extrac.on	
   Intermediate	
  Material	
  
Manufacture	
  
Use	
  
Recycling	
  
End	
  of	
  
Life	
  
Finished	
  Product	
  
Manufacture	
  
Transporta.on	
  &	
  
logis.cs/retail	
  
Andersen’s Lifecycle Approach
9
Andersen’s LCA Experience
¨  Conducted two LCAs in 2010:
¨  Renewal by Andersen Double-Hung
¨  100 Series
¨  Recently purchased GaBi LCA
software
¨  Participating in the development
of the Product Category Rule
(PCR) for windows
¨  Once PCR is approved, we will
have the ability to publish
Environmental Product
Declarations (EPDs)
Renewal by Andersen Double-Hung
environment.umn.edu/nise
Introduc)on	
  to	
  Life	
  Cycle	
  
Assessment	
  
	
  
Timothy	
  M.	
  Smith	
  
Director	
  &	
  Associate	
  Professor	
  
NorthStar	
  Ini.a.ve	
  (NiSE)	
  
Bioproducts	
  &	
  Biosystems	
  Eng.	
  
612-­‐624-­‐2648	
  
.msmith@umn.edu	
  
WHICH IS MORE SUSTAINABLE?
•  most	
  commonly	
  made	
  
from	
  co;on	
  (fossil-­‐fuel-­‐
intensive)	
  
•  co;on	
  growers	
  use	
  more	
  
than	
  10	
  percent	
  of	
  the	
  
world's	
  pes)cides	
  and	
  
nearly	
  25	
  percent	
  of	
  the	
  
world's	
  insec)cides	
  
•  most	
  are	
  woven	
  outside	
  
the	
  U.S.	
  where	
  labor	
  is	
  
less	
  costly	
  
•  Increased	
  fossil	
  fuels	
  in	
  
transporta)on	
  
•  %#*&!,	
  forgot	
  it	
  again…	
  
•  made	
  of	
  polyethylene,	
  a	
  
petroleum-­‐based	
  resource	
  	
  
•  consumes	
  40%	
  less	
  energy	
  to	
  
produce	
  than	
  paper.	
  
•  generates	
  80%	
  less	
  solid	
  
waste	
  than	
  paper	
  bags	
  	
  
•  can	
  take	
  1,000	
  years	
  to	
  
decompose	
  
•  fewer	
  than	
  5%	
  of	
  plas)c	
  
bags	
  are	
  recycled	
  
•  60	
  to	
  80	
  percent	
  of	
  ocean	
  
debris	
  is	
  plas)c	
  -­‐	
  poisoning	
  
or	
  strangling	
  marine	
  life	
  
•  made	
  from	
  a	
  renewable	
  
resource	
  (trees)	
  
•  hold	
  twice	
  the	
  contents	
  of	
  
most	
  plas)c	
  bags	
  
•  takes	
  about	
  a	
  month	
  to	
  
decompose	
  
•  	
  21%	
  of	
  paper	
  bags	
  are	
  
currently	
  recycled	
  
WHAT IS GREEN?
IMPACT CHARACTERIZATION OF THE PRIUS
LIFE CYCLE ASSESSMENT: Quantification of Impacts
LCA BASICS:
WHAT GOES IN MUST COME OUT
LCA BASICS:
WHAT GOES IN MUST COME OUT
energy	
  
cardboard	
  
metal	
  
LCA BASICS:
WHAT GOES IN MUST COME OUT
energy	
  
cardboard	
  
metal	
  
Air	
  
emissions	
  
Solid	
  
Waste	
  
IMPACT
ASSESSMENT
Ecosystem
health
Human health
Resource
depletion
Social health
Oth. releases
Products
Coproducts
Emissions
Effluents
Solid wastes
Mat’ls
Energy
Water
Raw Material Acquisition
(Transportation)
Manufacturing
(Transportation)
Use/Reuse/Maintenance
(Transportation)
Recycle/Waste Management
(Transportation)
LIFE CYCLE ANALYSIS – STEPS IN THE PROCESS
AND APPLICATIONS OF FINDINGS
INVENTORY ANALYSIS
IMPROVEMENT ASSESSMENT
Extend product life Reduce energy consumption
Evaluate substitute materials Improve process efficiencies
Improve distribution Improve collection efficiencies
Enhance use/durability Improve waste management
INITIATION
Purpose and
scope
System
boundaries
Data categories
Review
process
PAPER CLIP
PAPER CLIP LCA RESULTS
IMPACT CHARACTERIZATION
PAPER CLIP GLOBAL WARMING POTENTIAL
US	
  ECONOMY-­‐WIDE	
  WEIGHTED	
  ENVIRONMENTAL	
  
IMPACTS	
  
X XXX X X X
Source: Suh 2011; economymap.org
X X
Input/Output	
  
Ideal	
  
Process	
  
Bo;om	
  Up	
  Hybrid	
   Top	
  Down	
  Hybrid	
  	
  
LCA METHODOLOGIES
OUTSIDE-IN HOTSPOT APPROACH:
An Adaptation of Top Down Hybrid
Identify Hotspots: EE-IO
Compare Indicators:
Parameterized P- LCA
Scenario1Scenario2
GEMI SUPPLY CHAIN
SUSTAINABILITY TOOL
Objec.ve:	
  A	
  simple,	
  scalable,	
  open	
  
and	
  interac.ve	
  tool	
  for	
  
procurement	
  and	
  supply	
  chain	
  
managers	
  to:	
  1)	
  guide	
  priori.es;	
  2)	
  
measure	
  performance	
  of	
  sourcing	
  
strategies.	
  
	
  
Func.onality:	
  	
  
1. Iden.fy	
  CO2	
  and	
  water	
  use	
  
“hotspots”	
  of	
  procurement/
sourcing	
  poraolios.	
  
2. Quan.fy	
  “hotspot”	
  reduc.on	
  of	
  
alterna.ve	
  environmental	
  
acribute	
  scenarios.	
  
3. Simulate	
  procurement	
  strategies	
  
to	
  compare	
  environmental	
  
performance	
  vis-­‐à-­‐vis	
  economic	
  
costs/benefits.	
  
	
  
Impact'
Category'
Source'
Virgin&fiber&
produc/on&
Power&genera/on&
and&supply&
Paper&and&
paperboard&mills&
Paperboard&container&
manufacturing&
End&of&Life&
Global'
Warming'
Poten7al'
EIO:LCA1' **& 42%& 32%& 5%& *&
PE'Americas'and'Five'Winds'Interna7onal.'(2009).'Life%Cycle%Assessment%of%U.S.%
Industry7Average%Corrugated%Product.' A46%& **& 54%& 17%& 22%&
Ross,'S.,'&'Evans,'D.'(2002).'Use'of'Life'Cycle'Assessment'in'Environmental'
Management.'Environmental%Management,'29,'132:142.'
4%***& 83%&
Water'
Deple7on'
EIO:LCA2' **& 30%& 37%& 0.43%& *&
Kirwan,'M.'J.'(2013).'Handbook%of%Paper%and%Paperboard%Packaging%Technology'
(2nd'Edi7on'ed.).'Chichester,'West'Sussex,'United'Kingdom:'Wiley:Blackwell.'
**& **& Blue&water& Blue&water&
Blue&
water&
Hotspots: the life cycle stages and inputs that have CO2 and H2O impacts larger than 10% of the life cycle impacts
1.  Carnegie Mellon University. (2002). Results for paperboard container manufacturing, global warming potential. Retrieved September 9, 2013, from Economic Input-Output Life Cycle Assessment -
Carnegie Mellon University: http://www.eiolca.net/cgi-bin/dft/use.pl
2.  Carnegie Mellon University. (2002). Results for paperboard container manufacturing, water withdrawals. Retrieved September 9, 2013, from Economic Input-Output Life Cycle Assessment - Carnegie
Mellon University: http://www.eiolca.net/cgi-bin/dft/use.pl
* Not included in the EIO-LCA system boundary
** Not found in the source
*** Net impacts offset by carbon sequestration in virgin fiber production
Sustainable Supply Chain Data Summary– Containerboard Packaging
Baseline Assumptions: U.S. and European average industrial practices
Hotspot system boundary
Raw&material&
extrac/on&
Transporta/on& Manufacturing& Distribu/on& Retail& Use& End&of&Life&
Life&Cycle&Stage& Parameter& Dataset& Unit&
Baseline&Inventory&Amount&
Source&Corrugated'
Board'
Paperboard'
Forest'
Produc7on'
(70%'from'SE,'
30%'from'PNW)'
Diesel' US:'Diesel,'combusted'in'industrial'equipment2' m3/m3'
so^wood'
2.57e:3'
USCLCI'2012;'
Kramer'2009'
Gasoline' US:'Gasoline,'combusted'in'equipment2' 2.26e:5'
Seedlings' US:'Seedlings,'at'greenhouse2'
pcs/m3'
so^wood'
5.27'
Nitrogen' US:'Nitrogen'fer7lizer,'produc7on'mix,'at'plant2'
kg/m3'
so^wood'
4.99e:1'
Phosphorus' US:'Phosphorous'fer7lizer,'produc7on'mix,'at'plant2' 8.58e:2'
Lubricants' US:'Dummy_Lubricants,'unspecified,'at'plant2' 3.69e:2'
Carbon'Dioxide' Carbon'dioxide'[Renewable'resources]2' 9.42e2'
Transport' Transport,'combina7on'truck,'avg.'fuel'mix'
Kgkm/m3'
so^wood'
1.2e5'
Manufacturing:'
Container:board'
Conver7ng'plant'
Kra^liner'
Manufacturing'Containerboard'Mill' Kg/kg'nsp'
4.76e:1' 7.22e:1'
PE'2009;'
EPA'2012'
Testliner' 2.56e:1' 3.89e:1'
Wellenstoff' 1.32e:1' 0'
Semi:Chemical' 2.45e:1' 0'
LPG'
US:'liquefied'petroleum'gas,'combusted'in'industrial'
boiler3' m3/kg'nsp'
1.17e:6'
PE'2009'
Natural'Gas' RNA:'Natural'gas,'combusted'in'industrial'equipment3' 2.87e:2'
Water' RER:'Tap'water,'at'user1.5'
kg/kg'nsp'
3.12e:1'
Starch' US:'Starch'(polyglucose)4' 1.18e:2'
Adhesives' US:'Polyvinyl'alcohol'(from'vinyl'acetate)'(PVAL)4' 7.94e:4'
Ink' RER:'Prin7ng'colour,'offset,'47.5%'solvent,'at'plant1' 8.47e:4'
Borax' US:'Sodium'borates,'at'plant1' 3.11e:4'
Sodium'Carbonate' US:'Soda,'powder,'at'plant3' 7.86e:4'
Coa7ngs' RER:'Coa7ng'powder,'at'plant1' 7.05e:4'
Wax' US:'Wax/Paraffins'at'refinery4' 4.74e:3'
Electricity'
(purchased)'
US:'electricity,'medium'voltage,'at'grid1'
MJ/kg'nsp'
4.24e:1'
Diesel' GLO:'diesel,'burned'in'building'machine1' 3.63e:2'
Heavy'fuel'oil'
RER:'Heavy'fuel'oil,'burned'in'industrial'furnace,'1'MW,'
non:modula7ng1'
4.63e:1'
Light'Fuel'Oil' RER:'heat,'light'fuel'oil,'at'industrial'furnace'1'MW1' 2.81e:1'
Landfill'
CH:'disposal,'municipal'solid'waste,'22.9%'water,'to'
sanitary'landfill1'
kg/kg'nsp'
3.73e:3'
Incinera7on'
CH:'disposal,'municipal'solid'waste,'22%'water,'to'
municipal'incinera7on1'
6.23e:5'
Hazardous'Waste'
Incinera7on'
CH:'disposal,'hazardous'waste,'25%'water,'to'
hazardous'waste'incinera7on1'
1.55e:6'
Baseline assumptions: 65% virgin (kraft and semi-chemical fluting), 35% recycled (testliner and wellenstoff),
1: EcoInvent
1.5: Modified EcoInvent (accounts for US electricity production)
2: USLCI
3: USLCI/PE
4: PE
nsp = net saleable product (including folded box and glue)
DOCUMENTATION: Hotspots, Baselines, Scenarios
COMPARING REDUCTION SCENARIOS
2.  Provide	
  quan.ta.ve	
  
“hotspot”	
  reduc.on	
  
indices	
  for	
  environmental	
  
acribute	
  scenarios	
  -­‐	
  
connec.ng	
  market	
  signals	
  
to	
  like	
  cycle	
  assessment-­‐
based	
  informa.on;	
  	
  
Results of “hotspot” reduction potential by attribute
scenarios for cereal and fruit juice categories (UMN 2013)
Recycled'
Paperboard'
(Primary)'
100%'
Plastic'
Cereal'Bag'
(no'box)''
100%'
Bioenergy'
(thermal)'
5%'
10%'
15%'
20%'
25%'
30%'
35%'
0%'
5%'
10%'
15%'
20%'
25%'
Grain'
Farming'
Manufacturing'
Packaging'
Life'Cycle'Stage'Hotspots'
30%'!'
Electrical'
EfJiciency'
30%'!'
Thermal''
EfJiciency'
Recycled'
Paperboard'
(primary)'
40%'
PLA'
cereal'
bag'
Recycled'
Cardboard'
(secondary)'
30%'!'
Thermal'
EfJiciency'
Best'Scenario'
~39%'reduction'
Worst'Scenario'
~7%'addition'
End'of'Life'
PLA'
cereal'
bag'
Baseline''
(no'environmental'
attributes'implemented)'
65%'of'total'
impact'
Total'GHG'Hotspot'Reduction'Potential'
'for'Wheat'Cereal'and'Orange'Juice:''
Best'Scenario'vs.'Worst'Scenario'
~21%'
reduction'
30%'
45%'
50%'
55%'
60%'
65%'
Orange'Farming'
Retail'
(Refrigeration)'
Wheat'Cereal' Orange'Juice'
69%'of'total'
impact'
70%'
75%'
80%'
85%'
90%'
100%'Wind'
electricity'
Organic'
5%'
Refrigerant'
Leakage'
Worst'Scenario'
~12%'reduction'
Best'Scenario'
~91%'reduction'
Precision'
Farming'
30%'!'
energy'
efJiciency'
(electricity)'
5%'
Refrigerant'
Leakage'
50%'Wind'
electricity'
~56%'
reduction'
100%'Wind'
electricity'
Organic'
Cumulative'%'reduction'in'total'
hotspot'impact'contribution'
Cumulative'%'addition'in'total''
hotspot'impact'contribution'
5%#
10%#
15%#
20%#
25%#
30%#
35%#
0%#
5%#
10%#
15%#
20%#
25%#
Grain#
Farming#
Manufacturing#
Packaging#
Cumulative#%#reduction#in#total#
hotspot#impact#contribution#
Life#Cycle#Stage#Hotspots#
40%#
End#of#Life#
Baseline##
(no#environmental#
attributes#implemented)#
Cumulative#%#addition#in#total##
hotspot#impact#contribution#
65%#of#total#
impact#
30%#
45%#
50%#
55%#
60%#
65%#
Orange#Farming#
Retail#
(Refrigeration)#
Wheat#Cereal# Orange#Juice#
69%#of#total#
impact#
70%#
75%#
80%#
85%#
90%#
100%#Wind#
electricity#
Organic#
Best#Scenario#
~91%#reduction#30%#!#
energy#
efViciency#
(electricity)#
5%#
Refrigerant#
Leakage#
GHG	
  
Scenario	
  
Analysis	
  
(Cereal	
  &	
  Fruit	
  Juice)	
  
5%#
10%#
15%#
20%#
25%#
30%#
35%#
0%#
5%#
10%#
15%#
20%#
25%#
Grain#
Farming#
Manufacturing#
Packaging#
Life#Cycle#Stage#Hotspots#
40%#
End#of#Life#
Baseline##
(no#environmental#
attributes#implemented)#
65%#of#total#
impact#
30%#
45%#
50%#
55%#
60%#
65%#
Orange#Farming#
Retail#
(Refrigeration)#
Wheat#Cereal# Orange#Juice#
69%#of#total#
impact#
70%#
75%#
80%#
85%#
90%#
100%#Wind#
electricity#
Organic#
5%#
Refrigerant#
Leakage#
Worst#Scenario#
~12%#reduction#
Best#Scenario#
~91%#reduction#
Precision#
Farming#
30%#!#
energy#
efViciency#
(electricity)#
5%#
Refrigerant#
Leakage#
Cumulative#%#reduction#in#total#
hotspot#impact#contribution#
Cumulative#%#addition#in#total##
hotspot#impact#contribution#
GHG	
  
Scenario	
  
Analysis	
  
(Cereal	
  &	
  Fruit	
  Juice)	
  
5%#
10%#
15%#
20%#
25%#
30%#
35%#
0%#
5%#
10%#
15%#
20%#
25%#
Grain#
Farming#
Manufacturing#
Packaging#
Life#Cycle#Stage#Hotspots#
40%#
End#of#Life#
Baseline##
(no#environmental#
attributes#implemented)#
65%#of#total#
impact#
30%#
45%#
50%#
55%#
60%#
65%#
Orange#Farming#
Retail#
(Refrigeration)#
Wheat#Cereal# Orange#Juice#
69%#of#total#
impact#
70%#
75%#
80%#
85%#
90%#
100%#Wind#
electricity#
Organic#
5%#
Refrigerant#
Leakage#
Worst#Scenario#
~12%#reduction#
Best#Scenario#
~91%#reduction#
Precision#
Farming#
30%#!#
energy#
efViciency#
(electricity)#
5%#
Refrigerant#
Leakage#
50%#Wind#
electricity#
~56%#
reduction#
Cumulative#%#reduction#in#total#
hotspot#impact#contribution#
Cumulative#%#addition#in#total##
hotspot#impact#contribution#
GHG	
  
Scenario	
  
Analysis	
  
(Cereal	
  &	
  Fruit	
  Juice)	
  
100%$
Bioenergy$
(thermal)$
5%$
10%$
15%$
20%$
25%$
30%$
35%$
0%$
5%$
10%$
15%$
20%$
25%$
Grain$
Farming$
Manufacturing$
Packaging$
Life$Cycle$Stage$Hotspots$
30%$!$
Electrical$
EfFiciency$
30%$!$
Thermal$$
EfFiciency$
Recycled$
Paperboard$
(primary)$
40%$
PLA$
cereal$
bag$
Recycled$
Cardboard$
(secondary)$ Best$Scenario$
~39%$reduction$
End$of$Life$
PLA$
cereal$
bag$
Baseline$$
(no$environmental$
attributes$implemented)$
65%$of$total$
impact$
30%$
45%$
50%$
55%$
60%$
65%$
Orange$Farming$
Retail$
(Refrigeration)$
Wheat$Cereal$ Orange$Juice$
69%$of$total$
impact$
70%$
75%$
80%$
85%$
90%$
100%$Wind$
electricity$
Organic$
5%$
Refrigerant$
Leakage$
Worst$Scenario$
~12%$reduction$
Best$Scenario$
~91%$reduction$
Precision$
Farming$
30%$!$
energy$
efFiciency$
(electricity)$
5%$
Refrigerant$
Leakage$
50%$Wind$
electricity$
~56%$
reduction$
100%$Wind$
electricity$
Cumulative$%$reduction$in$total$
hotspot$impact$contribution$
Cumulative$%$addition$in$total$$
hotspot$impact$contribution$
GHG	
  
Scenario	
  
Analysis	
  
(Cereal	
  &	
  Fruit	
  Juice)	
  
100%$
Plastic$
Cereal$Bag$
(no$box)$$
100%$
Bioenergy$
(thermal)$
5%$
10%$
15%$
20%$
25%$
30%$
35%$
0%$
5%$
10%$
15%$
20%$
25%$
Grain$
Farming$
Manufacturing$
Packaging$
Life$Cycle$Stage$Hotspots$
30%$!$
Electrical$
EfHiciency$
30%$!$
Thermal$$
EfHiciency$
Recycled$
Paperboard$
(primary)$
40%$
PLA$
cereal$
bag$
Recycled$
Cardboard$
(secondary)$
30%$!$
Thermal$
EfHiciency$
Best$Scenario$
~39%$reduction$
Worst$Scenario$
~7%$addition$
End$of$Life$
PLA$
cereal$
bag$
Baseline$$
(no$environmental$
attributes$implemented)$
65%$of$total$
impact$
30%$
45%$
50%$
55%$
60%$
65%$
Orange$Farming$
Retail$
(Refrigeration)$
Wheat$Cereal$ Orange$Juice$
69%$of$total$
impact$
70%$
75%$
80%$
85%$
90%$
100%$Wind$
electricity$
Organic$
5%$
Refrigerant$
Leakage$
Worst$Scenario$
~12%$reduction$
Best$Scenario$
~91%$reduction$
Precision$
Farming$
30%$!$
energy$
efHiciency$
(electricity)$
5%$
Refrigerant$
Leakage$
50%$Wind$
electricity$
~56%$
reduction$
100%$Wind$
electricity$
Organic$
Cumulative$%$reduction$in$total$
hotspot$impact$contribution$
Cumulative$%$addition$in$total$$
hotspot$impact$contribution$
GHG	
  
Scenario	
  
Analysis	
  
(Cereal	
  &	
  Fruit	
  Juice)	
  
Recycled'
Paperboard'
(Primary)'
100%'
Plastic'
Cereal'Bag'
(no'box)''
100%'
Bioenergy'
(thermal)'
5%'
10%'
15%'
20%'
25%'
30%'
35%'
0%'
5%'
10%'
15%'
20%'
25%'
Grain'
Farming'
Manufacturing'
Packaging'
Life'Cycle'Stage'Hotspots'
30%'!'
Electrical'
EfJiciency'
30%'!'
Thermal''
EfJiciency'
Recycled'
Paperboard'
(primary)'
40%'
PLA'
cereal'
bag'
Recycled'
Cardboard'
(secondary)'
30%'!'
Thermal'
EfJiciency'
Best'Scenario'
~39%'reduction'
Worst'Scenario'
~7%'addition'
End'of'Life'
PLA'
cereal'
bag'
Baseline''
(no'environmental'
attributes'implemented)'
65%'of'total'
impact'
~21%'
reduction'
30%'
45%'
50%'
55%'
60%'
65%'
Orange'Farming'
Retail'
(Refrigeration)'
Wheat'Cereal' Orange'Juice'
69%'of'total'
impact'
70%'
75%'
80%'
85%'
90%'
100%'Wind'
electricity'
Organic'
5%'
Refrigerant'
Leakage'
Worst'Scenario'
~12%'reduction'
Best'Scenario'
~91%'reduction'
Precision'
Farming'
30%'!'
energy'
efJiciency'
(electricity)'
5%'
Refrigerant'
Leakage'
50%'Wind'
electricity'
~56%'
reduction'
100%'Wind'
electricity'
Organic'
Cumulative'%'reduction'in'total'
hotspot'impact'contribution'
Cumulative'%'addition'in'total''
hotspot'impact'contribution'
GHG	
  
Scenario	
  
Analysis	
  
(Cereal	
  &	
  Fruit	
  Juice)	
  
ASSESS ECONOMIC COSTS OF REDUCTIONS
3.  Allow	
  managers	
  to	
  
quickly	
  simulate	
  
procurement	
  
scenarios	
  to	
  compare	
  
environmental	
  
performance	
  vis-­‐à-­‐vis	
  
economic	
  costs/
benefits.	
  
Illustrative example; simulation results will be
dependent upon scenario reduction estimates
and user-specified information (price/kg, volume
purchased, alternative spending strategies, etc.)
Jones&et&al&(2008).&Consumer4Oriented&Life&Cycle&Assessment&of&Food,&Goods,&and&Services&
Variability)
Within)a)
Sector)
Subs3tutability)
between)
Sector)Spend)
•
•
Switching from all-pork to a 50/50
pork/chicken sourced sausage:
• Estimated CO2e reduction of 350-850
gCO2e /$(2007)
• @ $100,000 spend: 35,000-85,000
kgCO2e; ≈ 7-17 cars/year
• @ 6.5% price/kg discount: Switch
saves ≈ $.13/kgCO2e reduction.
PROCUREMENT PORTFOLIO DECISION
PROBLEMS
•  Given	
  a	
  targeted	
  CO2	
  reduc.on	
  target,	
  what	
  
alloca.on	
  of	
  purchases	
  minimizes	
  total	
  costs?	
  	
  
•  Given	
  a	
  targeted	
  budget	
  (increase/decrease),	
  
what	
  alloca.on	
  of	
  purchases	
  maximizes	
  total	
  
CO2	
  reduc.ons?	
  
CONCLUDING THOUGHTS
•  LCA	
  isn’t	
  perfect	
  	
  
– Costly,	
  sensi.ve	
  to	
  data	
  assump.ons	
  and	
  
boundary	
  condi.ons,	
  etc.	
  
•  LCA	
  doesn’t	
  solve	
  problems	
  
– Omen	
  surfaces	
  more	
  ques.ons	
  than	
  answers	
  
– Informa.on	
  provided	
  is	
  uncertain	
  
•  LCA	
  is	
  necessary	
  if	
  decision	
  requires	
  a	
  
quan.fica.on	
  of	
  impacts	
  across	
  process	
  
stages.	
  
•  LCA	
  is	
  an	
  approach	
  not	
  an	
  absolute	
  truth	
  
THANK YOU!
Contact Info:
Dr. Timothy Smith – timsmith@umn.edu
SPR Slides - LCA - 5.14.2014

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SPR Slides - LCA - 5.14.2014