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Sustainable Material Management and Consumer Technology
A collaboration among:Golisano Institute for Sustainability at Rochester Institute of Technology
Consumer Technology AssociationStaples Sustainable Innovation Lab
U.S. EPA
RIT research students: Shahana Althaf and Hema Madaka
Callie W. Babbitt, Ph.D.
Golisano Institute for SustainabilityFocus on Sustainable Systems at RIT
Knowledge to enable the future sustainability workforce
Graduate degrees Corporate training Focus on sustainable technology and
infrastructure
Research & development University-industry partnerships “Triple-bottom-line”: people, prosperity, and the
planet
Solutions to global challenges Resource and energy security Food supply chains Sustainable mobility Eco-efficient manufacturing Waste minimization and management
Manufacturing
Transport
Distribution
Use
Waste Management
Recycling
Resource Extraction
Sustainability and electronics
Climate changeWater consumptionMaterial scarcityLabor and equityHuman healthEconomic costPollutionWaste generationEtc….
Research goal 2: Assess sustainability at the intersection of technology and consumption
Is the ‘net’ impact same, increased, or
decreased?
‘per product’ life cycle impact
reduced
Research phases
1. Analyze the “material footprint” of historic + current consumer electronics adoption Data-driven baseline
2. Forecast issues and opportunities expected for emerging consumer electronics adoption Future-oriented predictive model
3. Assess sustainability challenges of materials needed to enable future adoption trends Sustainable materials management (SMM)
•Broad material categories
•Aggregate U.S. flows
•Deep dive into specific materials
• Implications of material choice
Phase 1 and 2: Assess historic + predict future material footprint
Approach:1) Quantify products purchased, stored, and discarded annually
Product ownership rates
Data Results
‘Average’ U.S. Household
Change in unit stock (stored)
Estimated unit discards*
*Discards may be products for reuse, recycling, or waste
Product consumption -unit sales and shipments
Scope: “Average” U.S. Household, 21 most common products, 1990-2018
Approach:2) Determine average product mass and material composition
x ~100 productsPhoto: Kelly Hofer
• Product disassembly and material characterization• Data from literature and technical or policy documentation (NCER)• Ongoing efforts to expand, analyze uncertainty, and catalog for public use
Approach:3) Determine trends in the electronics material footprint
Product ownership rates
Data Results
‘Average’ U.S. Household
Change in unit stock (stored)
Estimated unit discards*
Average product mass, bill of materials
Material footprint
Product consumption -unit sales and shipments
Approach:4) Use past product adoption trends to predict future patterns
Products follow consistent pattern: “S-curve” growth, plateau, and decline on introduction of a competing technology
Levitt 1965
Key findings
Citations: Babbitt, C.W. Althaf, S., Chen, R. 2017. “Sustainable Materials Management for the Evolving Consumer Technology Ecosystem – Phase 1: Modeling Framework and Baseline Results.” A report to the Staples Sustainable Innovation Lab and the Consumer Technology Association.
Babbitt, C.W. Althaf, S., Chen, R. 2018. “Sustainable Materials Management for the Evolving Consumer Technology Ecosystem – Phase 2: Predictive Modeling of Emerging Technology Products.” A report to the Staples Sustainable Innovation Lab and the Consumer Technology Association.
Althaf, S., Babbitt, C. W., & Chen, R. 2019. “Forecasting electronic waste flows for effective circular economy planning”. Resources, Conservation and Recycling, 151, 104362.
0
50
100
150
200
250
300
350
400
450
Annu
al P
rodu
ct In
flow
to U
S H
ouse
hold
s(m
illion
uni
ts)
Phones &Tablets
Other mobileproducts
Audio VisualProducts
Printers
Desktops
Laptops
Flat PanelDisplays
Cathode RayTube Displays
Unit product consumption has grown and evolvedGrowth in mobile device consumption, with recent shifts toward device convergence
Babbitt et al. 2017
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
Annu
al P
rodu
ct In
flow
to U
S H
ouse
hold
s(m
illion
met
ric to
ns)
Phones &Tablets
Other mobileproducts
Audio VisualProducts
Printers
Desktops
Laptops
Flat PanelDisplays
Cathode RayTube Displays
Material intensity of consumption has declined
Transition from CRT to flat panel display
Babbitt et al. 2017
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Annu
al P
rodu
ct D
isca
rds
from
US
Hou
seho
lds
(milli
on m
etric
tons
)
Phones &Tablets
Other mobileproducts
Audio VisualProducts
Printers
Desktops
Laptops
Flat PanelDisplays
Cathode RayTube Displays
Mass of consumer e-waste has begun a comparable decline
Babbitt et al. 2017
Regulated* e-waste forecasted to continue a decline
Althaf et al. 2019
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
2010 2015 2020 2025
Fore
cast
E-w
aste
Gen
erat
ion
in U
S (m
etric
tons
)
Tablets
Laptops
Desktops
Printers
CRT Monitors
FP Monitors
CRT TVs
FP TVs
CRT: Cathode Ray Tube FP: Flat Panel
New product adoption follows consistent trends, but over shrinking innovation cycles
Babbitt et al. 2018
Emerging products quickly peak, minimal waste contribution anticipated for mobile devices
Althaf et al. 2019
Other materials management challenges are expected
Rubber, Components glued Indium, Cobalt, Lithium, Gold
photo credit: Alex TongBabbitt et al. 2018
Goal 3: Evaluate sustainable materials management
How can we proactively assess material risks and
opportunities?
How can we communicate findings to support decision making?
Focus on common materials in electronics
Analyze metrics data to identify key material hotspots
Identify key metrics to capture sustainability risks across material life cycle
• Precious metals• Base Metals• Strategic / critical
metals• REEs (Rare Earth
Elements)• Hazardous materials• Plastics
• Economic• Environmental • Social
Data Collection
Explore the potential sustainability solutions
• Scientific articles• Reports• Government
websites
Based on • Risk level in
metrics• Use in
electronics• Relevance to
U.S. economy
• Recycling• Material
substitution• Supply chain
diversification
Approach:Create and apply SMM metrics to key materials*
Metrics to proactively identify risks and opportunities
Metrics to proactively identify risks and opportunities
Metrics to proactively identify risks and opportunities
Key findings
Citation: Althaf, S., Babbitt, C.W. Madaka, H., Gaustad, G., Flynn, C. 2019. “Sustainable Materials Management Metrics to Assess Consumer Technology – Phase 3: Development and application of sustainability metrics to identify environmental, economic, and social issues and opportunities for materials used in technology products.” A report to the Staples Sustainable Innovation Lab and the Consumer Technology Association.
Electronics materials have concentrated supply chains
Althaf et al. 2019
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
AlCuMgFeNiZnTi
AuAgPdPtSbBaCoGrInLi
MnTaTeSnV
REEsPbHgCrCd
Contribution to global primary production1st top producer 2nd top producer 3rd top producer 4th top producer
Supply chains are vulnerable to geopolitical and market disruptions
Althaf et al. 2019
0.0
0.2
0.4
0.6
0.8
1.0Sn
NiAu
Ag
Cu
Mn
Cd
Ba
Zn
Ta
Ga
TiFe
PbIn
CrAl
Li
Co
V
Gr
Te
PGM
Sb
Hg
REEsMg
Production ratio as byproduct Production concentration (HHI)
Future availability faces competition from other sectors
Althaf et al. 2019
Material HotspotsAnnual U.S
Consumption (metric tons)
Main Use Sector in US Consumption in electronics sector
Precious metals
Au 145 Jewelry 6%Ag 5,500 Electrical and electronics 25%
Pd 42 Auto catalysts 45%
Pt 45 Auto catalysts 68%
Critical/strategic metals
Co 7,200Superalloys in aircraft
engines 22%
Ga 23,000 Integrated Chips 67%
In 170ITO layer in flat panel
displays 84%
Li 2,000 Batteries 46%
Ta 1,170 Tantalum capacitors 48%
Sn 46,000 Tinplate, solder 48%Rare Earth Elements ( REEs) 12,200 Catalysts 75% ++
Example: battery materials
Althaf et al. 2019; Wang et al. 2014
0
40,000
80,000
120,000
160,000
0
8
16
24
32
2013 2014 2015 2016 2017 2018
Co
and
Li a
nnua
l pro
duct
ion
(met
ric to
ns)
Co
and
Li p
rice
($ p
er p
ound
)
Cobalt price Lithium priceCobalt production Lithium production
Aluminum5% Cobalt
18%
Lithium2%
Copper12%
Steel22%
Graphite16%
Carbon black3%
LiPF65%
EC/other8%
Binders3%
Plastics6%
Li-ion battery content, by mass (above) and by value (below)
0% 20% 40% 60% 80% 100%
Cobalt
Lithium
Graphite
Nickel
Aluminum
Manganese
Import reliance & Major use sector in the U.S.
Major import source U.S. Import Reliance (% of apparent consumption)
Norway
Canada
China
Construction
Argentina
Canada
Gabon
Superalloys in aircraft engines
Batteries
Brake linings, lubricants
Stainless steel & alloy steel products
Transportation applications
Data Source: USGS Mineral Commodity Summaries Althaf et al. 2019
Example: battery materials
Supply chains face social vulnerability
Althaf et al. 2019
Political stability and absence of violence in major producing regions
Social vulnerabilities vary with supply chain geopraphy
Althaf et al. 2019
Material extraction and processing create variable environmental impacts
Althaf et al. 2019
Results are shown on “per kg” basis
Environmental impacts vary with supply chain geography
Water scarcity footprint: considers amount of water used and scarcity in region of use
Althaf et al. 2019
0
10
20
30
40
50
60
70
80
90
100
E-w
aste
Mat
eria
l Com
posi
tion
(100
%)
Others
Batteries
Printed CircuitBoardPlastics
Copper
Aluminum
Steel
Flat PanelGlassCRT Glass
End-of-life management faces an evolving material mix
Babbitt et al. 2017
0
1
2
3
4
5
6
7
8
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
Mer
cury
was
te fl
ow fr
om L
CD
dis
play
s (m
etric
tons
)
Lead
was
te fl
ow fr
om P
CBs
and
CR
T di
spla
ys (m
etric
tons
)
Lead Waste Flow Mercury Waste Flow
Traditional material hazards have begun to decline
Babbitt et al. 2017
Material recovery opportunities are changing
Babbitt et al. 2017, Althaf et al. 2019
0.000%
0.001%
0.002%
0.003%
0.004%
0.005%
0.00%
0.10%
0.20%
0.30%
2000 2004 2008 2012 2016
Gol
d &
Indi
um c
onte
nt in
e-
was
te (%
)
Cob
alt c
onte
nt in
e-w
aste
(%) Cobalt Gold Indium
0.000001
0.00001
0.0001
0.001
0.01
0.1
10.0000010.000010.00010.0010.010.11
E-w
aste
con
cent
ratio
n
Ore Concentration
Sn Co
Li
Ag
In
Ga
Pd
AuREE
Ta
Elemental concentration in e-waste is relatively low, but recovery alleviates supply chain risks
Althaf et al. 2019
“Closed loop” is theoretically feasible, but limited by form, technology, and markets
Althaf et al. 2019
0250500750
1,0001,2501,5001,7502,0002,2502,5002,7503,000
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
EV B
atte
ry P
acks
in w
aste
str
eam
(th
ousa
nds)
LIB Packs (High) LIB Packs (Baseline) LIB Packs (Low)
38,000 MT
142,000 MT
340,000 MT
Li-ion batteries in consumer electronics (2018)
Recovery also influenced by competing sectors: battery example
Richa et al. 2014
Next Steps and Needed Input
Stakeholder-driven material exploration• Battery materials – alternate technologies,
recycling innovations• Plastics – bio-based, recycled content,
recycling, water impacts**New research project funded on Circular Economy and plastics – looking for industry input
Research on e-plastic degradation, flame retardants
Callie Babbitthttp://www.rit.edu/gis/[email protected]@CallieBabbitt
Reports available at: http://www.rit.edu/gis/ssil/reports.php
Funding provided by the National Science Foundation (CBET-1236447 and CBET-1254688), the Consumer Technology Association, and the Staples Sustainable Innovation Lab at RIT.
Research assistance from Barbara Kasulaitis, Matt Koskinen, Mona Komeijani, Erinn Ryen, Mosun Odulate, Gabrielle Gaustad, Roger Chen, Carli Flynn
Contact and Acknowledgements