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Life-cycle Analysis with the GREET Model Michael Wang Systems Assessment Center Energy Systems Division Argonne National Laboratory Presentation at the SwRI LCA Symposium Nov 3, 2021

Life-cycle Analysis with the GREET Model

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Life-cycle Analysis with the

GREET Model

Michael Wang

Systems Assessment Center

Energy Systems Division

Argonne National Laboratory

Presentation at the SwRI LCA Symposium

Nov 3, 2021

greet.es.anl.gov

2

Transportation accounts for 33% of US total GHGs; GREET includes all transportation subsectors

Road (72%*) Air (11%*)

Rail (2%*) Marine (3%*)

GREET

3

• Light-duty vehicles

• Medium-duty vehicles

• Heavy-duty vehicles

• Various powertrains:

Internal combustion

Battery electric

Fuel cells

Freight transportation

GREET includes

• Diesel

• Electricity

• CNG/LNG

The sector is under pressure to

reduce air emissions and GHG

emissions. GREET includes

• Ocean and inland water

transportation

• Baseline diesel and alternative

marine fuels

Globally, a fast growing sector

with GHG reduction pressure.

GREET includes

• Passenger and freight

transportation of various

alternative fuels blended with

petroleum jet fuels

* Share of US transportation GHG emissions; remaining 12% is from pipelines and offroad.

GREET now also cover the building sector LCA.

GREET covers many groups of energy systems

Petroleum Sector:• Conventional oil

• Shale oil

• Oil Sands

Natural Gas Sector:• Conventional NG

• Shale gas

Gasoline

Diesel

Jet fuel

Liquefied petroleum gas

Naphtha

Residual oil

1st Gen Feedstocks:

• Corn

• Sorghum

• Soybeans

• Rapeseeds

• Sugarcane

• Palm

2nd Gen Feedstocks:

• Dedi. energy crops

• Crop residues

• Forest residues

• MSW

• Animal wastes

Algae

Natural gas

Coal

Residual oil

Biomass

Nuclear

Hydro

Wind

Solar

Electric Systems:• Electricity generation at

US plant level

• Aggregate to national,

NERC, and state level

• With CCS, if applicable

Natural gas

Biomass

Coal

Petroleum coke

Coke oven gas

Electrolysis with electricity

Nuclear energy

Hydrogen Economy:• Gaseous hydrogen

• Liquid hydrogen

• With CCS, if applicable

• NG end use in electric,

industrial, and residential

sectors

• Transportation sector:

CNG, LNG

• Alternative fuels: LPG,

methanol, DME, FT

diesel, FT jet

Renewable

Energy/Fuels:• Ethanol

• Biodiesel

• Renewable diesel

• Renewable gasoline

• Renewable jet fuel

• Renewable natural gas

Renewable Hydrogen via

electrolysis:• Wind

• Solar

• Nuclear

CO2 Sources• Ethanol plants

• NG SMR plants

• Cement plants

• Etc.

Electro-Fuels• Gasoline

• Diesel

• Jet fuel

• Methanol

4Besides energy systems, GREET also includes

plastics and products.

Life cycle of petroleum fuels

▪GREET covers from petroleum recovery to fuel use (combustion) by including all energy

inputs and emissions for each stage.

5

Exploration

and recovery

Transportation

of crude

Petroleum

refining

Fuel

transportation

and distribution

Fuel

combustion

Energy sources

Coal Natural gas Oil RenewablesEmissions

Crude oil

Co-reactants,

Catalysts,

Methanol,

Corn-derived ethanol

Well-To-Wheels (WTW)

6

GREET system boundary for biofuel LCA: direct activities and indirect effects are included

Key factors determining biofuel LCA

results❑ LCA system boundary

❑ Feedstock types

❑ Conversion technologies: energy balance

and materials inputs such as enzyme and

catalyst

❑ Technology improvement over time

❑ Biorefineries with distinctly different

products: co-product methods

❑ Direct and indirect land use changes

Approach to developing a materials inventory (bill of materials) for vehicles in GREET 2

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Vehicle ModelVehicle fuel economy

Vehicle and component weights

ASCM1 Dismantling

Reports

Other literatureEngineering

Calculations

Vehicle Components

• Body

• Powertrain

• Transmission

• Chassis

• Electric traction motor

• Generator

• Electronic controller

Battery

• Startup (Pb-Acid)

• Electric-drive

• Ni-MH

• Li-ion

Fluids

• Engine oil

• Power steering fluid

• Brake fluid

• Transmission fluid

• Powertrain coolant

• Windshield fluid

• Adhesives

1. Automotive System Cost Model, IBIS Associates and Oak Ridge National Laboratory

GREET relies on a variety of data sources

Baseline technologies and systems

• Energy Information Administration’s data and its Annual Energy Outlook projections

• EPA eGrid for electric systems

• US Geology Services for water data

Field operation data

• Oil sands and shale oil operations

• Ethanol plants energy use

• Farming data from USDA

Simulations with models

• ASPEN Plus for fuel production

• ANL Autonomie for fuel economy

• EPA MOVES for vehicle emissions, EPA AMPD for stationary emissions

• LP models for petroleum refinery operations

• Electric utility dispatch models for marginal electricity analysis

Collaboration with other organizations

Industry inputs

• Fuel producers and technology developers on fuels

• Automakers and system components producers on vehicles

8

GREET results inform various DOE offices and programs

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(DOE EERE Record 21003, Sept. 2021)

▪ Life-cycle GHG emissions of a small SUV

▪ Generated with GREET2020

▪ Combination of powertrain and fuel

technologies for deep decarbonization by

2050

GHG emissions of vehicle manufacturing cycle for a small SUV

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(DOE EERE Record 21003, Sept. 2021)

Comparative life-cycle GHG emissions of a mid-size global average car by powertrain, 2018 (tonnes per vehicle lifetime)

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Source: IEA (2019), "Global EV Outlook 2019", IEA, Paris

ICE HEV PHEV BEV FCEV 0

5

10

15

20

25

30

35

40

45

t CO2-eq Effect of larger

battery (+ 200 km)

Tank-to-wheel fuel

cycle

Well-to-tank fuel

cycle

Vehicle cycle -

batteries (200 km)

Vehicle cycle -

assembly, disposal

and recycling

Vehicle cycle -

components and

fluids

Variability relative

to vehicle size

GREET life-cycle GHG emissions of ethanol: feedstock is the main driver

12

9552

328

11-4

-150

-100

-50

0

50

100

150

With LUC Without LUC With LUC With LUC With LUC

Gasoline Corn ethanol Sugarcaneethanol

Corn stoverethanol

Switchgrassethanol

Miscanthusethanol

WT

W G

HG

em

issio

ns,

g C

O2e/M

JWTP Biogenic CO₂ in Fuel PTW LUC WTW

Carbon intensity of corn ethanol without LUC

▪ Corn ethanol CIs have

decreased over the last 15

years (23% or 14gCO2e/MJ)

▪ Corn ethanol CI (including

LUC) in 2019 shows 44%

reduction compared to fossil

baseline (93 gCO2e/MJ)

▪ Ethanol production-related

emissions have decreased

30% (11 gCO2e/MJ; 36→25)

▪ Corn farming shows

reductions in GHG, 15% (5

gCO2e/MJ; 33→28)

5856

5553 53

51 51 5149 47 46 45 46

44 45

-20

-10

0

10

20

30

40

50

60

70

80

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

Co

rn e

tha

no

l c

arb

on

in

ten

sity

with

ou

t LU

C (

gC

O2e

/MJ)

Corn farming energy Fertilizers and chemicals Displacement credit Ethanol production

Transportation Combustion Total CI

13

A recent application of GREET LCA for EVs in global GHG regulations

15

Observations: Values and Limitations of LCA❑ LCA is a major step to holistically evaluate sustainability of a technology

▪ From singular stages to the complete supply chain so that shift in environmental burdens from one stage to the other is not missed

▪ LCA thinking has helped changes in corporation and consumer behaviors▪ LCA based regulations have helped promotion of sustainable technologies▪ Process level details along a technology’s supply chain provide insights of opportunities and challenges of a

technology’s sustainability

❑ LCA results are still subject to variations and uncertainties▪ LCA system boundary depends on scope of LCA▪ Attributional and consequential LCA address different questions and have completely different boundaries▪ Co-product methods in LCA can be subjective and affect LCA results significantly▪ Data availability and representation

✓ Temporal variation✓Geographic/spatial variation✓Data uncertainty (e.g., sources of process energy/chemicals, methane emissions, land use changes from

biofuels)▪ Limitations of comparative results from LCA

✓ Current vs. uncertain future✓Different technology readiness levels (TRLs) across processes and pathways✓ Resource and infrastructure availability✓ Economics, production scalability, and market acceptance/competitiveness

Questions?

Michael Wang ([email protected])

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