Transportation Fuels Life-Cycle Analysis Using the...
Transcript of Transportation Fuels Life-Cycle Analysis Using the...
Transportation Fuels Life-Cycle Analysis Using the GREET Model
Ignasi Palou‐Rivera Center for Transporta6on Research Energy Systems Division Argonne Na6onal Laboratory ESI Seminar, CAPD, Carnegie Mellon University January 31, 2012
The GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transporta8on) Model Life‐cycle analysis is an integral part of evalua6on and pursuit
of efficient vehicle technologies and new transporta6on fuels GREET LCA model development has been supported by US
Department of Energy since 1995 GREET and its documents are available at
hPp://greet.es.anl.gov/ The most recent version of GREET (GREET1_2011) was
released in Oct. 2011 There are more than 14,000 registered GREET users
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The GREET Model Estimates Energy Use and Emissions of GHGs and Criteria Pollutants for Vehicle/Fuel Systems Energy use
– Total energy: fossil energy and renewable energy • Fossil energy: petroleum, natural gas, and coal (they are es6mated separately) • Renewable energy: biomass, nuclear energy, hydro‐power, wind power, and solar energy
Greenhouse gases (GHGs) – CO2, CH4, and N2O – CO2e of the three (with their global warming poten6als)
Criteria pollutants – VOC, CO, NOx, PM10, PM2.5, and SOx – They are es6mated separately for
• Total (emissions everywhere) • Urban (a subset of the total)
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The 2007 EISA and Low-Carbon Fuel Standard Development Require Life-Cycle Analysis for Fuels
EISA requires LCAs to be conducted to determine if given fuel types meet mandated minimum GHG reduc6ons – New ethanol produced from corn: 20% – Cellulosic biofuels: 60% – Biomass‐based diesel (e.g., biodiesel): 50% – Other advanced biofuels (e.g., imported sugarcane ethanol, renewable diesel, CNG/LNG
made from biogas): 50% – EPA released a no6ce of proposed rulemaking (NPRM) in early May
Low‐carbon fuel standard development efforts in EU, California, and other states require LCAs for biofuels – Life cycle analysis includes – All major GHGs (CO2, CH4, and N2O) – Both produc6on and use of fuels – Direct and indirect land use change impacts
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Key LCA Issues
System boundary – Construc6on of infrastructure vs. opera6on stages of the complete life cycle – Indirect effects primarily via market/pricing effects
Technology choices for LCAs – LCA comparison among pathway technologies
• Fuel produc6on: commercial ones vs. emerging ones s6ll at the R&D stage • Vehicle technologies: performance equivalency
– Pathway defini6on: technology op6ons for pathway stages • Exis6ng vs. emerging • Environmental sustainability vs. economic viability
– Inter‐ and intra‐pathway technology choices result in many op6ons; cherry‐picking results from singular dimension can result in erroneous conclusions
Methods of addressing co‐products of transporta6on fuels Life‐cycle analysis methodologies
– APribu6onal LCA: GREET approach – Consequen6al LCA
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Life-Cycle Analysis System Boundary: Petroleum to Gasoline
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Life-Cycle Analysis System Boundary: Corn to Ethanol
Conventional Animal Feed Production
CO2 in the atmosphere
CO2 via photosynthesis
Energy inputs for farming
Fertilizer
N2O emissions from soil and water streams
CO2 emissions during fermentation
CO2 emissions from ethanol combustion Carbon in
ethanol Carbon in kernels
DGS
Direct land use change
Indirect land use changes for other crops and in other
regions
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GREET Includes More Than 100 Fuel Produc8on Pathways from Various Energy Feedstocks
The yellow boxes contain the names of the feedstocks and the red boxes contain the names of the fuels that can be produced from each of those feedstocks.
Petroleum Conventional Oil Sands
Compressed Natural Gas Liquefied Natural Gas Liquefied Petroleum Gas Hydrogen Methanol Dimethyl Ether Fischer-Tropsch Diesel Fischer-Tropsch Jet Fuel
Natural Gas North American Shale Gas Non-North American
Coal
Soybeans
Gasoline Diesel Liquefied Petroleum Gas Residual Oil (to electricity) Jet Fuel
Hydrogen Methanol Dimethyl Ether Fischer-Tropsch Diesel Fischer-Tropsch Jet Fuel
Biodiesel Renewable Diesel Renewable Gasoline Renewable Jet Fuel
Sugarcane
Corn
Cellulosic Biomass Switchgrass Fast Growing Trees Crop Residues Forest Residues
Coke Oven Gas Petroleum Coke Nuclear Energy
Residual Oil Coal Natural Gas Biomass Other Renewables
(hydro, wind, solar, geothermal)
Ethanol Butanol
Ethanol
Ethanol Hydrogen Methanol Dimethyl Ether Fischer-Tropsch Diesel Fischer-Tropsch Jet Fuel
Electricity
Hydrogen
Compressed Natural Gas Liquefied Natural Gas Hydrogen Methanol Dimethyl Ether Fischer-Tropsch Diesel Fischer-Tropsch Jet Fuel
Renewable Natural Gas Landfill Gas Biogas from anaerobic digestion
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Algae
Biodiesel Renewable Diesel Renewable Gasoline Renewable Jet Fuel
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GREET Examines More Than 80 Vehicle/Fuel Systems
Conventional Spark-Ignition Engine Vehicles Gasoline Compressed natural gas, liquefied natural gas, and liquefied petroleum gas Gaseous and liquid hydrogen Methanol and ethanol
Spark-Ignition, Direct-Injection Engine Vehicles Gasoline Methanol and ethanol
Compression-Ignition, Direct-Injection Engine Vehicles Diesel Fischer-Tropsch diesel Dimethyl ether Biodiesel
Fuel Cell Vehicles On-board hydrogen storage – Gaseous and liquid hydrogen from various sources On-board hydrocarbon reforming to hydrogen
Battery-Powered Electric Vehicles Various electricity generation sources
Hybrid Electric Vehicles (HEVs) Spark-ignition engines: – Gasoline – Compressed natural gas, liquefied natural gas, and liquefied petroleum gas – Gaseous and liquid hydrogen – Methanol and ethanol Compression-ignition engines – Diesel – Fischer-Tropsch diesel – Dimethyl ether – Biodiesel
Plug-in Hybrid Electric Vehicles (PHEVs) Spark-ignition engines: – Gasoline – Compressed natural gas, liquefied natural gas, and liquefied petroleum gas – Gaseous and liquid hydrogen – Methanol and ethanol Compression-ignition engines – Diesel – Fischer-Tropsch diesel – Dimethyl ether – Biodiesel
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The Suite of GREET Models
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GREET GUI
GREET SST SST: Stochas;c Simula;on Tool
GUI: Graphic User Interface
GREET 1 Excel model: Fuel‐cycle (or WTW) modeling for light‐duty vehicles
GREET 2 Excel model: Vehicle‐cycle modeling for light‐duty vehicles
GREET CCLUB CCLUB: Carbon Calculator for Land Use Change from Biofuels Produc;on
GREET APD APD: Algae Process Descrip;on
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A Process is The Building Block of a Pathway in GREET A process employs technologies Technologies employ fuels and may produce emissions
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Energy is defined at process level
Emissions are defined at technology level .
Product
Pathway
Processes
Technologies
Fuels and Material Inputs
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I. Fuels and Material Inputs:
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Product
Pathway
Processes
Technologies
Fuels and Material Inputs
Fer;lizers
Fuels
Electricity
Biomass
Nuclear
Proper6es: Hea6ng Value, C%, S%, etc.
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II. Technologies (Combus;on)
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Emissions
Boilers
Engines
Turbines
Tractors
Trucks
Fuel
Fuel
Fuel
Fuel
Fuel
Important Notes: • CO2 is calculated by balancing carbon in the
fuel with carbon in emissions
• SOx may be calculated by balancing sulfur in fuel with sulfur in emissions (if no emissions control)
• EF for power genera6on technologies may be specified in [g/kWhe]
Emissions Factor (EFi) = Emissions of species i [g]
Unit of Fuel used [mmBtu]
Product
Pathway
Processes
Technologies
Fuels and Material Inputs
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II. Technologies (Light‐Duty Vehicles)
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Emissions
Fuel
Species vector include:
• CH4 and N2O
• VOC, CO, NOx, PM10, and PM2.5
Important Notes: • CO2 is calculated by balancing carbon in the fuel
with carbon in emissions
• SOx is calculated by balancing sulfur in fuel with sulfur in emissions
• Emission factors are independent of fuel economy
• The vehicle technology is a process by itself (PTW)
Emissions Factor (EFi) = Emissions of species i [g]
Vehicle Miles Travelled [mi]
Product
Pathway
Processes
Technologies
Fuels and Material Inputs
VMT
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III. Processes (The Building Blocks of Pathways)
15 Process
Emissions
Process Fuel 1
Process Fuel 2
Process Fuel 3
TECH. 1
TECH. 2
TECH. 3
For Energy: ‐ Define output‐input rela6on (e.g., efficiency) ‐ Define Process Fuel Share
For Emissions: ‐ Define Technology share for each process fuel
Main Product
Product
Pathway
Processes
Technologies
Fuels and Material Inputs
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(a) Energy Accoun;ng: • Define output‐input rela6on
• Efficiency (η) = 98% = energy in product/ all energy input
• TPF = [(1/0.98) – 1] x 1 mmBtu = 20,408 Btu = total process fuel to recover 1 mmBtu of crude
• Define Process Fuel Share • 2% Residual Oil • 15% Diesel • 62% NG • 21% Electricity
Example of Process Defini;on and Calcula;ons in GREET
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Crude Recovery (η=98%)
Residual Oil (2%)
Diesel (15%)
Natural Gas (62%) Crude
Electricity (21%)
Total Process Fuel used (TPF) = [(1/η) – 1 ] x product_energy
TPF
Residual oil = 0.02 x 20,408 = 408 Btu Diesel = 0.15 x 20,408 = 3,061 Btu
etc. 1/31/2012 ESI Seminar, CAPD, Carnegie Mellon University
(b) Emissions Accoun;ng: • Define Technology share for each process fuel
• Residual Oil 100% Boiler • Diesel 75% Engine, 25% Turbine • NG 50% Boiler, 50% Engine • Electricity Emissions free (at point of use)
Ei = Σj Σk EFi(j, k) . PF(j) . Share (j,k)
Where:
Ei = Total process emissions of pollutant i
EFi(j, k) = Emissions Factor of pollutant i when fuel j is used in technology k
Share (j,k) = Share of fuel j used in technology k
Example of Process Defini;on and Calcula;ons in GREET
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Crude Recovery
Emissions
Residual Oil (408 Btu)
Diesel (3,061 Btu)
Natural Gas (12,653 Btu)
Boiler
Engine
Crude Turbine
Boiler
Engine
75%
25%
50%
50% Electricity (4,286 Btu)
Example: Eco= [EFCO,RO_Boiler x 1 x 408 + (EFCO,Diesel_Engine x 0.75 + EFCO,Diesel_Turbine x 0.25) 3,061 + (EFCO,NG_Boiler x 0.5 + EFCO,NG_Engine x 0.5) 12,653] 10
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Example of Process + Upstream
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Upstream
NG Recovery
NG Processing NG
Transporta6on
Oil1%
Gas20%
Coal47%
Nuclear21%
Renewable11%
Process
Crude Recovery
Residual Oil
Diesel
Natural Gas
Electricity
Crude
Emissions
Crude Recovery
Crude Transporta6on
Fuel Transporta6on
Crude Refining
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Process Energy I/O Defini;on in GREET
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1. Efficiency
Example: Electric energy (output) per fuel energy (input)
2. Yield
Example: Gallons of Ethanol (output) per Bushel of Corn (input)
3. Energy intensity . Payload . Transporta;on distance
EtOH Dry Mill
Power Plant
Payload [ton]
Distance [mi]
Energy Intensity [Btu/ton‐mi] Payload [ton]
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Three Categories of Process Emissions in GREET
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1. Combus6on emissions (e.g., engines, boilers, turbines, etc.)
2. Non‐combus6on emissions (e.g., SMR, GTL, etc.)
3. Other emissions (from internally produced fuels)
Combus6on Process Fuel 1
Chemical Conversion
Process Fuel 2
internally produced fuel
Main Product
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Process Related Parameters in GREET
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• Input / output rela6on (e.g., efficiency, yield, energy intensity, etc.)
• Co‐product amount (e.g., steam, electricity, etc.)
• Energy for carbon capture and sequestra6on (CCS)
• Market shares of feedstock or product (Petroleum/oil sands, CG/RFG, electricity genera6on mix, etc.)
• Technology shares (e.g., NG simple cycle / NG steam cycle / NG combined cycle, Dry mill / wet mill, etc.)
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Product
Pathway
Processes
Technologies
Fuels and Material Inputs
IV. Energy Accoun;ng Throughout A Pathway in GREET
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Process 1 Process 2 Process 3 Vehicle
Traveling distance
1 1 1 1
Σi xi+upxi Σj yj+upyj
Σk zk+upzk
upfeed
feed fuel
Where:
upfeed is upstream energy needed to produce 1 unit of feed
x, y, and z are energy in process fuels or input materials
upxi is upstream energy needed to produce xi amount of fuel or material i
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Process Co‐Products Handling Methodology in GREET
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• Several methods are implemented in GREET:
• Displacement (of equivalent product)
• Alloca6on
• Energy‐based
• Mass‐based
• Market value‐based
• Hybrid
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Co‐Product Methods: Benefits and Issues
Displacement method – Data intensive: need detailed understanding of the displaced product sector – Dynamic results: fluctuate with economic and market modifica6ons
Alloca6on methods: based on mass, energy, or market revenue – Easy to use – Frequent updates not required for mature industry, e.g. petroleum refineries – Mass‐based alloca6on: not applicable for certain cases – Energy‐based alloca6on: less accurate with non‐fuel co‐products – Market revenue based alloca6on: subject to price varia6on
Process energy use approach – Requires detailed engineering analysis – Must allocate upstream burdens based on mass, energy, or market revenue
There is no consensus in policy and research arena on which method is the most appropriate; GREET offers several methods for users to select
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Choice of Co-Product Methods Can Have Significant LCA Effects for Biofuels
25 In Wang et al. (Energy Policy J., 2011)
-120,000
-80,000
-40,000
0
40,000
80,000
C-E
1
C-E
2
C-E
3
C-E
4
C-E
5
G-E
1
G-E
2
G-E
3
S-B
D1
S-B
D2
S-B
D3
S-B
D4
S-R
D1
S-R
D2
S-R
D3
S-R
D4
S-R
D5
. Gasoline . Diesel . Corn-EtOH . Switchgrass - EtOH . Biodiesel . Renewable Diesel .
GH
G E
mis
sion
s (g
/mm
Btu
)
.
PTWWTPWTW
Diesel
D M E $ P D E $ D M E $ $D M E H
Switchgrass to Ethanol Biodiesel Renewable Diesel
Gasoline
Corn Ethanol
D: Displacement M: Mass based E: Energy Based
$: Market Value P: Process Purpose H: Hybrid Alloca6on
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Co-Product Displacement of Equivalent Product
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Main Product
Emissions
Co‐Product
Process Fuel 1
Process Fuel 2
Process
Displaced Product Feed
Displacement of equivalent amount
Emissions (Credits)
Energy (Credits)
(Credit)
• Important Notes: • Main product carry the burden of all process energy and emissions
• Co‐product does not carry any burden
• Displaced product is iden6cal or equivalent to co‐product
• If not iden6cal, a displacement ra6o may apply
• All life‐cycle energy and emissions of the displaced product are credited to main product
• For large co‐product/main product ra6o, credits may overwhelm main process emissions
Feed
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Alloca;on of Process Energy and Emissions to Co‐Products
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Main Product (1‐x)
Emissions
Co‐Product (x)
Process Fuel 1
Process Fuel 2
Process • Important Notes:
• x is the ra6o of co‐product in all products by mass, energy, or market value
• Main product and co‐product carry energy and emissions burden based on their ra6os in the total products
• The main product and co‐product are equivalent (func6on at end use, quality, etc.)
• Same process efficiency applies to all products for energy alloca6on (implied)
x 1‐x
x 1‐x x
1‐x
Feed x
1‐x
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Main Effort and Challenge of LCAs: Data, Data, Data – General Data Sources for GREET
• Open literature: transparent but much varia6on in data quality • Process modeling (such as Argonne’s own ASPEN Plus and
Autonomie simula6ons): some6me specula6ve for yet developed commercial technologies
• Companies and technology developers: osen proprietary and less transparent
• Engagement of the whole community (LCA prac66oners, researchers, developers, agencies, etc.) and data source transparency are cri6cal
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Two Dis8nctly Different Uncertain8es in LCAs
• System uncertain6es • LCA methodology inconsistency: aPribu6onal vs. consequen6al • System boundary selec6on: a moving target • Treatment of co‐products • These issues cause inconsistencies among LCA studies and results
• Technical uncertain6es related to data availability and quality • Varia6on in input parameters and output results • Stochas6c simula6on feature is incorporated in GREET
• Model and LCA analysis transparency can help advance understanding and consensus building
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Sample GREET WTW Results for Selected Vehicle/Fuel Options: Fossil vs. GHGs
From Wang et al. (forthcoming )
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Sample GREET WTW Results for Selected Vehicle/Fuel Options: Petroleum vs. GHGs
From Wang et al. (forthcoming ) 1/31/2012
ESI Seminar, CAPD, Carnegie Mellon University
GREET Team at Argonne
11 staff on LCA research and GREET development – Dr. Michael Wang: group leader – Mr. Andy Burnham: vehicle cycle analysis, and natural gas pathways, and GREET user help – Dr. Corrie Clark: geothermal and shale gas process analysis and water resource/quality assessment – Dr. Jennifer Dunn: biofuels, soil carbon, baPeries, and GREET applica6ons – Dr. Amgad Elgowainy: hydrogen fuel vehicles, plug‐in electric vehicles, GREET development – Dr. Ed Frank: algae‐based biofuels, electric power genera6on systems – Dr. Jeongwoo Han: renewable natural gas, pyrolysis, vehicle technologies, GREET development – Ms. Marianne Mintz: renewable natural gas pathways – Dr. Ignasi Palou‐Rivera: biofuels and petroleum fuels process modeling and LCA applica;ons – Dr. John Sullivan: vehicle cycle analysis and geothermal and conven6onal power systems – Dr. May Wu: biofuels and water resource/quality assessment
Two post‐doctoral researchers on GREET LCA Four GREET .net programmers Other organiza6ons who help Argonne
– MassachusePs Ins6tute of Technology – Purdue University – University of Illinois at Chicago and at Urbana‐Champaign – University of Michigan at Ann Arbor – The Great Plains Ins6tute
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Extra Slides
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GREET Includes Many Biofuel Production Pathways
Soybeans to – Biodiesel – Renewable diesel – Renewable gasoline – Renewable jet fuel
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Ethanol via fermenta6on from Corn Sugarcane Cellulosic biomass
• Crop residues • Dedicated energy crops • Forest residues
Renewable natural gas from Landfill gas Anaerobic diges6on of
animal wastes
Cellulosic biomass via gasifica6on to Fischer‐Tropsch diesel Fischer‐Tropsch jet fuel
Corn to butanol
Cellulosic biomass via pyrolysis to Gasoline Diesel
Algae to Biodiesel Renewable diesel Renewable gasoline Renewable jet fuel
1/31/2012 ESI Seminar, CAPD, Carnegie Mellon University
Electricity Generation Systems in GREET
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Coal: Steam Boiler and IGCC Coal mining and cleaning Coal transporta6on Power genera6on
Natural Gas: Steam Boiler, Gas Turbine, and NGCC NG recovery and processing NG transmission Power genera6on
Residual Oil: Steam Boiler Oil recovery and transporta6on Oil refining Residual oil transporta6on Power genera6on
Nuclear: Light Water Reactor Uranium mining Yellowcake conversion Enrichment Fuel rod fabrica6on Power genera6on
Biomass: Steam Boiler Biomass farming and
harves6ng Biomass transporta6on Power genera6on
Wind Power
Hydro Power
Solar Power via Photovoltaics
Geothermal Power
Many Hydrogen Produc8on Pathways Are Included in GREET NA NG Central Plant Produc6on:
No C Sequestra6on C Sequestra6on NNA NG
NNA Flared Gas
Nuclear Energy
Biomass
Coal
Methanol Ethanol
Solar Energy
Electricity
Coke Oven Gas
Landfill Gas
Pet Coke
Central Plant Produc6on: HTGR H2O Splivng HTGR Electrolysis
Central Plant Produc6on: No C Sequestra6on C Sequestra6on
Central Plant Produc6on: No C Sequestra6on C Sequestra6on
Distributed Produc6on
Distributed Produc6on: LWR Electrolysis HTGR Electrolysis
Distributed Produc6on
Central Plant Produc6on via PV
Distributed Produc6on via Electrolysis
Central Plant Produc6on: No C Sequestra6on C Sequestra6on
Gaseous H2 Liquid H2
Gaseous H2 Liquid H2
Gaseous H2 Liquid H2
Gaseous H2 Liquid H2
Gaseous H2 Liquid H2
Gaseous H2 Liquid H2
Gaseous H2 Liquid H2
Gaseous H2 Liquid H2
Gaseous H2
Central Plant Produc6on
Central Plant Produc6on: Standalone Steam Co‐Genera6on Electric Co‐Genera6on
Central Plant Produc6on: Standalone Electric Co‐Genera6on
Central Plant Produc6on: Standalone Electric Co‐Genera6on
Central Plant Produc6on: Standalone Electric Co‐Genera6on
HTGR – High‐temp. gas‐cooled reactors LWR – light water reactors
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Key Steps to Address GHG Emissions of Potential Land Use Changes by Large-Scale Biofuel Production Simula6ons of poten6al land use changes (in collabora6on with Purdue)
– Significant efforts have been made in the past three years to improve exis6ng computa6onal general equilibrium (CGE) models
– More efforts are being made to address addi6onal biomass feedstocks
Carbon profiles of major land types (in collabora6on with UIC and UIUC) – Both above‐ground biomass and soil carbon are being considered – Of the available data sources, some are very detailed (e.g., the DAYCENT model) but
others are very coarse (e.g., the IPCC data) – There are mismatches between CGE simulated land types and land types in available
carbon databases: satellite data with ground truthing
What Is New in GREET1_2011?
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• Algae biofuel pathways, with the algae process descrip6on (APD) with detailed assump6ons of the key stages of the algae pathways
• Pyrolysis pathways from cellulosic biomass to renewable gasoline and diesel • Shale gas pathway and updated natural gas pathways • Renewable natural gas pathways from anaerobic diges6on of animal waste • Jet fuel pathways, including opera6on of various classes of commercial aircrass • Op6onal inclusion of energy uses and emissions associated with the construc6on of
petroleum and natural gas wells, coal mines, and various electric power genera6on systems
• Geothermal power plant op6ons, including both opera6on and construc6on phases • Updated petroleum recovery and refining efficiencies • Updated farming assump6ons for corn stover, forest residue, switchgrass,
sugarcane and soybean
Aviation Fuel Options in GREET1_2011
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Hydrotreated Renewable Jet Fuel Soybeans Palm Oil Rapeseeds Jatropha Camelina Algae
Passenger Aircrad Single Aisle Small Twin Aisle Large Twin Aisle Large Quad Regional Jet Business Jet
Freight Aircrad Single Aisle Small Twin Aisle Large Twin Aisle Large Quad
LCA Func;onal Units Per MJ of fuel Per kg‐km Per passenger‐km
Fuels and Feedstocks Aircrad Types Pyrolysis Oil Jet Fuel
Crop Residues Forest Residues Dedicated Energy Crops
Fischer‐Tropsch Jet Fuel North American Natural Gas Non‐North American Natural Gas Renewable Natural Gas Shale Gas Biomass via Gasifica;on Coal via Gasifica;on Coal/Biomass via Gasifica;on
(In collabora6on with MIT PARTNER)
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Near‐Future GREET Upgrades and Updates
• An upgraded CCLUB for biofuel LUC GHG emissions • Expansion on construc6on of fuels produc6on and distribu6on infrastructure • An upgraded and updated GREET2 vehicle cycle version
• A detailed baPery LCA module • Updated energy and emission profiles of key vehicle materials • A detailed module on vehicle assembling, disposal, and recycling
• Alpha and beta tes6ng of GREET .net version • Parallel development of GREET Excel and .net versions
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ESI Seminar, CAPD, Carnegie Mellon University