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Critical Factors in the Development of Well-To-Wheel Analyses of Alternative Fuel and Advanced Powertrain Heavy-Duty Vehicles Argonne National Laboratory

SAE Technical Papers (1906-current) Available online

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Format:
Conference/Event
Contributor:
Burnham, Andrew
Cai, Hao
Wang, Michael
Conference Name:
SAE 2016 World Congress and Exhibition (2016-04-12 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2016
Summary:
A heavy-duty vehicle (HDV) module of the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREETTM) model has been developed at Argonne National Laboratory. The fuel-cycle GREET model has been published extensively and contains data on fuel-cycles and vehicle operation of light-duty vehicles. The addition of the HDV module to the GREET model allows for well-to-wheel (WTW) analyses of heavy-duty advanced technology and alternative fuel vehicles (AFVs), which has been lacking in the literature. WTW analyses of HDVs becomes increasingly important to understand the fuel consumption and greenhouse gas (GHG) emissions impacts of newly enacted and future HDV regulations from the Environmental Protection Agency and the Department of Transportation's National Highway Traffic Safety Administration.This paper introduces the new GREET HDV module, which allows for the analysis of fuel consumption, GHG emissions, and air pollutant emissions of 12 conventional (id est diesel and/or gasoline) HDV types, including combination long-haul freight trucks, refuse trucks, single-unit delivery trucks, transit buses, and school buses. In addition, the HDV module includes 10 AFVs, including biodiesel, ethanol, natural gas, propane, and hybrid electric, that are currently being either demonstrated or deployed in the United States. Using diesel, gasoline, and natural gas HDVs as examples, we identify the key drivers in HDV WTW analysis including HDV duty-cycle, fuel economy, functional units, and vehicle emission factors
Notes:
Vendor supplied data
Publisher Number:
2016-01-1284
Access Restriction:
Restricted for use by site license

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