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Title: Heavy Duty Vehicle Futures Analysis.

Abstract

This report describes work performed for an Early Career Research and Development project. This project developed a heavy-duty vehicle (HDV) sector model to assess the factors influencing alternative fuel and efficiency technology adoption. This model builds on a Sandia light duty vehicle sector model and provides a platform for assessing potential impacts of technological advancements developed at the Combustion Research Facility. Alternative fuel and technology adoption modeling is typically developed around a small set of scenarios. This HDV sector model segments the HDV sector and parameterizes input values, such as fuel prices, efficiencies, and vehicle costs. This parameterization enables sensitivity and trade space analyses to identify the inputs that are most associated with outputs of interest, such as diesel consumption and greenhouse gas emissions. Thus this analysis tool enables identification of the most significant HDV sector drivers that can be used to support energy security and climate change goals.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1139981
Report Number(s):
SAND2014-4448
521497
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Askin, Amanda Christine, Barter, Garrett., West, Todd H., and Manley, Dawn Kataoka. Heavy Duty Vehicle Futures Analysis.. United States: N. p., 2014. Web. doi:10.2172/1139981.
Askin, Amanda Christine, Barter, Garrett., West, Todd H., & Manley, Dawn Kataoka. Heavy Duty Vehicle Futures Analysis.. United States. https://doi.org/10.2172/1139981
Askin, Amanda Christine, Barter, Garrett., West, Todd H., and Manley, Dawn Kataoka. 2014. "Heavy Duty Vehicle Futures Analysis.". United States. https://doi.org/10.2172/1139981. https://www.osti.gov/servlets/purl/1139981.
@article{osti_1139981,
title = {Heavy Duty Vehicle Futures Analysis.},
author = {Askin, Amanda Christine and Barter, Garrett. and West, Todd H. and Manley, Dawn Kataoka},
abstractNote = {This report describes work performed for an Early Career Research and Development project. This project developed a heavy-duty vehicle (HDV) sector model to assess the factors influencing alternative fuel and efficiency technology adoption. This model builds on a Sandia light duty vehicle sector model and provides a platform for assessing potential impacts of technological advancements developed at the Combustion Research Facility. Alternative fuel and technology adoption modeling is typically developed around a small set of scenarios. This HDV sector model segments the HDV sector and parameterizes input values, such as fuel prices, efficiencies, and vehicle costs. This parameterization enables sensitivity and trade space analyses to identify the inputs that are most associated with outputs of interest, such as diesel consumption and greenhouse gas emissions. Thus this analysis tool enables identification of the most significant HDV sector drivers that can be used to support energy security and climate change goals.},
doi = {10.2172/1139981},
url = {https://www.osti.gov/biblio/1139981}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu May 01 00:00:00 EDT 2014},
month = {Thu May 01 00:00:00 EDT 2014}
}