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Title: Market Segmentation Analysis of Medium and Heavy Duty Trucks with a Fuel Cell Emphasis

Abstract

Medium and heavy duty truck market segmentation with a fuel cell emphasis focusing on total cost of ownership. Analysis is completed using FASTSim and the Scenario Evaluation and Regionalization Analysis model (SERA).

Authors:
ORCiD logo [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Fuel Cell Technologies Office (EE-3F)
OSTI Identifier:
1480918
Report Number(s):
NREL/PR-5400-71478
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the U.S. Department of Energy's Hydrogen and Fuel Cells Program 2018 Annual Merit Review and Peer Evaluation Meeting, 13-15 June 2018, Washington, D.C.
Country of Publication:
United States
Language:
English
Subject:
30 DIRECT ENERGY CONVERSION; 33 ADVANCED PROPULSION SYSTEMS; fuel cell; market segmentation; medium duty truck; heavy duty truck; systems analysis; FASTSIM; scenario evaluation; regionalization analysis; SERA; total cost of ownership

Citation Formats

Hunter, Chad. Market Segmentation Analysis of Medium and Heavy Duty Trucks with a Fuel Cell Emphasis. United States: N. p., 2018. Web.
Hunter, Chad. Market Segmentation Analysis of Medium and Heavy Duty Trucks with a Fuel Cell Emphasis. United States.
Hunter, Chad. Tue . "Market Segmentation Analysis of Medium and Heavy Duty Trucks with a Fuel Cell Emphasis". United States. https://www.osti.gov/servlets/purl/1480918.
@article{osti_1480918,
title = {Market Segmentation Analysis of Medium and Heavy Duty Trucks with a Fuel Cell Emphasis},
author = {Hunter, Chad},
abstractNote = {Medium and heavy duty truck market segmentation with a fuel cell emphasis focusing on total cost of ownership. Analysis is completed using FASTSim and the Scenario Evaluation and Regionalization Analysis model (SERA).},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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