skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Hydrogen Analysis with the Sandia ParaChoice Model.

Abstract

In the coming decades, light-duty vehicle options and their supporting infrastructure must undergo significant transformations to achieve aggressive national targets for reducing petroleum consumption and lowering greenhouse gas emissions. FCEVs, battery and hybrid electric vehicles, and biofuels are among the promising advanced technology options. This project examines the market penetration of FCEVs in a range of market segments, and in different energy, technology, and policy futures. Analyses are conducted in the context of varying hydrogen production and distribution pathways, as well as public infrastructure availability, fuel (gasoline, ethanol, hydrogen) and electricity costs, vehicle costs and fuel economies to better understand under what conditions, and for which market segments, FCEVs can best compete with battery electric and other alternative fuel vehicles.

Authors:
 [1];  [1]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Fuel Cell Technologies Office (EE-3F)
OSTI Identifier:
1373643
Report Number(s):
SAND-2017-7762R
655636
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY

Citation Formats

Levinson, Rebecca Sobel, and West, Todd H. Hydrogen Analysis with the Sandia ParaChoice Model.. United States: N. p., 2017. Web. doi:10.2172/1373643.
Levinson, Rebecca Sobel, & West, Todd H. Hydrogen Analysis with the Sandia ParaChoice Model.. United States. doi:10.2172/1373643.
Levinson, Rebecca Sobel, and West, Todd H. 2017. "Hydrogen Analysis with the Sandia ParaChoice Model.". United States. doi:10.2172/1373643. https://www.osti.gov/servlets/purl/1373643.
@article{osti_1373643,
title = {Hydrogen Analysis with the Sandia ParaChoice Model.},
author = {Levinson, Rebecca Sobel and West, Todd H.},
abstractNote = {In the coming decades, light-duty vehicle options and their supporting infrastructure must undergo significant transformations to achieve aggressive national targets for reducing petroleum consumption and lowering greenhouse gas emissions. FCEVs, battery and hybrid electric vehicles, and biofuels are among the promising advanced technology options. This project examines the market penetration of FCEVs in a range of market segments, and in different energy, technology, and policy futures. Analyses are conducted in the context of varying hydrogen production and distribution pathways, as well as public infrastructure availability, fuel (gasoline, ethanol, hydrogen) and electricity costs, vehicle costs and fuel economies to better understand under what conditions, and for which market segments, FCEVs can best compete with battery electric and other alternative fuel vehicles.},
doi = {10.2172/1373643},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month = 7
}

Technical Report:

Save / Share:
  • Abstract not provided.
  • Abstract not provided.
  • Analysis with the ParaChoice model addresses three barriers from the VTO Multi-Year Program Plan: availability of alternative fuels and electric charging station infrastructure, availability of AFVs and electric drive vehicles, and consumer reluctance to purchase new technologies. In this fiscal year, we first examined the relationship between the availability of alternative fuels and station infrastructure. Specifically, we studied how electric vehicle charging infrastructure affects the ability of EVs to compete with vehicles that rely on mature, conventional petroleum-based fuels. Second, we studied how the availability of less costly AFVs promotes their representation in the LDV fleet. Third, we used ParaChoicemore » trade space analyses to help inform which consumers are reluctant to purchase new technologies. Last, we began analysis of impacts of alternative energy technologies on Class 8 trucks to isolate those that may most efficaciously advance HDV efficiency and petroleum use reduction goals.« less
  • This report describes part of Phase 3 of the project ''Methods for Ultimate Load Analysis of Concrete Containments.'' As part of the overall objectives to develop a qualified analysis methodology for concrete containment structures, this phase of the research utilizes analytical techniques which have been developed and verified in Phases 1 and 2 to perform comprehensive detailed analyses of the Sandia 1:6 scale reinforced containment model. The EPRI-sponsored finite element code, ABAQUS-EPGEN, and the concrete constitutive model developed previously are the analysis tools used in this research. A comprehensive set of a pre-test predictions were developed in 1986 and 1987more » including a series of 2D analyses to identify critical regions, and a number of 3D local analyses to characterize 3D response components. These predictions were compiled and reported to EPRI prior to the test but have remained unpublished until their inclusion in the current report. This material is included here as an Appendix; the predictions based on this work successfully predicted the leakage pressure and many of the liner tearing locations that occurred in the test. The main report compares the pretest calculations to the test results, and it describes several post-test analyses, including axisymmetric analyses to investigate basemat uplift behavior, and the effect of changing concrete tensile strength and a 3D local analysis that studies the behavior at the largest liner tear that occurred. Conclusions of the paper access the analytical methodology in light of the test results. 20 refs., 59 figs.« less
  • This report describes the results of a Cooperative Research and Development Agreement between Sandia National Laboratories and Kaiser Permanente Southern California to develop a prototype computer model of Kaiser Permanente`s health care delivery system. As a discrete event simulation, SimHCO models for each of 100,000 patients the progression of disease, individual resource usage, and patient choices in a competitive environment. SimHCO is implemented in the object-oriented programming language C{sup 2}, stressing reusable knowledge and reusable software components. The versioned implementation of SimHCO showed that the object-oriented framework allows the program to grow in complexity in an incremental way. Furthermore, timingmore » calculations showed that SimHCO runs in a reasonable time on typical workstations, and that a second phase model will scale proportionally and run within the system constraints of contemporary computer technology.« less