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Title: Hydrogen Futures Simulation Model Elsevier Edition 2.2

Abstract

Hydrogen has the potential to become an integral part of our energy transportation and heat and power sectors in the coming decades and offers a possible solution to many of the problems associated with a heavy reliance on oil and other fossil fuels. The Hydrogen Futures Simulation Model (H2Sim) was developed to provide a high level, internally consistent, strategic tool for evaluating the economic and environmental trade offs of alternative hydrogen production. storage, transport and end use options in the year 2020. Based on the model’s default assumptions, estimated hydrogen production costs range from 0.68 $!kg for coal gasification to as high as 5.64$! kg for centralized electrolysis using solar PV. Coal gasification remains the least cost option if carbon capture and sequestration costs ($0.16/kg) are added. This result is fairly robust: for example, assumed coal prices would have to more than triple or the assumed capital cost would have to increase by more than 2.5 times for natural gas reformation to become the cheaper option. Alternatively, assumed natural gas prices would have to fall below $2/MBtu to compete with coal gasification. The electrolysis results are highly sensitive to electricity costs, but electrolysis only becomes cost competitive with other optionsmore » when electricity drops below 1 cent/ kWhr. Delivered 2020 hydrogen costs are likely to be double the estimated production costs due to the inherent difficulties associated with storing, transporting, and dispensing hydrogen due to its low volumetric density. H2Sim estimates distribution costs ranging from 1.37 5/kg (low distance, low production) to 3.23 s/kg (long distance, high production volumes, carbon sequestration). Distributed hydrogen production options, such as on site natural gas, would avoid some of these costs. H2Sim compares the expected 2020 per mile driving costs (fuel, capital, maintenance, license, and registration) of current technology internal combustion engine (ICE) vehicles (0.55$/mile), hybrids (0.56 S/mile), and electric vehicles (0.82-0.84 5/mile) with 2020 fuel cell vehicles (FCV5) (0.64-0.66 s/mile), fuel cell vehicles with onboard gasoline reformation (FCVOB) (0.70 S/mile), and direct combustion hydrogen hybrid vehicles (H2Hybrid) (0.55-0.59 s/mile). The results suggests that while the H2Hybrid vehicle may be competitive with ICE vehicles, it will be difficult for the FCV to compete without significant increases in gasoline prices, reduced predicted vehicle costs, stringent carbon policies, or unless they can offer the consumer something existing vehicles can not, such as on demand power, lower emissions, or better performance.« less

Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
1230888
Report Number(s):
H2SIMV2.2; 001722IBMPC02
Resource Type:
Software
Software Revision:
02
Software Package Number:
001722
Software Package Contents:
Media Directory; Software Abstract; Media includes Source Code, Executable Modules, Sample Problem Input Data, Installation instructions, Sample Problem Output Data, Program Flow Diagram and Other\1CD Rom
Software CPU:
IBMPC
Open Source:
No
Source Code Available:
Yes
Country of Publication:
United States

Citation Formats

. Hydrogen Futures Simulation Model Elsevier Edition 2.2. Computer software. Vers. 02. USDOE. 9 Mar. 2006. Web.
. (2006, March 9). Hydrogen Futures Simulation Model Elsevier Edition 2.2 (Version 02) [Computer software].
. Hydrogen Futures Simulation Model Elsevier Edition 2.2. Computer software. Version 02. March 9, 2006.
@misc{osti_1230888,
title = {Hydrogen Futures Simulation Model Elsevier Edition 2.2, Version 02},
author = {},
abstractNote = {Hydrogen has the potential to become an integral part of our energy transportation and heat and power sectors in the coming decades and offers a possible solution to many of the problems associated with a heavy reliance on oil and other fossil fuels. The Hydrogen Futures Simulation Model (H2Sim) was developed to provide a high level, internally consistent, strategic tool for evaluating the economic and environmental trade offs of alternative hydrogen production. storage, transport and end use options in the year 2020. Based on the model’s default assumptions, estimated hydrogen production costs range from 0.68 $!kg for coal gasification to as high as 5.64$! kg for centralized electrolysis using solar PV. Coal gasification remains the least cost option if carbon capture and sequestration costs ($0.16/kg) are added. This result is fairly robust: for example, assumed coal prices would have to more than triple or the assumed capital cost would have to increase by more than 2.5 times for natural gas reformation to become the cheaper option. Alternatively, assumed natural gas prices would have to fall below $2/MBtu to compete with coal gasification. The electrolysis results are highly sensitive to electricity costs, but electrolysis only becomes cost competitive with other options when electricity drops below 1 cent/ kWhr. Delivered 2020 hydrogen costs are likely to be double the estimated production costs due to the inherent difficulties associated with storing, transporting, and dispensing hydrogen due to its low volumetric density. H2Sim estimates distribution costs ranging from 1.37 5/kg (low distance, low production) to 3.23 s/kg (long distance, high production volumes, carbon sequestration). Distributed hydrogen production options, such as on site natural gas, would avoid some of these costs. H2Sim compares the expected 2020 per mile driving costs (fuel, capital, maintenance, license, and registration) of current technology internal combustion engine (ICE) vehicles (0.55$/mile), hybrids (0.56 S/mile), and electric vehicles (0.82-0.84 5/mile) with 2020 fuel cell vehicles (FCV5) (0.64-0.66 s/mile), fuel cell vehicles with onboard gasoline reformation (FCVOB) (0.70 S/mile), and direct combustion hydrogen hybrid vehicles (H2Hybrid) (0.55-0.59 s/mile). The results suggests that while the H2Hybrid vehicle may be competitive with ICE vehicles, it will be difficult for the FCV to compete without significant increases in gasoline prices, reduced predicted vehicle costs, stringent carbon policies, or unless they can offer the consumer something existing vehicles can not, such as on demand power, lower emissions, or better performance.},
doi = {},
year = {Thu Mar 09 00:00:00 EST 2006},
month = {Thu Mar 09 00:00:00 EST 2006},
note =
}

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  • No abstract prepared.
  • The Hydrogen Futures Simulation Model (H{sub 2}Sim) is a high level, internally consistent, strategic tool for exploring the options of a hydrogen economy. Once the user understands how to use the basic functions, H{sub 2}Sim can be used to examine a wide variety of scenarios, such as testing different options for the hydrogen pathway, altering key assumptions regarding hydrogen production, storage, transportation, and end use costs, and determining the effectiveness of various options on carbon mitigation. This User's Guide explains how to run the model for the first time user.
  • Hydrogen has the potential to become an integral part of our energy transportation and heat and power sectors in the coming decades and offers a possible solution to many of the problems associated with a heavy reliance on oil and other fossil fuels. The Hydrogen Futures Simulation Model (H2Sim) was developed to provide a high level, internally consistent, strategic tool for evaluating the economic and environmental trade offs of alternative hydrogen production, storage, transport and end use options in the year 2020. Based on the model's default assumptions, estimated hydrogen production costs range from 0.68 $/kg for coal gasification tomore » as high as 5.64 $/kg for centralized electrolysis using solar PV. Coal gasification remains the least cost option if carbon capture and sequestration costs ($0.16/kg) are added. This result is fairly robust; for example, assumed coal prices would have to more than triple or the assumed capital cost would have to increase by more than 2.5 times for natural gas reformation to become the cheaper option. Alternatively, assumed natural gas prices would have to fall below $2/MBtu to compete with coal gasification. The electrolysis results are highly sensitive to electricity costs, but electrolysis only becomes cost competitive with other options when electricity drops below 1 cent/kWhr. Delivered 2020 hydrogen costs are likely to be double the estimated production costs due to the inherent difficulties associated with storing, transporting, and dispensing hydrogen due to its low volumetric density. H2Sim estimates distribution costs ranging from 1.37 $/kg (low distance, low production) to 3.23 $/kg (long distance, high production volumes, carbon sequestration). Distributed hydrogen production options, such as on site natural gas, would avoid some of these costs. H2Sim compares the expected 2020 per mile driving costs (fuel, capital, maintenance, license, and registration) of current technology internal combustion engine (ICE) vehicles (0.55$/mile), hybrids (0.56 $/mile), and electric vehicles (0.82-0.84 $/mile) with 2020 fuel cell vehicles (FCVs) (0.64-0.66 $/mile), fuel cell vehicles with onboard gasoline reformation (FCVOB) (0.70 $/mile), and direct combustion hydrogen hybrid vehicles (H2Hybrid) (0.55-0.59 $/mile). The results suggests that while the H2Hybrid vehicle may be competitive with ICE vehicles, it will be difficult for the FCV to compete without significant increases in gasoline prices, reduced predicted vehicle costs, stringent carbon policies, or unless they can offer the consumer something existing vehicles can not, such as on demand power, lower emissions, or better performance.« less
  • The nuclear fuel cycle consists of a set of complex components that are intended to work together. To support the nuclear renaissance, it is necessary to understand the impacts of changes and timing of events in any part of the fuel cycle system such as how the system would respond to each technological change, a series of which moves the fuel cycle from where it is to a postulated future state. The system analysis working group of the United States research program on advanced fuel cycles (formerly called the Advanced Fuel Cycle Initiative) is developing a dynamic simulation model, VISION,more » to capture the relationships, timing, and changes in and among the fuel cycle components to help develop an understanding of how the overall fuel cycle works. This paper is an overview of the philosophy and development strategy behind VISION. The paper includes some descriptions of the model components and some examples of how to use VISION. For example, VISION users can now change yearly the selection of separation or reactor technologies, the performance characteristics of those technologies, and/or the routing of material among separation and reactor types - with the model still operating on a PC in <5 min.« less

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