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The Hydrogen Futures Simulation Model (H2Sim) is a user-friendly,
high-level dynamic simulation model that calculates the production, storage,
delivery,
and end use costs associated with a future hydrogen economy. The model
allows the user to conduct detailed analysis on key assumptions. Likely
users of this model include executives and staff in the Congress, the Administration
and private industry (car manufacturers, hydrogen production and transport
companies). The model seeks to improve understanding of the economic viability
and emission trade-offs of all stages of potential hydrogen pathways. |
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The
Alternative Liquid Fuels Simulation Model (AltSim) is a high-level
dynamic simulation model which calculates and compares the production
costs, carbon dioxide emissions, and energy balances of several alternative
liquid transportation fuels. These fuels include: corn ethanol, cellulosic
ethanol, biodiesel, and diesels derived from natural gas (gas to liquid,
or GTL) and coal (coal to liquid, or CTL). AltSim allows for comprehensive
sensitivity analyses of capital costs, operation and maintenance costs,
renewable and fossil fuel feedstock costs, feedstock conversion efficiency,
financial assumptions, tax credits, CO2 taxes, and plant capacity factor.
AltSim also includes several policy tools, which examine land use requirements
for corn, CO2 pricing, and ethanol tax credits. The model is useful to
executives and staff in the Congress, the Administration and private
industry for understanding the economic viability, sustainability, and
current feasibility of various liquid transportation fuels. |

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The Electricity Generation Cost Simulation Model (GenSim) is a user-friendly,
high-level dynamic simulation model that calculates electricity production
costs for variety of electricity generation technologies. The model allows
the user to quickly conduct sensitivity analysis on key variables, including:
capital, O&M, and fuel costs; interest rates; construction time; and
capacity factors. The model also includes consideration of a wide range
of externality costs and pollution control options for carbon dioxide,
nitrogen oxides, sulfur dioxide, and mercury. Likely users of this model
include executives and staff in the Congress, the Administration and private
industry (power plant builders, industrial electricity users and electric
utilities). The model seeks to improve understanding of the economic viability
of various generating technologies and their emissions trade-offs. |