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Currently, several cost-per-mile calculators exist that can provide estimates of acquisition and operating costs for consumers and fleets. However, these calculators are limited in their ability to determine the difference in cost per mile for consumer versus fleet ownership, to calculate the costs beyond one ownership period, to show the sensitivity of the cost per mile to the annual vehicle miles traveled (VMT), and to estimate future increases in operating and ownership costs. Oftentimes, these tools apply a constant percentage increase over the time period of vehicle operation, or in some cases, no increase in direct costs at all over time. A more accurate cost-per-mile calculator has been developed that allows the user to analyze these costs for both consumers and fleets. Operating costs included in the calculation tool include fuel, maintenance, tires, and repairs; ownership costs include insurance, registration, taxes and fees, depreciation, financing, and tax credits. The calculator was developed to allow simultaneous comparisons of conventional light-duty internal combustion engine (ICE) vehicles, mild and full hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). Additionally, multiple periods of operation, as well as three different annual VMT values for both the consumer case and fleets can be investigated to the year 2024. These capabilities were included since today's "cost to own" calculators typically include the ability to evaluate only one VMT value and are limited to current model year vehicles. The calculator allows the user to select between default values or user-defined values for certain inputs including fuel cost, vehicle fuel economy, manufacturer's suggested retail price (MSRP) or invoice price, depreciation and financing rates. 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT UL 18. NUMBER OF PAGES 19a. NAME OF RESPONSIBLE PERSON a. REPORT

Each combination of technologies necessary to produce, deliver, and distribute hydrogen for transportation use has a corresponding levelized cost, energy requirement, and greenhouse gas emission profile depending upon the technologies’ efficiencies and costs. Understanding the technical status, potential, and tradeoffs is necessary to properly allocate research and development (R&D) funding. In this paper, levelized delivered hydrogen costs, pathway energy use, and well-to-wheels (WTW) energy use and emissions are reported for multiple hydrogen production, delivery, and distribution pathways. Technologies analyzed include both central and distributed reforming of natural gas and electrolysis of water, and central hydrogen production from biomass and coal. Delivery options analyzed include trucks carrying liquid hydrogen and pipelines carrying gaseous hydrogen. Projected costs, energy use, and emissions for current technologies (technology that has been developed to at least the bench-scale, extrapolated to commercial-scale) are reported. Results compare favorably with those for gasoline, diesel, and E85 used in current internal combustion engine (ICE) vehicles, gasoline hybrid electric vehicles (HEVs), and flexible fuel vehicles. Sensitivities of pathway cost, pathway energy use, WTW energy use, and WTW emissions to important primary parameters were examined as an aid in understanding the benefits of various options. Sensitivity studies on production process energy efficiency, total production process capital investment, feed stock cost, production facility operating capacity, electricity grid mix, hydrogen vehicle market penetration, distance from the hydrogen production facility to city gate, and other parameters are reported. The Hydrogen Macro-System Model (MSM) was used for this analysis. The MSM estimates the cost, energy use, and emissions trade offs of various hydrogen production, delivery, and distribution pathways under consideration. The MSM links the H2A Production Model, the Hydrogen Delivery Scenario Analysis Model (HDSAM), and the Greenhouse Gas, Regulated Emission, and Energy for Transportation (GREET) Model. The MSM utilizes the capabilities of each component model and ensures the use of consistent parameters between the models to enable analysis of full hydrogen production, delivery, and distribution pathways. To better understand spatial aspects of hydrogen pathways, the MSM is linked to the Hydrogen Demand and Resource Analysis Tool (HyDRA). The MSM is available to the public and enables users to analyze the pathways and complete sensitivity analyses.