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An Analysis of Near-Term Hydrogen Vehicle Rollout Scenarios for Southern California

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  • Nicholas, Michael A
  • Ogden, J

Abstract

There is rapid, ongoing progress in development of both fuel cell vehicle technology, and hydrogen refueling systems. Although hydrogen and fuel cell vehicles are not yet ready for full commercial deployment, they are ready to take the next step toward commercialization. This is widely seen as a “networked demonstration” in a localized region or “lighthouse city,” involving hundreds to thousands of vehicles and an early network of tens of refueling stations. Because of California’s ZEV regulation, Southern California has been proposed as an ideal site for this early introduction of hydrogen vehicles and is a major focus of interest worldwide. Developing a successful early hydrogen refueling network in Southern California, even at the relatively small scale envisioned for 2009-2017, requires a coordinated strategy, where vehicles and stations are introduced together. A major question is how many stations to build, what type of stations, and where to locate them. Key concerns include fuel accessibility, customer convenience, quality of refueling experience, network reliability, cost, and technology choice. In this paper, a strategy of “clustering” is explored. Clustering refers to the focused introduction of hydrogen vehicles in defined geographic areas such as smaller cities (e.g. Santa Monica, Irvine) within a larger region (e.g. LA Basin). By focusing initial customers in a few small areas, station infrastructure can be similarly focused, reducing the number of stations necessary to achieve a given level of convenience as measured by the travel time from home to the nearest station and “diversion time” explained later. We evaluate the potential for clustering to improve customer convenience, reduce refueling network costs, and enhance system reliability.

Suggested Citation

  • Nicholas, Michael A & Ogden, J, 2010. "An Analysis of Near-Term Hydrogen Vehicle Rollout Scenarios for Southern California," Institute of Transportation Studies, Working Paper Series qt92b440q8, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt92b440q8
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    References listed on IDEAS

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    1. Yang, Christopher & Ogden, Joan M, 2007. "Determining the lowest-cost hydrogen delivery mode," Institute of Transportation Studies, Working Paper Series qt1804p4vw, Institute of Transportation Studies, UC Davis.
    2. Yang, Christopher & Ogden, Joan M, 2007. "Determining the lowest-cost hydrogen delivery mode," Institute of Transportation Studies, Working Paper Series qt7p3500g2, Institute of Transportation Studies, UC Davis.
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    4. Weinert, Jonathan X. & Lipman, Timothy, 2006. "An Assessment of the Near-Term Costs of Hydrogen Refueling Stations and Station Components," Institute of Transportation Studies, Working Paper Series qt65f0n732, Institute of Transportation Studies, UC Davis.
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    6. Lipman, T E & Weinert, Jonathan X., 2006. "An Assessment of the Near-Term Costs of Hydrogen Refueling Stations and Station Components," Institute of Transportation Studies, Working Paper Series qt51c0937x, Institute of Transportation Studies, UC Davis.
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    1. Ogden, Joan & Nicholas, Michael, 2011. "Analysis of a "cluster" strategy for introducing hydrogen vehicles in Southern California," Energy Policy, Elsevier, vol. 39(4), pages 1923-1938, April.
    2. Li, Xuping, 2012. "Understanding the Design and Performance of Distributed Tri-Generation Systems for Home and Neighborhood Refueling," Institute of Transportation Studies, Working Paper Series qt0h87d4sm, Institute of Transportation Studies, UC Davis.
    3. Li, Lei & Al Chami, Zaher & Manier, Hervé & Manier, Marie-Ange & Xue, Jian, 2021. "Incorporating fuel delivery in network design for hydrogen fueling stations: Formulation and two metaheuristic approaches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    4. Matteo Muratori & Brian Bush & Chad Hunter & Marc W. Melaina, 2018. "Modeling Hydrogen Refueling Infrastructure to Support Passenger Vehicles †," Energies, MDPI, vol. 11(5), pages 1-14, May.
    5. Lin, Zhenhong & Ou, Shiqi & Elgowainy, Amgad & Reddi, Krishna & Veenstra, Mike & Verduzco, Laura, 2018. "A method for determining the optimal delivered hydrogen pressure for fuel cell electric vehicles," Applied Energy, Elsevier, vol. 216(C), pages 183-194.

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