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Systematic Selection and Siting of Vehicle Fueling Infrastructure to Synergistically Meet Future Demands for Alternative Fuels

[+] Author Affiliations
Peter J. Willette, G. Scott Samuelsen, Brendan Shaffer

University of California, Irvine, CA

Paper No. ES2014-6452, pp. V002T04A008; 12 pages
doi:10.1115/ES2014-6452
From:
  • ASME 2014 8th International Conference on Energy Sustainability collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology
  • Volume 2: Economic, Environmental, and Policy Aspects of Alternate Energy; Fuels and Infrastructure, Biofuels and Energy Storage; High Performance Buildings; Solar Buildings, Including Solar Climate Control/Heating/Cooling; Sustainable Cities and Communities, Including Transportation; Thermofluid Analysis of Energy Systems, Including Exergy and Thermoeconomics
  • Boston, Massachusetts, USA, June 30–July 2, 2014
  • Conference Sponsors: Advanced Energy Systems Division
  • ISBN: 978-0-7918-4587-5
  • Copyright © 2014 by ASME

abstract

In order to meet the increasing demand for low carbon and renewable transportation fuels, a methodology for systematically establishing build-out scenarios is desirable. In an effort to minimize initial investment costs associated with the development of fueling infrastructure, the Analytical Hierarch Process (AHP) has been developed and applied, as an illustration, to the case of hydrogen fueling infrastructure deployment in the State of California. In this study, five parameters are selected in order to rank hydrogen transportation fuel generation locations within the State. The weighting parameters include: 1) Proximity to Power Generation Facilities, 2) Lowest Land Cost, 3) Least Populous, 4) Proximity to Existing Energy Infrastructure, and 5) Water Infrastructure Proximity. These parameters are selected to maximize land availability and minimize cost. In order to utilize meaningful weighting factors within the AHP, expert inputs were gathered and employed in the exercising of the models suite of weighting parameters. The analysis uses statewide geographic information obtained from the California Energy Commission and identifies both key energy infrastructure expansion locations and critical criteria that make the largest impact in the location of selected sites.

Copyright © 2014 by ASME
Topics: Fuels , Vehicles

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