The deviation-flow refueling location model for optimizing a network of refueling stations

Jong Geun Kim, Michael Kuby

Research output: Contribution to journalArticlepeer-review

142 Scopus citations

Abstract

This research develops and applies a mixed-integer linear programming model that optimizes the locations of fueling stations considering not only the limited driving range of vehicles but also the necessary deviations that drivers are likely to make from their shortest paths in order to refuel their vehicles when the refueling station network is sparse. The Deviation-Flow Refueling Location Model (DFRLM) locates facilities to maximize the total flows refueled on deviation paths. The flow demand captured by the stations is assumed to decrease as the deviation that drivers must make increases. Test results indicate that the maximum allowable deviation and the specific deviation penalty functional form do have a measurable effect on the optimal locations of facilities and objective function values as well.

Original languageEnglish (US)
Pages (from-to)5406-5420
Number of pages15
JournalInternational Journal of Hydrogen Energy
Volume37
Issue number6
DOIs
StatePublished - Mar 1 2012

Keywords

  • Deviation
  • Intercepting
  • Location
  • Model
  • Optimal
  • Station

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology

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