Modeling and analysis of a CNG residential refueling system

Hyo Joon Bang, Stephanie Stockar, Matteo Muratori, Giorgio Rizzoni

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    19 Scopus citations

    Abstract

    Natural gas has recently been proposed as an alternative fuel for transportation in the United States. Refueling infrastructure is the major technological barrier to the market penetration of passenger compressed natural gas (CNG) vehicles. Currently, there is about one natural gas refueling station every 150 gasoline pumps. Nevertheless, natural gas is widely available in American houses, and thus distributed residential refueling is seen as a viable solution. Generally, residential CNG refueling systems use compressors driven by electric motors. With a potential increase in the number of residential natural gas refueling systems over the next few years, the additional load that this system will introduce on the electric power infrastructure can be significant. In this paper, a system dynamic model of a residential refueling system has been developed and validated against data available in the literature. Ultimately, the model will allow for exploring the impact of residential refueling of CNG vehicles on the electric power infrastructure.

    Original languageEnglish (US)
    Title of host publicationIndustrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy
    PublisherAmerican Society of Mechanical Engineers
    ISBN (Electronic)9780791846209
    DOIs
    StatePublished - 2014
    EventASME 2014 Dynamic Systems and Control Conference, DSCC 2014 - San Antonio, United States
    Duration: Oct 22 2014Oct 24 2014

    Publication series

    NameASME 2014 Dynamic Systems and Control Conference, DSCC 2014
    Volume3

    Other

    OtherASME 2014 Dynamic Systems and Control Conference, DSCC 2014
    Country/TerritoryUnited States
    CitySan Antonio
    Period10/22/1410/24/14

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Mechanical Engineering
    • Industrial and Manufacturing Engineering

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