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

13 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 - Jan 1 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
CountryUnited 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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    Bang, H. J., Stockar, S., Muratori, M., & Rizzoni, G. (2014). Modeling and analysis of a CNG residential refueling system. In Industrial 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 (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 3). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2014-6160