• DocumentCode
    597144
  • Title

    Infrastructure and forecasting models for integrating Natural Gas Grid within smart grids

  • Author

    Gabbar, Hossam A. ; Ayoub, N.M.

  • Author_Institution
    Inst. of Technol., Fac. of Energy Syst. & Nucl. Sci., Univ. of Ontario, Oshawa, ON, Canada
  • fYear
    2012
  • fDate
    27-29 Aug. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Almost all the current literature is focused on smart grids as a neat way to manage power generation and its delivery. This trend was acceptable in the period of idea generation and development; however in the delivery phase, we will have to further extend the concept and broaden its application. The smart grids should consider more energy related applications, e.g., including and monitoring the Natural Gas Grid and enhancing their role in supporting peak load shifting applications within the smart grid. This paper shares the current efforts for promoting smart grid concept by investigating integration of gas grid into smart power grids. Three ways for potential integration; in addition to PHEVs, and possible energy grid architecture, were presented. The importance of forecasting models on the energy grid infrastructure development and its infrastructure requirements were elaborated.
  • Keywords
    natural gas technology; power system simulation; smart power grids; PHEV; delivery phase; energy grid architecture; energy grid infrastructure development; energy related applications; forecasting models; infrastructure requirements; natural gas grid; peak load shifting applications; power generation; smart power grids; Biological system modeling; Electricity; Forecasting; Home appliances; Natural gas; Predictive models; Smart grids; Forecasting models; Grid infrastructure model; Smart energy grid; Smart grid; gas grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Engineering (SGE), 2012 IEEE International Conference on
  • Conference_Location
    Oshawa, ON
  • Print_ISBN
    978-1-4673-4457-9
  • Electronic_ISBN
    978-1-4673-4456-2
  • Type

    conf

  • DOI
    10.1109/SGE.2012.6463972
  • Filename
    6463972