• DocumentCode
    634795
  • Title

    HomeSim: Comprehensive, smart, residential electrical energy simulation and scheduling

  • Author

    Venkatesh, Jagannathan ; Aksanli, Baris ; Junqua, Jean-Claude ; Morin, P. ; Rosing, Tajana Simunic

  • Author_Institution
    Univ. of California, San Diego, La Jolla, CA, USA
  • fYear
    2013
  • fDate
    27-29 June 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Residential energy constitutes 38% of the total energy consumption in the United States [1]. Although a number of building simulators have been proposed, there are no residential electrical energy simulators capable of modeling complex scenarios and exploring the tradeoffs in home energy management. We propose HomeSim, a residential electrical energy simulation platform that enables investigating the impact of technologies such as renewable energy and different battery types. Additionally, HomeSim allows us to simulate different scenarios including centralized vs. distributed in-home energy storage, intelligent appliance rescheduling, and outage management. Using measured residential data, HomeSim quantifies different benefits for different technologies and scenarios, including up to 50% reduction in grid energy through a combination of distributed batteries and reschedulable appliances.
  • Keywords
    battery storage plants; building management systems; digital simulation; domestic appliances; energy management systems; power consumption; power engineering computing; power grids; renewable energy sources; HomeSim; United States; battery types; building simulators; centralized in-home energy storage; distributed batteries; distributed in-home energy storage; grid energy reduction; home energy management; intelligent appliance rescheduling; outage management; renewable energy; reschedulable appliances; residential electrical energy simulation platform; residential electrical energy simulators; total energy consumption; Batteries; Discharges (electric); Energy consumption; Green products; Home appliances; Load modeling; Schedules; Smart grids; green energy; residential energy management; smart scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference (IGCC), 2013 International
  • Conference_Location
    Arlington, VA
  • Type

    conf

  • DOI
    10.1109/IGCC.2013.6604479
  • Filename
    6604479