• DocumentCode
    2775958
  • Title

    Demand Side Management potential of refrigerators with different energy classes

  • Author

    Zehir, M. Alparslan ; Bagriyanik, Mustafa

  • Author_Institution
    Dept. of Electr. Eng., Istanbul Tech. Univ., Istanbul, Turkey
  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Power systems of today have several problems such as growing demand and fluctuations in energy consumption. Demand Side Management as a subtopic of Smart Grid provides various solutions to these problems. Intelligent Load Control has a great potential for load shifting and savings if used together with thermostatic loads. Cooling systems, especially refrigerators, mostly have a big ratio in residential energy consumption. Refrigerators with close parameters, similar working environments and periodic working schedules can provide accurate estimations of energy consumption with simulations. In this study, DSM potential of two refrigerators with different energy efficiency classes is analyzed. By using a refrigerator model and the measurements collected from real devices, achievable percentage of demand change in peak times and savings in annual electricity bills are estimated. The study showed that with multiple pricing and load control, annual electricity costs of refrigerators can be reduced by 12.60 to 14.78%, while decreasing demand in peak periods by 23.12 to 41.73%.
  • Keywords
    demand side management; energy consumption; load regulation; pricing; refrigerators; smart power grids; annual electricity bills; annual electricity costs; cooling systems; demand side management; different energy classes; fluctuations; intelligent load control; load savings; load shifting; multiple pricing; power systems; refrigerators; residential energy consumption; smart grid; thermostatic loads; Cooling; Electricity; Energy consumption; Pricing; Refrigerators; Schedules; Temperature measurement; Cooling systems; defrost control; demand response; demand side management; intelligent load control; refrigerator; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (UPEC), 2012 47th International
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-2854-8
  • Electronic_ISBN
    978-1-4673-2855-5
  • Type

    conf

  • DOI
    10.1109/UPEC.2012.6398661
  • Filename
    6398661