• DocumentCode
    2044577
  • Title

    Policies for predictive energy management with supercapacitors

  • Author

    Renner, Christian ; Meier, Florian ; Turau, Volker

  • Author_Institution
    Inst. of Telematics, Hamburg Univ. of Technol., Hamburg, Germany
  • fYear
    2012
  • fDate
    19-23 March 2012
  • Firstpage
    314
  • Lastpage
    319
  • Abstract
    This paper presents an algorithm to dynamically determine the maximum supported uniform demand for energy of sensor nodes powered by energy harvesters using supercapacitors as energy buffers. Knowledge about the maximum uniform consumption is required to adapt the sensor node´s duty cycle or task schedule to achieve uniform, utility-maximizing, and depletion-safe operation. Our algorithm makes use of a supercapacitors´ relationship between state-of-charge and voltage, is particularly designed to handle the non-linear system model, and is lightweight enough to run on low-power sensor node hardware. We define three energy policies, evaluate their performance using a real-world solar-harvesting trace, and analyze the influence of the supercapacitor´s capacity and errors of the energy forecast.
  • Keywords
    demand side management; energy harvesting; load forecasting; power consumption; supercapacitors; energy buffer; energy consumption; energy demand; energy forecast; energy harvester; nonlinear system; predictive energy management policy; sensor node duty cycle; solar harvesting trace; state-of-charge; supercapacitor; task schedule; Adaptation models; Hardware; Load modeling; Mathematical model; Photovoltaic cells; Prediction algorithms; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on
  • Conference_Location
    Lugano
  • Print_ISBN
    978-1-4673-0905-9
  • Electronic_ISBN
    978-1-4673-0906-6
  • Type

    conf

  • DOI
    10.1109/PerComW.2012.6197502
  • Filename
    6197502