• DocumentCode
    2106762
  • Title

    Microscale Solar Energy Harvesting for Wireless Sensor Networks based on Exponential Maximum power locking technique

  • Author

    Eltaliawy, Ayman ; Mostafa, Hassan ; Ismail, Yousr

  • Author_Institution
    Center for Nano-Electron. & Devices, American Univ. in Cairo & Zewail City for Sci. & Technol., Cairo, Egypt
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    889
  • Lastpage
    892
  • Abstract
    Solar Energy is considered the densest source among ambient resources that is used in Energy Harvesting [1]. Power Management is a critical issue for the VLSI Design targeting different microscale modules. In this Work, Wireless Sensor Networks (WSN) is chosen to be the research application due to many problems. Normal batteries do not provide high energy densities, maintenance costs are very high due to WSN deployment issues. A New Technique, called Exponential Automatic Maximum power locking, is introduced here. The proposed technique locks on the maximum power of the PhotoVoltaic (PV) cell across large range of input light. It is based on the analytical derivation of the system equations with some approximations. The proposed design gives better approximation in terms of power and provides higher locking power range than previous techniques in the literature.
  • Keywords
    energy harvesting; maximum power point trackers; solar cells; solar power; wireless sensor networks; WSN; exponential maximum power locking technique; microscale solar energy harvesting; photovoltaic cell; wireless sensor networks; Capacitors; Charge pumps; Equations; Mathematical model; Solar energy; Transistors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/ICECS.2013.6815556
  • Filename
    6815556