• DocumentCode
    34743
  • Title

    Reciprocity-based simulation methodology to estimate the power distribution received by electromagnetic energy harvesters

  • Author

    Nikolov, Dimitar Nikolov ; Boesman, Bart Gerard ; Vanhee, Filip ; Manolov, Emil Dimitrov ; Hristov, Marin ; De Craemer, Renaat ; Pissoort, Davy

  • Author_Institution
    Dept. of Microelectron., Tech. Univ. of Sofia, Sofia, Bulgaria
  • Volume
    5
  • Issue
    2
  • fYear
    2015
  • fDate
    4 2015
  • Firstpage
    106
  • Lastpage
    113
  • Abstract
    The capability to efficiently harvest power from ambient energy sources is a crucial element for the development of low-maintenance wireless sensor networks. Available energy levels that can be harvested from ambient electromagnetic (EM) sources are rather low (0.1 μW/cm2). Insufficient information about the available EM energy under different working conditions results in poor design decisions, leading to a sub-optimal system design. In this study, a novel and efficient simulation methodology is developed which predicts the statistical distribution of the power harvested by an antenna when immersed in a given (statistical) EM environment. The methodology is used to quantify the impact of the antenna´s orientation, location, exact geometry and so on, on the quantity of the harvested energy. The methodology is successfully applied to a realistic energy harvesting antenna in different EM environments (indoor, outdoor etc.).
  • Keywords
    data acquisition; energy harvesting; statistical distributions; wireless sensor networks; ambient electromagnetic sources; ambient energy sources; electromagnetic energy harvesters; low-maintenance wireless sensor networks; power distribution estimation; reciprocity-based simulation methodology; statistical distribution; suboptimal system design;
  • fLanguage
    English
  • Journal_Title
    Wireless Sensor Systems, IET
  • Publisher
    iet
  • ISSN
    2043-6386
  • Type

    jour

  • DOI
    10.1049/iet-wss.2013.0140
  • Filename
    7089383