• DocumentCode
    3268816
  • Title

    Design optimization of a RES-based power-supply system for Wireless Sensor Networks

  • Author

    Mandourarakis, Ioannis ; Koutroulis, Eftichios

  • Author_Institution
    Sch. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    278
  • Lastpage
    283
  • Abstract
    Wireless Sensor Networks (WSNs) are widely used during the last years in various environmental and industrial applications and they are frequently installed in geographically isolated areas, where access to electricity is not available. In such cases, the WSN nodes are power-supplied by Renewable Energy Sources (RES), accompanied by energy-storage units. In this paper, a design optimization method is presented for deriving the optimal configuration of the RES-based energy production system of a WSN node, such that its total lifetime cost is minimized, while simultaneously it is guaranteed that the data-acquisition equipment of the WSN node is uninterruptedly power-supplied during the entire year. The design results verify that by applying the proposed optimization technique, RES-based power-supply structures with a lower lifetime cost are derived, compared to the non-optimally designed configurations. Experimental results are also presented, demonstrating the successful operation of a RES-based power-supply system, which has been optimally designed using the proposed method.
  • Keywords
    optimisation; power supplies to apparatus; renewable energy sources; wireless sensor networks; RES-based energy production system; RES-based power-supply structures; WSN nodes; data-acquisition equipment; design optimization method; energy-storage units; geographically isolated areas; renewable energy sources; total lifetime cost; wireless sensor networks; Algorithm design and analysis; Batteries; Design optimization; Lead; Maintenance engineering; Wireless sensor networks; Genetic Algorithms; Renewable Energy Sources; Wireless Sensor Networks; design optimization; power supply;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165552
  • Filename
    7165552