• DocumentCode
    3531981
  • Title

    RES-based power plants siting using geographical information systems

  • Author

    Rokas, St ; Ktenidis, T. ; Kondili, E. ; Kaldellis, J.K.

  • Author_Institution
    Soft Energy Applic. & Environ. Protection Lab., TEI of Piraeus, Piraeus, Greece
  • fYear
    2011
  • fDate
    14-16 June 2011
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    One of the main reasons for the delay of renewable energy sources (RES) applications in Greece is the difficulty of finding a proper location for their installation that will satisfy the required specifications. The situation is further aggravated by the lack of an integrated decision support tool, taking into consideration all the parameters affecting the optimum siting of similar power stations. In this context, the main aim of the current work is to develop an appropriate siting procedure on the basis of geographical information systems, taking into consideration the main parameters affecting the best choice of a new RES power station and using as a test case study the island of Syros in the Aegean Sea.
  • Keywords
    decision support systems; geographic information systems; power engineering computing; power generation planning; renewable energy sources; geographical information systems; integrated decision support tool; optimum siting; proper location; renewable energy sources; Electricity; Power grids; Roads; Wind farms; Wind speed; Wind turbines; Decision support tool; Islands; Siting criteria; Wind park;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Electrical Power (ICCEP), 2011 International Conference on
  • Conference_Location
    Ischia
  • Print_ISBN
    978-1-4244-8929-9
  • Electronic_ISBN
    978-1-4244-8928-2
  • Type

    conf

  • DOI
    10.1109/ICCEP.2011.6036269
  • Filename
    6036269