• DocumentCode
    1961954
  • Title

    Optimized hybrid green power model for remote telecom sites

  • Author

    Akuon, P.O.

  • Author_Institution
    Sch. of Eng., Univ. of KwaZulu-Natal, Durban, South Africa
  • fYear
    2012
  • fDate
    9-13 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a standard hybrid power solution model for remote base transceiver stations (BTS) for application in remote telecommunication sites where grid connection is not present or unreliable. The load power sources are the diesel generator, solar panels, wind generator and the battery bank systems. The design, implementation and some test analysis are discussed based on a green power solution installation made in the Angolan coast (Latitude 80 15\´ 13" S and Longitude 130 6\´ 46" E), at the shores of South Atlantic Ocean. This model utilizes the “Hybrid Optimization Model for Electric Renewables” (HOMER) software for optimal costing evaluation procedures, while the input wind speeds and solar insolation data are adopted from NASA\´s long-term weather statistics without in situ measurements. The theoretical design parameters are seen to follow the practical observations over a period of one year, the limiting effects of shading and dust accumulation on the photo-voltaic panels is verified and the need to have optimum separation distance between wind turbines is confirmed and can be used to guide design engineers.
  • Keywords
    diesel-electric generators; environmental factors; hybrid power systems; optimisation; solar cells; wind power; HOMER software; battery bank systems; diesel generator; hybrid green power model; hybrid optimization model for electric renewables software; load power sources; optimal costing evaluation; photovoltaic panels; remote telecom sites; solar panels; wind generator; BTS loads; Hybrid power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Conference and Exposition in Africa (PowerAfrica), 2012 IEEE
  • Conference_Location
    Johannesburg
  • Print_ISBN
    978-1-4673-2548-6
  • Type

    conf

  • DOI
    10.1109/PowerAfrica.2012.6498625
  • Filename
    6498625