• DocumentCode
    3038854
  • Title

    Optimal design of hybrid renewable energy system for electrification of a remote village in Egypt

  • Author

    Helal, Abdelsalam ; El-Mohr, R. ; Eldosouki, H.

  • Author_Institution
    Electr. & Control Eng. Dept., Arab Acad. for Sci. & Technol. & Maritime Transp., Alexandria, Egypt
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Stand-alone hybrid renewable energy systems are used to supply the electricity demand for remote areas. Design of a hybrid renewable energy system is a site specific and it depends upon the renewable resources available and load demand profile. This paper describes design, simulation and feasibility study of a PV-wind-battery and diesel hybrid system for electrification of a remote village in EGYPT. Hybrid Optimization Model for Electric Renewable (HOMER) is used for simulation of the proposed system and for components sizing optimization. In the optimization process, HOMER simulates every system configuration in the search space and the system with the least total Net Present Cost (NPC) is chosen as the optimum system.
  • Keywords
    hybrid power systems; optimisation; photovoltaic power systems; renewable energy sources; Egypt; PV-wind-battery; components sizing optimization; diesel hybrid system; electric renewable; electricity demand supply; electrification; hybrid optimization model; load demand profile; net present cost; optimal design; remote village; renewable resources; stand-alone hybrid renewable energy systems; Batteries; Fuels; Generators; Hybrid power systems; Optimization; Renewable energy resources; Wind turbines; Electrification; Hybrid; PV; Renewable energ; Wind Turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computing and Control Applications (CCCA), 2012 2nd International Conference on
  • Conference_Location
    Marseilles
  • Print_ISBN
    978-1-4673-4694-8
  • Type

    conf

  • DOI
    10.1109/CCCA.2012.6417901
  • Filename
    6417901