• DocumentCode
    2019167
  • Title

    Determining wind turbine capacity for expansion of off grid Internal Combustion Generators (ICG) system; why it bec o mes challenging?

  • Author

    Perera, A.T.D. ; Wickremasinghe, D.M.I.J. ; Mahindarathna, D.V.S. ; Attalage, R.A. ; Perera, K.K.C.K. ; Bartholameuz, E.M.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
  • fYear
    2010
  • fDate
    6-9 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Combining renewable energy sources to Internal Combustion Generator (ICG) systems for standalone applications is becoming popular due to higher depletion rate of fossil fuel resources and global concerns on Green House Gas (GHG) emission. In this study, Hybrid Energy System (HES) modeling and simulation was done in order to investigate the impact of Wind Turbine Capacity (WTC) for expansion of such ICG systems. For that, ε-multi objective optimization was used to analyze the effect of varying WTC to Levelized Energy Cost (LEC) and ICG energy output. Obtained results show the importance of multi criterion analysis instead of classical cost optimization in expanding existing ICG systems in a cost effective environment friendly manner.
  • Keywords
    air pollution control; combustion; diesel-electric generators; fossil fuels; optimisation; renewable energy sources; wind turbines; ICG energy output; ICG system; fossil fuel resource; green house gas emission; higher depletion rate; hybrid energy system modeling; levelized energy cost; multicriterion analysis; multiobjective optimization; off grid internal combustion generator; renewable energy source; standalone application; wind turbine capacity; Batteries; Biological system modeling; Hybrid power systems; Mathematical model; Optimization; Renewable energy resources; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies (ICSET), 2010 IEEE International Conference on
  • Conference_Location
    Kandy
  • Print_ISBN
    978-1-4244-7192-8
  • Type

    conf

  • DOI
    10.1109/ICSET.2010.5684944
  • Filename
    5684944