• DocumentCode
    538964
  • Title

    AHP and fuzzy assessment based sustainability indicator for hybrid renewable energy system

  • Author

    Liu, G. ; Rasul, M.G. ; Amanullah, M.T.O. ; Khan, M.M.K.

  • Author_Institution
    Power Eng. Res. Group, CQ Univ., Rockhampton, QLD, Australia
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Multiple non-traditional resources based energy system is used against a range of energy risks and environmental issues. The present study aims to develop a sustainability indicator for evaluating the sustainability of hybrid renewable energy (HRE) system. The indicator will reflect the Triple Bottom Lines (TBL) based definition of sustainability, including the meanings of environmental, economic and social aspects. A number of indicator databases are quantified and aggregated into a sustainability indicator by fuzzy assessment and analytical hierarchy process (AHP). A case of optimized PV-wind power systems in Australia is presented to explain the application of the developed indicator. The numerical result is compared between the four different configurations of the HRE system.
  • Keywords
    decision making; hybrid power systems; renewable energy sources; sustainable development; AHP; analytical hierarchy process; fuzzy assessment; hybrid renewable energy system; sustainability indicator; triple bottom lines; Biological system modeling; Databases; Economics; Equations; Mathematical model; Renewable energy resources; System performance; analytical hierachy processing; fuzzy logic; hybrid renewable energy system; sustainaiblity indicator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (AUPEC), 2010 20th Australasian
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-8379-2
  • Electronic_ISBN
    978-1-4244-8380-8
  • Type

    conf

  • Filename
    5710715