• DocumentCode
    182976
  • Title

    Sustainability performance evaluation of renewable energy systems

  • Author

    Wibowo, S. ; Grandhi, S.

  • Author_Institution
    Sch. of Eng. & Technol., Central Queensland Univ. Melbourne, Melbourne, VIC, Australia
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    278
  • Lastpage
    283
  • Abstract
    The development and implementation of renewable energy systems is an important issue to be considered as they are considered to be the key solution for mitigating climate change and environmental pollution. The process of evaluating the sustainable performance of renewable energy systems is, however, difficult because of various decision makers, the diverse characteristic of the selection process and the presence of vagueness and fuzziness in the selection mechanism. In order to successfully address these shortcomings, this research paper provides a multicriteria group decision making approach for evaluating the sustainable performance of renewable energy systems. To judge the level of renewable energy systems performance, interval-valued based intuitionistic fuzzy numbers are chosen. An effective algorithm centered on positive and negative ideal solutions concept is applied for generating the overall performance index of renewable energy system choices. A descriptive case is included for demonstrating the value of the proposed method.
  • Keywords
    climate mitigation; decision making; fuzzy set theory; renewable energy sources; sustainable development; climate change mitigating; environmental pollution; interval-valued based intuitionistic fuzzy number; multicriteria group decision making approach; renewable energy system sustainable performance evaluation; selection mechanism; Decision making; Educational institutions; Investment; Performance analysis; Performance evaluation; Renewable energy sources; System performance; group decision makers; renewable energy systems; sustainability performance evaluation; vagueness and imprecision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5147-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2014.6980846
  • Filename
    6980846