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
Link To Document :
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