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A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems

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dc.contributor.author Perera, ATD
dc.contributor.author Attalage, RA
dc.contributor.author Perera, KKCK
dc.contributor.author Dassanayake, VPC
dc.date.accessioned 2014-06-27T15:08:55Z
dc.date.available 2014-06-27T15:08:55Z
dc.date.issued 2014-06-27
dc.identifier.issn 0306-2619 en_US
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/10125
dc.description.abstract Hybrid energy systems (HESs) are becoming popular for standalone applications due to global concern regarding green house gas (GHG) emissions and depletion of fossil fuel resources. Research in the optimal design of HESs is ongoing, with numerous optimization techniques giving special emphasis to Pareto optimization, incorporating conflicting objectives. The subsequent decision-making process including the non-dominant set of solutions has yet to be addressed.This work focuses on combining multi-objective optimization with a multi-criterion decision making (MCDM) technique to support decision makers in the process of designing HESs. Four different objectives, i.e., levelized energy cost (LEC), unmet load fraction, wasted renewable energy (WRE) and fuel consumption are used to obtain the Pareto front. A decision support tool based on Fuzzy TOPSIS and level diagrams is proposed to analyze the Pareto front and support the subsequent decision-making activity. A case study is used to illustrate the applicability of the proposed method. The study shows that the novel method is useful when determining the relative weights of objectives, providing a detailed picture of the objective space to the designer when coming up with the optimum system. The technique proposed in this study can be further extended to analyze similar problems in energy system design where MCDM is necessary after multi-objective optimization. en_US
dc.language.iso en en_US
dc.source.uri http://www.sciencedirect.com/science/article/pii/S0306261913001578 en_US
dc.title A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems en_US
dc.type Article-Abstract en_US
dc.identifier.year 2013 en_US
dc.identifier.journal Applied Energy en_US
dc.identifier.volume 107 en_US
dc.identifier.pgnos pp. 412-425 en_US
dc.identifier.email dinu@mech. en_US


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