Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment

Energy storage systems are becoming increasingly important, with a growing focus on renewable energy sources that provide highly fluctuating output. Therefore, sound decisions regarding the energy storage systems to be employed need to be made, especially with a systematic and semantic approach. Thi...

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Bibliographic Details
Published inAdvances in fuzzy systems Vol. 2022; pp. 1 - 11
Main Authors Nagaraju, Dega, Chiranjeevi, C., Rajasekhar, Y., Selvaraj, Senthil Kumaran, Chadha, Utkarsh, Nagalakshmi, R., Paramasivam, Velmurugan
Format Journal Article
LanguageEnglish
Published New York Hindawi 2022
Hindawi Limited
Subjects
Alternative energy sources
Alternatives
Decision making
Electricity
Energy industry
Energy resources
Energy storage
Fuzzy logic
Fuzzy sets
Hydrogen
Magnetic storage
Multiple criterion
Renewable energy sources
Renewable resources
Semantics
Sensitivity analysis
Storage systems
Technology
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Summary:Energy storage systems are becoming increasingly important, with a growing focus on renewable energy sources that provide highly fluctuating output. Therefore, sound decisions regarding the energy storage systems to be employed need to be made, especially with a systematic and semantic approach. This paper considers the problem of evaluation and selection of energy storage technologies (ESTs). The objective of the proposed research is to decide the best technology for energy storage under the novel idea of hybrid multicriteria decision-making technique under fuzzy environment, that is, fuzzy AHP with fuzzy VIKOR. Electrochemical storage, electrical storage, magnetic storage, mechanical storage, and chemical storage are considered as five alternative energy storage technologies. Energy density, life cycles, cycle efficiency, investment level, suitability to climatic conditions, and required space are considered as six main evaluation criteria. Under each of the main criteria, a set of subcriteria are also considered. The weights of main criteria and subcriteria are determined using fuzzy AHP. With the help of the weights of each set of subcriteria, the weights of alternatives are determined using fuzzy VIKOR. Further, with the help of the main criteria weights and the weights of alternatives determined with respect to each set of subcriteria, the final normalized weights of alternatives are determined. Based on these weights, energy storage technologies are ranked. In addition, the sensitivity analysis is carried out to analyze the variation in ranking pattern of alternatives. From the research findings of this paper, the results are found to be more practical as the evaluation is carried out on an objective basis.
ISSN:1687-7101
1687-711X
DOI:10.1155/2022/1149503