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Copyright © 2022 Dega Nagaraju et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

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.

Details

Title
Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment
Author
Nagaraju, Dega 1   VIAFID ORCID Logo  ; Chiranjeevi, C 1   VIAFID ORCID Logo  ; Rajasekhar, Y 2   VIAFID ORCID Logo  ; Senthil Kumaran Selvaraj 3   VIAFID ORCID Logo  ; Chadha, Utkarsh 1   VIAFID ORCID Logo  ; Nagalakshmi, R 4 ; Velmurugan Paramasivam 5   VIAFID ORCID Logo 

 School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India 
 Centre for Disaster Mitigation and Management, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India 
 Department of Manufacturing Engineering, School of Mechanical Engineering (SMEC), Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India 
 Department of Computer Science and Engineering, Faculty of Engineering and Technology, Kalinga University, Raipur, Chhattisgarh, India 
 School of Mechanical and Automotive Engineering, College of Engineering and Technology, Dilla University, P.O. Box 419, Dilla, Ethiopia 
Editor
Bekir Sahin
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
ISSN
16877101
e-ISSN
1687711X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2707456206
Copyright
Copyright © 2022 Dega Nagaraju et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/