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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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/1149503 |
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| author | Dega Nagaraju C. Chiranjeevi Y. Rajasekhar Senthil Kumaran Selvaraj Utkarsh Chadha R. Nagalakshmi Velmurugan Paramasivam |
| author_facet | Dega Nagaraju C. Chiranjeevi Y. Rajasekhar Senthil Kumaran Selvaraj Utkarsh Chadha R. Nagalakshmi Velmurugan Paramasivam |
| author_sort | Dega Nagaraju |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-18b55bb8a6cb4e3491ab33dac8909821 |
| institution | Kabale University |
| issn | 1687-711X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-18b55bb8a6cb4e3491ab33dac89098212025-02-03T01:30:03ZengWileyAdvances in Fuzzy Systems1687-711X2022-01-01202210.1155/2022/1149503Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy EnvironmentDega Nagaraju0C. Chiranjeevi1Y. Rajasekhar2Senthil Kumaran Selvaraj3Utkarsh Chadha4R. Nagalakshmi5Velmurugan Paramasivam6School of Mechanical EngineeringSchool of Mechanical EngineeringCentre for Disaster Mitigation and ManagementDepartment of Manufacturing EngineeringSchool of Mechanical EngineeringDepartment of Computer Science and EngineeringSchool of Mechanical and Automotive EngineeringEnergy 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.http://dx.doi.org/10.1155/2022/1149503 |
| spellingShingle | Dega Nagaraju C. Chiranjeevi Y. Rajasekhar Senthil Kumaran Selvaraj Utkarsh Chadha R. Nagalakshmi Velmurugan Paramasivam Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment Advances in Fuzzy Systems |
| title | Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment |
| title_full | Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment |
| title_fullStr | Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment |
| title_full_unstemmed | Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment |
| title_short | Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment |
| title_sort | semantic approach for evaluation of energy storage technologies under fuzzy environment |
| url | http://dx.doi.org/10.1155/2022/1149503 |
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