Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives
The increased adoption of intermittent renewable sources in the energy sector has also increased the use of battery storage systems. However, the negative impact which the improper disposal of batteries has on the environment has stirred debates on its sustainability. To ensure the proper disposal o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/6/2248 |
| _version_ | 1797446555379171328 |
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| author | Olubayo Moses Babatunde Josiah Lange Munda Yskandar Hamam |
| author_facet | Olubayo Moses Babatunde Josiah Lange Munda Yskandar Hamam |
| author_sort | Olubayo Moses Babatunde |
| collection | DOAJ |
| description | The increased adoption of intermittent renewable sources in the energy sector has also increased the use of battery storage systems. However, the negative impact which the improper disposal of batteries has on the environment has stirred debates on its sustainability. To ensure the proper disposal of battery waste, there is a need to identify and rank the most preferred battery ‘end-of-life’ handling alternatives. This paper focuses on identifying the most preferred ‘end-of-life’ handling alternatives for batteries using a modified triangular intuitionistic fuzzy aggregating and ranking function (TIFARF) model. To test the proposed modified TIFARF model, opinions from experts in the Nigerian renewable energy sector were collected, and the results show that the most preferred alternative is incineration, with a closeness coefficient of 0.130, while the least preferred alternative is recycling, whose closeness coefficient is 0.112. The results are an indication of a lack of facilities needed for the proper recycling of battery remains after their lifetime; if adequate facilities are available, the opinion of experts may be biased towards other alternatives. Future studies should focus on more battery ‘end-of-life’ handling alternatives and on countries with adequate facilities that can be used to manage batteries at the end of their lifespan. |
| first_indexed | 2024-03-09T13:43:10Z |
| format | Article |
| id | doaj.art-50e42fac975a4737afd571df162f8ac6 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T13:43:10Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-50e42fac975a4737afd571df162f8ac62023-11-30T21:04:02ZengMDPI AGEnergies1996-10732022-03-01156224810.3390/en15062248Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling AlternativesOlubayo Moses Babatunde0Josiah Lange Munda1Yskandar Hamam2Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaDepartment of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaDepartment of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaThe increased adoption of intermittent renewable sources in the energy sector has also increased the use of battery storage systems. However, the negative impact which the improper disposal of batteries has on the environment has stirred debates on its sustainability. To ensure the proper disposal of battery waste, there is a need to identify and rank the most preferred battery ‘end-of-life’ handling alternatives. This paper focuses on identifying the most preferred ‘end-of-life’ handling alternatives for batteries using a modified triangular intuitionistic fuzzy aggregating and ranking function (TIFARF) model. To test the proposed modified TIFARF model, opinions from experts in the Nigerian renewable energy sector were collected, and the results show that the most preferred alternative is incineration, with a closeness coefficient of 0.130, while the least preferred alternative is recycling, whose closeness coefficient is 0.112. The results are an indication of a lack of facilities needed for the proper recycling of battery remains after their lifetime; if adequate facilities are available, the opinion of experts may be biased towards other alternatives. Future studies should focus on more battery ‘end-of-life’ handling alternatives and on countries with adequate facilities that can be used to manage batteries at the end of their lifespan.https://www.mdpi.com/1996-1073/15/6/2248battery storage systemTIFARFTOPSISenvironmental impact |
| spellingShingle | Olubayo Moses Babatunde Josiah Lange Munda Yskandar Hamam Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives Energies battery storage system TIFARF TOPSIS environmental impact |
| title | Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives |
| title_full | Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives |
| title_fullStr | Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives |
| title_full_unstemmed | Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives |
| title_short | Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives |
| title_sort | triangular intuitionistic fuzzy aggregating and ranking function approach for the rating of battery end of life handling alternatives |
| topic | battery storage system TIFARF TOPSIS environmental impact |
| url | https://www.mdpi.com/1996-1073/15/6/2248 |
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