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Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives

Author

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  • Olubayo Moses Babatunde

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Josiah Lange Munda

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Yskandar Hamam

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa
    École Supérieure d’Ingénieurs en Électrotechnique et Électronique, Cité Descartes, 2 Boulevard Blaise Pascal, Noisy-le-Grand, 93160 Paris, France)

Abstract

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.

Suggested Citation

  • Olubayo Moses Babatunde & Josiah Lange Munda & Yskandar Hamam, 2022. "Triangular Intuitionistic Fuzzy Aggregating and Ranking Function Approach for the Rating of Battery ‘End-of-Life’ Handling Alternatives," Energies, MDPI, vol. 15(6), pages 1-12, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2248-:d:774804
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    References listed on IDEAS

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