Bio-based liquid nanocomposites for electrical equipment
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Rizwan A. Farade
,
Noor Izzri Abdul Wahab
,
Vasi Uddin Siddiqui
und
Salit Mohd Sapuan
Abstract
Vegetable oils are being considered as bio-based transformer liquid alternatives due to their biodegradability and potential for environmental impact reduction. Considering the depletion of mineral oils due to their petroleum-based origins, it appears that bio-based liquids could be viable alternatives for transformer applications. These liquids also show promise for a variety of other electrical and heat transfer applications, such as capacitors, cables, circuit breakers, and tap changers. They are derived from a variety of plants, have cost benefits over synthetic oils and are plentiful in many places. Although bio-based liquids have many benefits, they also have limitations. This includes poor thermo-dielectric performance. Adding nanoparticles to bio-based liquids at the right concentration can address these issues. Although there has been significant progress in research and development regarding the use of nanoparticles in bio-based liquids, no single type of nanoparticle has consistently proven to outperform others in all aspects. This review explores techniques for increasing the efficacy of bio-based liquids by incorporating nanoparticles to form bio-based liquid nanocomposites. It covers contemporary experimental studies on bio-based liquid nanocomposites, including preparation, stability tests, thermal characteristics, and dielectric characteristics. Furthermore, clarifies the fundamental principles that underpin the observed findings in this promising topic. This review seeks to contribute to the growing body of research on bio-based liquid nanocomposites in the field of transformers.
Funding source: Universiti Putra Malaysia
Award Identifier / Grant number: GP-GPB/2021/9706100
Acknowledgments
The authors would like to thank the editors Faris M. AL-Oqla, Afszaluddin Atiqah and S. M. Sapuan for their guidance and review of this article before its publication.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors states no conflict of interest.
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Research funding: University Putra Malaysia under Grant GP-GPB/2021/9706100.
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Data availability: Not applicable.
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