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A battery powered approach to pressurised spinning: Introducing the sustainability concept and shaping the future of fibre production methodologies

Author

Listed:
  • Aydogdu, Mehmet Onur
  • Delbusso, Angelo
  • Edirisinghe, Mohan

Abstract

Industrial applications have always aimed to scale up manufacturing methods in size and capacity. However, the sustainable future of the pressurised spinning method, along with other fibre manufacturing techniques for functional applications, is likely to shift toward more compact solutions. In this regard, the process can be designed to be available to anyone who wants to benefit from the advantages of the concept. Thus, the idea is to make it accessible for everyone, sustainable in terms of energy, and environmentally with respect to material selection, aiming for a sustainable future by reducing energy consumption and eliminating the use of harsh chemicals. Hence, this work designs, constructs, and explores a battery powered pressurised spinning device and systematically evaluates the energy efficiency and performance of the system, highlighting the key points crucial for contributing to the sustainability concept with regard to energy usage and materials selection aspects without compromising the performance of the method.

Suggested Citation

  • Aydogdu, Mehmet Onur & Delbusso, Angelo & Edirisinghe, Mohan, 2025. "A battery powered approach to pressurised spinning: Introducing the sustainability concept and shaping the future of fibre production methodologies," Applied Energy, Elsevier, vol. 397(C).
    • Handle: RePEc:eee:appene:v:397:y:2025:i:c:s030626192501061x
    DOI: 10.1016/j.apenergy.2025.126331
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    References listed on IDEAS

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    1. Olabi, Abdul Ghani & Abbas, Qaisar & Shinde, Pragati A. & Abdelkareem, Mohammad Ali, 2023. "Rechargeable batteries: Technological advancement, challenges, current and emerging applications," Energy, Elsevier, vol. 266(C).
    2. Juan Pablo Fernández Goycoolea & Gabriela Zapata-Lancaster & Christopher Whitman, 2022. "Operational Emissions in Prosuming Dwellings: A Study Comparing Different Sources of Grid CO 2 Intensity Values in South Wales, UK," Energies, MDPI, vol. 15(7), pages 1-24, March.
    3. Wang, Zengkai & Zeng, Shengkui & Guo, Jianbin & Qin, Taichun, 2019. "State of health estimation of lithium-ion batteries based on the constant voltage charging curve," Energy, Elsevier, vol. 167(C), pages 661-669.
    4. Farah, Sleiman & Andresen, Gorm Bruun, 2024. "Investment-based optimisation of energy storage design parameters in a grid-connected hybrid renewable energy system," Applied Energy, Elsevier, vol. 355(C).
    5. Thiago Pieroni & Daniel Dotta, 2018. "Identification of the Most Effective Point of Connection for Battery Energy Storage Systems Focusing on Power System Frequency Response Improvement," Energies, MDPI, vol. 11(4), pages 1-19, March.
    6. Mecrow, B.C. & Jack, A.G., 2008. "Efficiency trends in electric machines and drives," Energy Policy, Elsevier, vol. 36(12), pages 4336-4341, December.
    7. Tian, Jiaqiang & Fan, Yuan & Pan, Tianhong & Zhang, Xu & Yin, Jianning & Zhang, Qingping, 2024. "A critical review on inconsistency mechanism, evaluation methods and improvement measures for lithium-ion battery energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
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