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Flywheel Energy Storage System in Italian Regional Transport Railways: A Case Study

Author

Listed:
  • Aldo Canova

    (Dipartimento Energia “G. Ferraris”, Politecnico di Torino, 10129 Torino, Italy
    These authors contributed equally to this work.)

  • Federico Campanelli

    (Dipartimento Energia “G. Ferraris”, Politecnico di Torino, 10129 Torino, Italy
    These authors contributed equally to this work.)

  • Michele Quercio

    (Dipartimento Energia “G. Ferraris”, Politecnico di Torino, 10129 Torino, Italy
    These authors contributed equally to this work.)

Abstract

In this paper, we looked at the role of electromechanical storage in railway applications. A mathematical model of a running train was interfaced with real products on the electromechanical storage market supposed to be installed at the substation. Through this simulation, we gathered data on the recoverable energy of the system, its advantages, and its limitations. Various storage powers were run along variations in speed and gradient to paint a clearer picture of this application. Throughout these simulations, the energy savings were between 25% and 38%, saving up to 0.042 kWh/(seat km).

Suggested Citation

  • Aldo Canova & Federico Campanelli & Michele Quercio, 2022. "Flywheel Energy Storage System in Italian Regional Transport Railways: A Case Study," Energies, MDPI, vol. 15(3), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1096-:d:740594
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    References listed on IDEAS

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    4. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
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    Cited by:

    1. Alexandre De Bernardinis & Richard Lallemand & Abdelfatah Kolli, 2023. "Highly Efficient Three-Phase Bi-Directional SiC DC–AC Inverter for Electric Vehicle Flywheel Emulator," Energies, MDPI, vol. 16(12), pages 1-15, June.
    2. Valentina Lucaferri & Michele Quercio & Antonino Laudani & Francesco Riganti Fulginei, 2023. "A Review on Battery Model-Based and Data-Driven Methods for Battery Management Systems," Energies, MDPI, vol. 16(23), pages 1-19, November.
    3. Hongjin Hu & Haoze Wang & Kun Liu & Jingbo Wei & Xiangjie Shen, 2022. "A Simplified Space Vector Pulse Width Modulation Algorithm of a High-Speed Permanent Magnet Synchronous Machine Drive for a Flywheel Energy Storage System," Energies, MDPI, vol. 15(11), pages 1-21, June.
    4. Giuseppe Fabri & Antonio Ometto & Marco Villani & Gino D’Ovidio, 2022. "A Battery-Free Sustainable Powertrain Solution for Hydrogen Fuel Cell City Transit Bus Application," Sustainability, MDPI, vol. 14(9), pages 1-16, April.

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