IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v206y2020ics0360544220311993.html
   My bibliography  Save this article

A novel modular designing for multi-ring flywheel rotor to optimize energy consumption in light metro trains

Author

Listed:
  • Rastegarzadeh, Sina
  • Mahzoon, Mojtaba
  • Mohammadi, Hossein

Abstract

In this paper, a multi-ring flywheel rotor is chosen as a basic module for modular designing an optimized energy storage system to reduce the energy consumption in light metro trains by finding the best capacity and the number of optimized-flywheel rotor module for each train car. After finding the adequate capacity and optimizing the geometric characteristics of rotor rings, the effect of using the modular Flywheel energy storage system (FESS) on reducing the energy consumption of light urban trains is investigated. Four different rotors with various energy storage capacities are chosen, so that results can be used for a wide range of light trains with a power demand range of 1620–3420 kW. In the optimization algorithm, the energy per unit volume is considered as the cost function. The presented general modular designing is examined for Shiraz urban train system by using real-time speed and acceleration data. A three-layer flywheel with an energy storage capacity of 500W.h serves as a practical example. Finally, the effects of the number of passengers, peak, and off-peak hours in the energy storage capacity of the system are also studied. Using 15-FESS modules results in 35.1% energy saving for this line.

Suggested Citation

  • Rastegarzadeh, Sina & Mahzoon, Mojtaba & Mohammadi, Hossein, 2020. "A novel modular designing for multi-ring flywheel rotor to optimize energy consumption in light metro trains," Energy, Elsevier, vol. 206(C).
    • Handle: RePEc:eee:energy:v:206:y:2020:i:c:s0360544220311993
    DOI: 10.1016/j.energy.2020.118092
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220311993
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.118092?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kuriqi, Alban & Pinheiro, António N. & Sordo-Ward, Alvaro & Garrote, Luis, 2019. "Flow regime aspects in determining environmental flows and maximising energy production at run-of-river hydropower plants," Applied Energy, Elsevier, vol. 256(C).
    2. Barelli, L. & Bidini, G. & Bonucci, F. & Castellini, L. & Fratini, A. & Gallorini, F. & Zuccari, A., 2019. "Flywheel hybridization to improve battery life in energy storage systems coupled to RES plants," Energy, Elsevier, vol. 173(C), pages 937-950.
    3. Zhao, Pan & Dai, Yiping & Wang, Jiangfeng, 2014. "Design and thermodynamic analysis of a hybrid energy storage system based on A-CAES (adiabatic compressed air energy storage) and FESS (flywheel energy storage system) for wind power application," Energy, Elsevier, vol. 70(C), pages 674-684.
    4. Suzuki, Y. & Koyanagi, A. & Kobayashi, M. & Shimada, R., 2005. "Novel applications of the flywheel energy storage system," Energy, Elsevier, vol. 30(11), pages 2128-2143.
    5. Rupp, A. & Baier, H. & Mertiny, P. & Secanell, M., 2016. "Analysis of a flywheel energy storage system for light rail transit," Energy, Elsevier, vol. 107(C), pages 625-638.
    6. Bolund, Björn & Bernhoff, Hans & Leijon, Mats, 2007. "Flywheel energy and power storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(2), pages 235-258, February.
    7. Spiryagin, Maksym & Wolfs, Peter & Szanto, Frank & Sun, Yan Quan & Cole, Colin & Nielsen, Dwayne, 2015. "Application of flywheel energy storage for heavy haul locomotives," Applied Energy, Elsevier, vol. 157(C), pages 607-618.
    8. Stern, Martin O., 1988. "Energy storage in magnetic fields," Energy, Elsevier, vol. 13(2), pages 137-140.
    9. Pan, Deng & Zhao, Liting & Luo, Qing & Zhang, Chuansheng & Chen, Zejun, 2018. "Study on the performance improvement of urban rail transit system," Energy, Elsevier, vol. 161(C), pages 1154-1171.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Lang & He, Deqiang & He, Yan & Liu, Bin & Chen, Yanjun & Shan, Sheng, 2022. "Real-time energy saving optimization method for urban rail transit train timetable under delay condition," Energy, Elsevier, vol. 258(C).
    2. Cipek, Mihael & Pavković, Danijel & Krznar, Matija & Kljaić, Zdenko & Mlinarić, Tomislav Josip, 2021. "Comparative analysis of conventional diesel-electric and hypothetical battery-electric heavy haul locomotive operation in terms of fuel savings and emissions reduction potentials," Energy, Elsevier, vol. 232(C).
    3. Abdulilah Mohammad Mayet & Seyed Mehdi Alizadeh & Karina Shamilyevna Nurgalieva & Robert Hanus & Ehsan Nazemi & Igor M. Narozhnyy, 2022. "Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems," Energies, MDPI, vol. 15(6), pages 1-19, March.
    4. Abdul Ghani Olabi & Tabbi Wilberforce & Mohammad Ali Abdelkareem & Mohamad Ramadan, 2021. "Critical Review of Flywheel Energy Storage System," Energies, MDPI, vol. 14(8), pages 1-33, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdul Ghani Olabi & Tabbi Wilberforce & Mohammad Ali Abdelkareem & Mohamad Ramadan, 2021. "Critical Review of Flywheel Energy Storage System," Energies, MDPI, vol. 14(8), pages 1-33, April.
    2. Xiao, Feng & Yang, Zhengguang & Wei, Bo, 2024. "Distributed fixed-time cooperative control for flywheel energy storage systems with state-of-energy constraints," Energy, Elsevier, vol. 293(C).
    3. Arani, A.A. Khodadoost & Karami, H. & Gharehpetian, G.B. & Hejazi, M.S.A., 2017. "Review of Flywheel Energy Storage Systems structures and applications in power systems and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 9-18.
    4. Cheng Gong & Shiwen Zhang & Feng Zhang & Jianguo Jiang & Xinheng Wang, 2014. "An Integrated Energy-Efficient Operation Methodology for Metro Systems Based on a Real Case of Shanghai Metro Line One," Energies, MDPI, vol. 7(11), pages 1-25, November.
    5. Rupp, A. & Baier, H. & Mertiny, P. & Secanell, M., 2016. "Analysis of a flywheel energy storage system for light rail transit," Energy, Elsevier, vol. 107(C), pages 625-638.
    6. Muhammad Umair Mutarraf & Yacine Terriche & Kamran Ali Khan Niazi & Juan C. Vasquez & Josep M. Guerrero, 2018. "Energy Storage Systems for Shipboard Microgrids—A Review," Energies, MDPI, vol. 11(12), pages 1-32, December.
    7. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    8. Fei Lin & Shihui Liu & Zhihong Yang & Yingying Zhao & Zhongping Yang & Hu Sun, 2016. "Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm," Energies, MDPI, vol. 9(3), pages 1-21, March.
    9. Cipek, Mihael & Pavković, Danijel & Kljaić, Zdenko & Mlinarić, Tomislav Josip, 2019. "Assessment of battery-hybrid diesel-electric locomotive fuel savings and emission reduction potentials based on a realistic mountainous rail route," Energy, Elsevier, vol. 173(C), pages 1154-1171.
    10. Hou, Jun & Sun, Jing & Hofmann, Heath, 2018. "Control development and performance evaluation for battery/flywheel hybrid energy storage solutions to mitigate load fluctuations in all-electric ship propulsion systems," Applied Energy, Elsevier, vol. 212(C), pages 919-930.
    11. Okou, R. & Sebitosi, A.B. & Pillay, P., 2011. "Flywheel rotor manufacture for rural energy storage in sub-Saharan Africa," Energy, Elsevier, vol. 36(10), pages 6138-6145.
    12. Liu, Jin-Long & Wang, Jian-Hua, 2015. "Thermodynamic analysis of a novel tri-generation system based on compressed air energy storage and pneumatic motor," Energy, Elsevier, vol. 91(C), pages 420-429.
    13. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    14. Guo, Cong & Xu, Yujie & Zhang, Xinjing & Guo, Huan & Zhou, Xuezhi & Liu, Chang & Qin, Wei & Li, Wen & Dou, Binlin & Chen, Haisheng, 2017. "Performance analysis of compressed air energy storage systems considering dynamic characteristics of compressed air storage," Energy, Elsevier, vol. 135(C), pages 876-888.
    15. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    16. Zhai, Yijie & Ma, Xiaotian & Gao, Feng & Zhang, Tianzuo & Hong, Jinglan & Zhang, Xu & Yuan, Xueliang & Li, Xiangzhi, 2020. "Is energy the key to pursuing clean air and water at the city level? A case study of Jinan City, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    17. Jiansong Li & Jiyun Zhao & Xiaochun Zhang, 2020. "A Novel Energy Recovery System Integrating Flywheel and Flow Regeneration for a Hydraulic Excavator Boom System," Energies, MDPI, vol. 13(2), pages 1-25, January.
    18. Brenda Rojas-Delgado & Monica Alonso & Hortensia Amaris & Juan de Santiago, 2019. "Wave Power Output Smoothing through the Use of a High-Speed Kinetic Buffer," Energies, MDPI, vol. 12(11), pages 1-28, June.
    19. He, Yang & MengWang, & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2021. "Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation," Energy, Elsevier, vol. 222(C).
    20. Fan, YaJun & Mu, AnLe & Ma, Tao, 2016. "Modeling and control of a hybrid wind-tidal turbine with hydraulic accumulator," Energy, Elsevier, vol. 112(C), pages 188-199.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:206:y:2020:i:c:s0360544220311993. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.