IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v157y2015icp607-618.html
   My bibliography  Save this article

Application of flywheel energy storage for heavy haul locomotives

Author

Listed:
  • Spiryagin, Maksym
  • Wolfs, Peter
  • Szanto, Frank
  • Sun, Yan Quan
  • Cole, Colin
  • Nielsen, Dwayne

Abstract

At the present time, trains in heavy haul operations are typically hauled by several diesel-electric locomotives coupled in a multiple unit. This paper studies the case of a typical consist of three Co–Co diesel-electric locomotives, and considers replacing one unit with an alternative version, with the same design parameters, except that the diesel-electric plant is replaced with flywheel energy storage equipment. The intelligent traction and energy control system installed in this unit is integrated into the multiple-unit control to allow redistribution of the power between all units. In order to verify the proposed design, a three-stage investigation has been performed as described in this paper. The initial stage studies a possible configuration of the flywheel energy storage system by detailed modelling of the proposed intelligent traction and energy control system. The second stage includes the investigation and estimation of possible energy flows using a longitudinal train dynamics simulation. The final stage compares the conventional and the proposed locomotive configurations considering two parameters: fuel efficiency and emissions reduction.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:157:y:2015:i:c:p:607-618
    DOI: 10.1016/j.apenergy.2015.02.082
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915002676
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.02.082?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. Hu, Xiaosong & Murgovski, Nikolce & Johannesson, Lars & Egardt, Bo, 2013. "Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes," Applied Energy, Elsevier, vol. 111(C), pages 1001-1009.
    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. 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.
    2. Ovalle, Andres & Pouget, Julien & Bacha, Seddik & Gerbaud, Laurent & Vinot, Emmanuel & Sonier, Benoît, 2018. "Energy storage sizing methodology for mass-transit direct-current wayside support: Application to French railway company case study," Applied Energy, Elsevier, vol. 230(C), pages 1673-1684.
    3. Arabkoohsar, A. & Andresen, G.B., 2017. "Design and analysis of the novel concept of high temperature heat and power storage," Energy, Elsevier, vol. 126(C), pages 21-33.
    4. Kai Xu & Youguang Guo & Gang Lei & Jianguo Zhu, 2023. "A Review of Flywheel Energy Storage System Technologies," Energies, MDPI, vol. 16(18), pages 1-32, September.
    5. 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).
    6. 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.
    7. Sergio Mayrink & Janaína G. Oliveira & Bruno H. Dias & Leonardo W. Oliveira & Juan S. Ochoa & Gustavo S. Rosseti, 2020. "Regenerative Braking for Energy Recovering in Diesel-Electric Freight Trains: A Technical and Economic Evaluation," Energies, MDPI, vol. 13(4), pages 1-16, February.
    8. Nursaid Polater & Pietro Tricoli, 2022. "Technical Review of Traction Drive Systems for Light Railways," Energies, MDPI, vol. 15(9), pages 1-26, April.
    9. 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.
    10. Elhoussin Elbouchikhi & Yassine Amirat & Gilles Feld & Mohamed Benbouzid & Zhibin Zhou, 2020. "A Lab-scale Flywheel Energy Storage System: Control Strategy and Domestic Applications," Energies, MDPI, vol. 13(3), pages 1-23, February.
    11. 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.

    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. Dettù, Federico & Pozzato, Gabriele & Rizzo, Denise M. & Onori, Simona, 2021. "Exergy-based modeling framework for hybrid and electric ground vehicles," Applied Energy, Elsevier, vol. 300(C).
    2. Wei, Ran & Liu, Xiaoyue & Ou, Yi & Kiavash Fayyaz, S., 2018. "Optimizing the spatio-temporal deployment of battery electric bus system," Journal of Transport Geography, Elsevier, vol. 68(C), pages 160-168.
    3. Shaobo Xie & Xiaosong Hu & Kun Lang & Shanwei Qi & Tong Liu, 2018. "Powering Mode-Integrated Energy Management Strategy for a Plug-In Hybrid Electric Truck with an Automatic Mechanical Transmission Based on Pontryagin’s Minimum Principle," Sustainability, MDPI, vol. 10(10), pages 1-23, October.
    4. Du, Jiuyu & Chen, Jingfu & Song, Ziyou & Gao, Mingming & Ouyang, Minggao, 2017. "Design method of a power management strategy for variable battery capacities range-extended electric vehicles to improve energy efficiency and cost-effectiveness," Energy, Elsevier, vol. 121(C), pages 32-42.
    5. Hu, Zechun & Zhan, Kaiqiao & Zhang, Hongcai & Song, Yonghua, 2016. "Pricing mechanisms design for guiding electric vehicle charging to fill load valley," Applied Energy, Elsevier, vol. 178(C), pages 155-163.
    6. Ba Hung, Nguyen & Jaewon, Sung & Lim, Ocktaeck, 2017. "A study of the effects of input parameters on the dynamics and required power of an electric bicycle," Applied Energy, Elsevier, vol. 204(C), pages 1347-1362.
    7. Sebastian Angermeier & Jonas Ketterer & Christian Karcher, 2020. "Liquid-Based Battery Temperature Control of Electric Buses," Energies, MDPI, vol. 13(19), pages 1-20, September.
    8. Shabbir, Wassif & Evangelou, Simos A., 2014. "Real-time control strategy to maximize hybrid electric vehicle powertrain efficiency," Applied Energy, Elsevier, vol. 135(C), pages 512-522.
    9. Tobias Nüesch & Philipp Elbert & Michael Flankl & Christopher Onder & Lino Guzzella, 2014. "Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs," Energies, MDPI, vol. 7(2), pages 1-23, February.
    10. García, Antonio & Monsalve-Serrano, Javier & Martinez-Boggio, Santiago & Zhao, Wenbin & Qian, Yong, 2022. "Intelligent charge compression ignition combustion for range extender medium duty applications," Renewable Energy, Elsevier, vol. 187(C), pages 671-687.
    11. Wieczorek, Maciej & Lewandowski, Mirosław, 2017. "A mathematical representation of an energy management strategy for hybrid energy storage system in electric vehicle and real time optimization using a genetic algorithm," Applied Energy, Elsevier, vol. 192(C), pages 222-233.
    12. Chen, Kunlong & Zheng, Fangdan & Jiang, Jiuchun & Zhang, Weige & Jiang, Yan & Chen, Kunjin, 2017. "Practical failure recognition model of lithium-ion batteries based on partial charging process," Energy, Elsevier, vol. 138(C), pages 1199-1208.
    13. Ercan, Tolga & Zhao, Yang & Tatari, Omer & Pazour, Jennifer A., 2015. "Optimization of transit bus fleet's life cycle assessment impacts with alternative fuel options," Energy, Elsevier, vol. 93(P1), pages 323-334.
    14. Dong, Peng & Zhao, Junwei & Liu, Xuewu & Wu, Jian & Xu, Xiangyang & Liu, Yanfang & Wang, Shuhan & Guo, Wei, 2022. "Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    15. Oh, Ki-Yong & Epureanu, Bogdan I., 2016. "Characterization and modeling of the thermal mechanics of lithium-ion battery cells," Applied Energy, Elsevier, vol. 178(C), pages 633-646.
    16. Hou, Cong & Ouyang, Minggao & Xu, Liangfei & Wang, Hewu, 2014. "Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 115(C), pages 174-189.
    17. Li, Liang & You, Sixiong & Yang, Chao & Yan, Bingjie & Song, Jian & Chen, Zheng, 2016. "Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses," Applied Energy, Elsevier, vol. 162(C), pages 868-879.
    18. Mahmoodi-k, Mehdi & Montazeri, Morteza & Madanipour, Vahid, 2021. "Simultaneous multi-objective optimization of a PHEV power management system and component sizing in real world traffic condition," Energy, Elsevier, vol. 233(C).
    19. Ioan Aschilean & Mihai Varlam & Mihai Culcer & Mariana Iliescu & Mircea Raceanu & Adrian Enache & Maria Simona Raboaca & Gabriel Rasoi & Constantin Filote, 2018. "Hybrid Electric Powertrain with Fuel Cells for a Series Vehicle," Energies, MDPI, vol. 11(5), pages 1-12, May.
    20. Kumar Sharma, Ameesh & Thakur, N.S., 2017. "Energy situation, current status and resource potential of run of the river (RoR) large hydro power projects in Jammu and Kashmir: India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 233-251.

    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:appene:v:157:y:2015:i:c:p:607-618. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.