IDEAS home Printed from https://ideas.repec.org/a/taf/tjrtxx/v6y2018i1p16-37.html
   My bibliography  Save this article

Model-based comparison of hybrid propulsion systems for railway diesel multiple units

Author

Listed:
  • Sebastian Schmid
  • Kambiz Ebrahimi
  • Antonios Pezouvanis
  • Walter Commerell

Abstract

In order to reduce operating costs, railway vehicle operators need to find technical solutions to improve the efficiency of railway diesel multiple units on non-electrified railway routes. This can be achieved by hybridization of diesel multiple unit propulsion systems with electrical energy storage systems to enable brake energy recuperation. After highlighting the state of the art of hybrid railway vehicles and electrical energy storage systems, a simulation model of a generic diesel multiple unit in a 3-car formation is developed and equipped with three types of hybrid power transmissions. Simulations on realistic service profiles with different driving strategies show the potential for fuel consumption reduction for the different transmission types. On a suburban service profile, a 3-car diesel multiple unit is able to achieve simulated fuel savings of up to 24.1% and up to 18.9% on a regional service profile.

Suggested Citation

  • Sebastian Schmid & Kambiz Ebrahimi & Antonios Pezouvanis & Walter Commerell, 2018. "Model-based comparison of hybrid propulsion systems for railway diesel multiple units," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 6(1), pages 16-37, January.
    • Handle: RePEc:taf:tjrtxx:v:6:y:2018:i:1:p:16-37
    DOI: 10.1080/23248378.2017.1390790
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23248378.2017.1390790
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23248378.2017.1390790?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.

    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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tjrtxx:v:6:y:2018:i:1:p:16-37. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjrt20 .

    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.