IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i23p8120-d694766.html
   My bibliography  Save this article

Improvement of Energy Savings in Electric Railways Using Coasting Technique

Author

Listed:
  • Donato Morea

    (Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Via Marengo, 2, 09123 Cagliari, Italy)

  • Stefano Elia

    (Department of Astronautical, Electrical and Energy Engineering, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy)

  • Chiara Boccaletti

    (Department of Astronautical, Electrical and Energy Engineering, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy)

  • Pasquale Buonadonna

    (Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Via Marengo, 2, 09123 Cagliari, Italy)

Abstract

The main goal of this work is the evaluation of the energy saving achievable in railway drive when using the coasting technique extensively, with reference to a practical case of the Italian railway network taken as an example. This technique consists in exploiting the kinetic energy accumulated by the running train whenever possible. To implement a driving style on purpose, the only driver contribution is not enough; indeed, it is necessary to provide an embedded automatic calculation control system. In the paper, an algorithm has been developed to evaluate the energy absorption of railway locomotives during the normal service and validated on a real railway line. The proposed hardware and software system could be implemented aboard the train, allowing motion data processing in real-time. Speed, time intervals and power absorption for a given path are calculated; then, the best coasting parameters are estimated to maximize the energy savings. In particular, the case study presented in the paper showed that the fast-run strategy, always adopted by the railway company to recover an unexpected delay, can lead to a negligible time recovery with respect to the coasting strategy, while determining a significantly larger energy consumption.

Suggested Citation

  • Donato Morea & Stefano Elia & Chiara Boccaletti & Pasquale Buonadonna, 2021. "Improvement of Energy Savings in Electric Railways Using Coasting Technique," Energies, MDPI, vol. 14(23), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:8120-:d:694766
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/23/8120/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/23/8120/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Małgorzata Ćwil & Witold Bartnik & Sebastian Jarzębowski, 2021. "Railway Vehicle Energy Efficiency as a Key Factor in Creating Sustainable Transportation Systems," Energies, MDPI, vol. 14(16), pages 1-14, August.
    2. Mariano Gallo & Marilisa Botte & Antonio Ruggiero & Luca D’Acierno, 2020. "A Simulation Approach for Optimising Energy-Efficient Driving Speed Profiles in Metro Lines," Energies, MDPI, vol. 13(22), pages 1-17, November.
    3. Stefano Elia & Massimo Battistin, 2015. "Energy consumption evaluation for sports centers: a method based on optimization classes and qualitative dashboards," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(1), pages 133-144.
    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. Donato Morea & Mohamad El Mehtedi & Pasquale Buonadonna, 2023. "Energy Context: Analysis of Selected Studies and Future Research Developments," Energies, MDPI, vol. 16(3), pages 1-6, February.
    2. Mihaela Popescu, 2022. "Energy Efficiency in Electric Transportation Systems," Energies, MDPI, vol. 15(21), pages 1-5, November.
    3. Zhang, Zhenyu & Cheng, Xiaoqing & Xing, Zongyi & Gui, Xingdong, 2023. "Pareto multi-objective optimization of metro train energy-saving operation using improved NSGA-II algorithms," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    4. Franciszek Restel & Szymon Mateusz Haładyn, 2022. "The Railway Timetable Evaluation Method in Terms of Operational Robustness against Overloads of the Power Supply System," Energies, MDPI, vol. 15(17), pages 1-17, September.
    5. Artur Kierzkowski & Szymon Haładyn, 2022. "Method for Reconfiguring Train Schedules Taking into Account the Global Reduction of Railway Energy Consumption," Energies, MDPI, vol. 15(5), pages 1-18, March.
    6. Xing, Zongyi & Zhang, Zhenyu & Guo, Jian & Qin, Yong & Jia, Limin, 2023. "Rail train operation energy-saving optimization based on improved brute-force search," Applied Energy, Elsevier, vol. 330(PA).

    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. Arkadiusz Kampczyk & Wojciech Gamon & Katarzyna Gawlak, 2023. "Integration of Traction Electricity Consumption Determinants with Route Geometry and Vehicle Characteristics," Energies, MDPI, vol. 16(6), pages 1-23, March.
    2. Shohreh Moradi & Hamid Reza Ahadi & Grzegorz Sierpiński, 2023. "Sustainable Management of Railway Companies Amid Inflation and Reduced Government Subsidies: A System Dynamics Approach," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    3. Monika Roman, 2022. "Sustainable Transport: A State-of-the-Art Literature Review," Energies, MDPI, vol. 15(23), pages 1-14, November.
    4. Shohreh Moradi & Grzegorz Sierpiński & Houshmand Masoumi, 2022. "System Dynamics Modeling and Fuzzy MCDM Approach as Support for Assessment of Sustainability Management on the Example of Transport Sector Company," Energies, MDPI, vol. 15(13), pages 1-27, July.
    5. Sergey Goolak & Viktor Tkachenko & Svitlana Sapronova & Vaidas Lukoševičius & Robertas Keršys & Rolandas Makaras & Artūras Keršys & Borys Liubarskyi, 2022. "Synthesis of the Current Controller of the Vector Control System for Asynchronous Traction Drive of Electric Locomotives," Energies, MDPI, vol. 15(7), pages 1-19, March.
    6. Gianfranco Di Lorenzo & Erika Stracqualursi & Rodolfo Araneo, 2022. "The Journey Towards the Energy Transition: Perspectives from the International Conference on Environment and Electrical Engineering (EEEIC)," Energies, MDPI, vol. 15(18), pages 1-5, September.
    7. Sahil Bhagat & Jacopo Bongiorno & Andrea Mariscotti, 2023. "Influence of Infrastructure and Operating Conditions on Energy Performance of DC Transit Systems," Energies, MDPI, vol. 16(10), pages 1-26, May.
    8. Elżbieta Szaruga & Elżbieta Załoga & Arkadiusz Drewnowski & Paulina Dąbrosz-Drewnowska, 2023. "Convergence of Energy Intensity of the Export of Goods by Rail Transport: Linkages with the Spatial Integration and Economic Condition of Countries," Energies, MDPI, vol. 16(9), pages 1-24, April.

    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:gam:jeners:v:14:y:2021:i:23:p:8120-:d:694766. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.