IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v36y2011i11p6577-6582.html
   My bibliography  Save this article

Study on the maximum operation speeds of metro trains for energy saving as well as transport efficiency improvement

Author

Listed:
  • Feng, Xuesong
  • Mao, Baohua
  • Feng, Xujie
  • Feng, Jia

Abstract

By following a computer-aided simulation procedure, this research analyzes the traction energy cost and transport operation time per 10,000 passenger-kilometers of two representative types of metro trains in China under various top speeds between different stations along a hypothetically straight and smooth metro line, from the perspective of both energy saving and transport efficiency improvement in consideration of multi-factors. It is empirically confirmed that if the transport distance between stops is shorter than 1,800 m, the metro trains should set their maximum speeds lower than 70 km/h but higher than 30 km/h. And a shorter stop-spacing requires a lower maximum speed in this speed range to get the least costs of energy and time. The exact value of the maximum speed in this speed range ought to be further determined based on the integrated performances of the train’s passenger capacity, engines, streamline body design, etc. If the transport distance is longer than 1,800 m, the generalized expense of energy and time per 10,000 passenger-kilometers decreases with the increase of the maximum speed of a train. Nevertheless, such decreases become very slow when the maximum speeds of the trains exceed 70 km/h.

Suggested Citation

  • Feng, Xuesong & Mao, Baohua & Feng, Xujie & Feng, Jia, 2011. "Study on the maximum operation speeds of metro trains for energy saving as well as transport efficiency improvement," Energy, Elsevier, vol. 36(11), pages 6577-6582.
  • Handle: RePEc:eee:energy:v:36:y:2011:i:11:p:6577-6582
    DOI: 10.1016/j.energy.2011.09.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544211006013
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2011.09.004?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. Schafer, Andreas & Victor, David G., 1999. "Global passenger travel: implications for carbon dioxide emissions," Energy, Elsevier, vol. 24(8), pages 657-679.
    2. Wong, W. G. & Han, B. M. & Ferreira, L. & Zhu, X. N. & Sun, Q. X., 2002. "Evaluation of management strategies for the operation of high-speed railways in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(3), pages 277-289, March.
    3. Liu, Rongfang (Rachel) & Golovitcher, Iakov M., 2003. "Energy-efficient operation of rail vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 917-932, December.
    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. Kang, Liujiang & Sun, Huijun & Wu, Jianjun & Gao, Ziyou, 2020. "Last train station-skipping, transfer-accessible and energy-efficient scheduling in subway networks," Energy, Elsevier, vol. 206(C).
    2. Huang, Yeran & Yang, Lixing & Tang, Tao & Gao, Ziyou & Cao, Fang, 2017. "Joint train scheduling optimization with service quality and energy efficiency in urban rail transit networks," Energy, Elsevier, vol. 138(C), pages 1124-1147.
    3. Sui, Yang & Niu, Jiqiang & Yu, Qiujun & Yuan, Yanping & Cao, Xiaoling & Yang, Xiaofeng, 2021. "Numerical analysis of the aerothermodynamic behavior of a Hyperloop in choked flow," Energy, Elsevier, vol. 237(C).
    4. Wang, Jinghui & Rakha, Hesham A., 2017. "Electric train energy consumption modeling," Applied Energy, Elsevier, vol. 193(C), pages 346-355.
    5. Scarpellini, S. & Valero, A. & Llera, E. & Aranda, A., 2013. "Multicriteria analysis for the assessment of energy innovations in the transport sector," Energy, Elsevier, vol. 57(C), pages 160-168.
    6. Xuesong Feng & Hanxiao Zhang & Yong Ding & Zhili Liu & Hongqin Peng & Bin Xu, 2013. "A Review Study on Traction Energy Saving of Rail Transport," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-9, September.
    7. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Palombo, Adolfo, 2020. "Enhancing trains envelope – heating, ventilation, and air conditioning systems: A new dynamic simulation approach for energy, economic, environmental impact and thermal comfort analyses," Energy, Elsevier, vol. 204(C).
    8. Tomita, Masaru & Suzuki, Kenji & Fukumoto, Yusuke & Ishihara, Atsushi & Akasaka, Tomoyuki & Kobayashi, Yusuke, 2017. "Energy-saving railway systems based on superconducting power transmission," Energy, Elsevier, vol. 122(C), pages 579-587.
    9. Ning, Jingjie & Zhou, Yonghua & Long, Fengchu & Tao, Xin, 2018. "A synergistic energy-efficient planning approach for urban rail transit operations," Energy, Elsevier, vol. 151(C), pages 854-863.
    10. Lee, Chung-Yee & Lee, Hau L. & Zhang, Jiheng, 2015. "The impact of slow ocean steaming on delivery reliability and fuel consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 176-190.

    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. Feng, Xuesong, 2011. "Optimization of target speeds of high-speed railway trains for traction energy saving and transport efficiency improvement," Energy Policy, Elsevier, vol. 39(12), pages 7658-7665.
    2. Felipe Jiménez & Wilmar Cabrera-Montiel, 2014. "System for Road Vehicle Energy Optimization Using Real Time Road and Traffic Information," Energies, MDPI, vol. 7(6), pages 1-23, June.
    3. Albrecht, Amie & Howlett, Phil & Pudney, Peter & Vu, Xuan & Zhou, Peng, 2016. "The key principles of optimal train control—Part 1: Formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 482-508.
    4. Stefan Arens & Sunke Schlüters & Benedikt Hanke & Karsten von Maydell & Carsten Agert, 2020. "Sustainable Residential Energy Supply: A Literature Review-Based Morphological Analysis," Energies, MDPI, vol. 13(2), pages 1-28, January.
    5. Ziyu Wu & Chunhai Gao & Tao Tang, 2021. "An Optimal Train Speed Profile Planning Method for Induction Motor Traction System," Energies, MDPI, vol. 14(16), pages 1-14, August.
    6. Li, Jiajie & Bai, Yun & Chen, Yao & Yang, Lingling & Wang, Qian, 2022. "A two-stage stochastic optimization model for integrated tram timetable and speed control with uncertain dwell times," Energy, Elsevier, vol. 260(C).
    7. 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.
    8. Poudenx, Pascal, 2008. "The effect of transportation policies on energy consumption and greenhouse gas emission from urban passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 901-909, July.
    9. Orlando Reyes. & Roberto Escalante. & Anna Matas., 2010. "La demanda de gasolinas en México: Efectos y alternativas ante el cambio climático," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 32(1), pages 83-111, Enero-Jun.
    10. Peeters, Paul & Dubois, Ghislain, 2010. "Tourism travel under climate change mitigation constraints," Journal of Transport Geography, Elsevier, vol. 18(3), pages 447-457.
    11. Hyunsu Choi & Dai Nakagawa & Ryoji Matsunaka & Tetsuharu Oba & Jongjin Yoon, 2013. "Research on the causal relationship between urban density, travel behaviours, and transportation energy consumption by economic level," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 17(3), pages 362-384, November.
    12. Canca, David & Zarzo, Alejandro, 2017. "Design of energy-Efficient timetables in two-way railway rapid transit lines," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 142-161.
    13. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    14. Yunqiang Xue & Hongzhi Guan & Jonathan Corey & Heng Wei & Hai Yan, 2017. "Quantifying a Financially Sustainable Strategy of Public Transport: Private Capital Investment Considering Passenger Value," Sustainability, MDPI, vol. 9(2), pages 1-20, February.
    15. Agostinho Rocha & Armando Araújo & Adriano Carvalho & João Sepulveda, 2018. "A New Approach for Real Time Train Energy Efficiency Optimization," Energies, MDPI, vol. 11(10), pages 1-21, October.
    16. Takeshita, Takayuki, 2012. "Assessing the co-benefits of CO2 mitigation on air pollutants emissions from road vehicles," Applied Energy, Elsevier, vol. 97(C), pages 225-237.
    17. Luan, Xiaojie & Wang, Yihui & De Schutter, Bart & Meng, Lingyun & Lodewijks, Gabriel & Corman, Francesco, 2018. "Integration of real-time traffic management and train control for rail networks - Part 2: Extensions towards energy-efficient train operations," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 72-94.
    18. Luijt, Ralph S. & van den Berge, Maarten P.F. & Willeboordse, Helen Y. & Hoogenraad, Jan H., 2017. "5years of Dutch eco-driving: Managing behavioural change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 46-63.
    19. Albrecht, Amie & Howlett, Phil & Pudney, Peter & Vu, Xuan & Zhou, Peng, 2016. "The key principles of optimal train control—Part 2: Existence of an optimal strategy, the local energy minimization principle, uniqueness, computational techniques," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 509-538.
    20. Bosupeng Mpho, 2017. "Is China’s target of a 40-45% reduction in carbon dioxide emission plausible?," Environmental & Socio-economic Studies, Sciendo, vol. 5(1), pages 46-50, March.

    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:36:y:2011:i:11:p:6577-6582. 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.