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Establishment and Analysis of Energy Consumption Model of Heavy-Haul Train on Large Long Slope

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  • Qiwei Lu

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Bangbang He

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Mingzhe Wu

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Zhichun Zhang

    (Shenshuo Railway Branch Company of China Shenhua, Yulin 719316, China)

  • Jiantao Luo

    (Shenshuo Railway Branch Company of China Shenhua, Yulin 719316, China)

  • Yankui Zhang

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Runkai He

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Kunyu Wang

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

Abstract

AC heavy-haul trains produce a huge amount of regenerative braking energy when they run on long downhill sections. If this energy can be used by uphill trains in the same power supply section, a reduction in coal transportation cost and an improvement in power quality would result. To accurately predict the energy consumption and regenerative braking energy of heavy-haul trains on large long slopes, a single-particle model of train dynamics was used. According to the theory of railway longitudinal section simplification, the energy consumption and the regenerative braking energy model of a single train based on the train attributes, line conditions, and running speed was established. The model was applied and verified on the Shenshuo Railway. The results indicate that the percentage error of the proposed model is generally less than 10%. The model is a convenient and simple research alternative, with strong engineering feasibility. Based on this foundation, a model of train energy consumption was established under different interval lengths by considering the situation of regenerative braking energy in the multi-train operation mode. The model provides a theoretical foundation for future train diagram layout work with the goal of reducing the total train energy consumption.

Suggested Citation

  • Qiwei Lu & Bangbang He & Mingzhe Wu & Zhichun Zhang & Jiantao Luo & Yankui Zhang & Runkai He & Kunyu Wang, 2018. "Establishment and Analysis of Energy Consumption Model of Heavy-Haul Train on Large Long Slope," Energies, MDPI, vol. 11(4), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:965-:d:141676
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    References listed on IDEAS

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    1. Jianqiang Liu & Nan Zhao, 2017. "Research on Energy-Saving Operation Strategy for Multiple Trains on the Urban Subway Line," Energies, MDPI, vol. 10(12), pages 1-19, December.
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    Cited by:

    1. Qiwei Lu & Zhixuan Gao & Bangbang He & Cheng Che & Cong Wang, 2020. "Centralized-Decentralized Control for Regenerative Braking Energy Utilization and Power Quality Improvement in Modified AC-Fed Railways," Energies, MDPI, vol. 13(10), pages 1-31, May.
    2. Zhixuan Gao & Qiwei Lu & Cong Wang & Junqing Fu & Bangbang He, 2019. "Energy-Storage-Based Smart Electrical Infrastructure and Regenerative Braking Energy Management in AC-Fed Railways with Neutral Zones," Energies, MDPI, vol. 12(21), pages 1-24, October.
    3. Mo Chen & Zhuang Xiao & Pengfei Sun & Qingyuan Wang & Bo Jin & Xiaoyun Feng, 2019. "Energy-Efficient Driving Strategies for Multi-Train by Optimization and Update Speed Profiles Considering Transmission Losses of Regenerative Energy," Energies, MDPI, vol. 12(18), pages 1-25, September.
    4. Szymon Haładyn, 2021. "The Problem of Train Scheduling in the Context of the Load on the Power Supply Infrastructure. A Case Study," Energies, MDPI, vol. 14(16), pages 1-19, August.
    5. Ying Wang & Ya Guo & Xiaoqiang Chen & Yunpeng Zhang & Dong Jin & Jing Xie, 2023. "Research on the Energy Management Strategy of a Hybrid Energy Storage Type Railway Power Conditioner System," Energies, MDPI, vol. 16(15), pages 1-16, August.
    6. 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.
    7. Miguel Angel Rodriguez-Cabal & Diego Alejandro Herrera-Jaramillo & Juan David Bastidas-Rodriguez & Juan Pablo Villegas-Ceballos & Kevin Smit Montes-Villa, 2022. "Methodology for the Estimation of Electrical Power Consumed by Locomotives on Undocumented Railroad Tracks," Energies, MDPI, vol. 15(12), pages 1-23, June.
    8. 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.
    9. Qiwei Lu & Bangbang He & Zhixuan Gao & Cheng Che & Xuteng Wei & Jihui Ma & Zhichun Zhang & Jiantao Luo, 2019. "An Optimized Regulation Scheme of Improving the Effective Utilization of the Regenerative Braking Energy of the Whole Railway Line," Energies, MDPI, vol. 12(21), pages 1-19, October.

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