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Optimization of the loading plan for a railway wagon from the perspectives of running safety and energy conservation

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  • Zhang, Duo
  • Zhou, Fang-Ru
  • Tang, Yin-Ying
  • Tao, Zi-Yu
  • Peng, Qi-Yuan

Abstract

The improvement in running safety and energy efficiency of railway freight transportation brings about great social and environmental benefits. This paper proposes a novel strategy for promoting the curving performance and reducing driving energy consumption by optimizing the position of the wagon's combined center of gravity (CCOG) when loading the cargo. The dynamics analysis of the vehicle model is conducted to reveal the effect of CCOG position. Based on the simulation results of the established and verified multibody dynamics model, the critical role that CCOG plays in driving energy consumption is investigated, which is proved to be different from the relationship between CCOG and the wheel unloading ratio. Furthermore, the optimal velocity of the specified loaded wagon is inferred to be about 26 m/s, and the small radius curve is demonstrated to be the worse working condition in most cases. Finally, the Pareto-optimal solutions of the CCOG position are derived, and their superiorities in running safety and energy conservation are validated. The proposed methodology which realizes the multi-objective optimization of the CCOG position can be applied to set other parameters of the railway wagon.

Suggested Citation

  • Zhang, Duo & Zhou, Fang-Ru & Tang, Yin-Ying & Tao, Zi-Yu & Peng, Qi-Yuan, 2023. "Optimization of the loading plan for a railway wagon from the perspectives of running safety and energy conservation," Energy, Elsevier, vol. 280(C).
  • Handle: RePEc:eee:energy:v:280:y:2023:i:c:s0360544223016237
    DOI: 10.1016/j.energy.2023.128229
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    References listed on IDEAS

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    1. Yang, Fan & Gao, Mingyuan & Wang, Ping & Zuo, Jianyong & Dai, Jun & Cong, Jianli, 2021. "Efficient piezoelectric harvester for random broadband vibration of rail," Energy, Elsevier, vol. 218(C).
    2. Zhang, Xingtian & Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yuan, Yanping & Liu, Yujie, 2017. "A renewable energy harvesting system using a mechanical vibration rectifier (MVR) for railroads," Applied Energy, Elsevier, vol. 204(C), pages 1535-1543.
    3. Parizad, Ali & Hatziadoniu, Konstadinos, 2020. "Security/stability-based Pareto optimal solution for distribution networks planning implementing NSGAII/FDMT," Energy, Elsevier, vol. 192(C).
    4. Zhang, Duo & Tang, Yin-Ying & Peng, Qi-Yuan, 2023. "A novel approach for decreasing driving energy consumption during coasting and cruise for the railway vehicle," Energy, Elsevier, vol. 263(PA).
    5. Dong, Liwei & Zuo, Jianyong & Wang, Tianpeng & Xue, Wenbin & Wang, Ping & Li, Jun & Yang, Fan, 2022. "Enhanced piezoelectric harvester for track vibration based on tunable broadband resonant methodology," Energy, Elsevier, vol. 254(PA).
    6. Liu, Minzhang & Zhu, Chunguang & Zhang, Huan & Zheng, Wandong & You, Shijun & Campana, Pietro Elia & Yan, Jinyue, 2019. "The environment and energy consumption of a subway tunnel by the influence of piston wind," Applied Energy, Elsevier, vol. 246(C), pages 11-23.
    7. Zhang, Liufeng & Zhang, Feibin & Qin, Zhaoye & Han, Qinkai & Wang, Tianyang & Chu, Fulei, 2022. "Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring," Energy, Elsevier, vol. 238(PB).
    8. Wang, Yifeng & Li, Shoutai & Gao, Mingyuan & Ouyang, Huajiang & He, Qing & Wang, Ping, 2021. "Analysis, design and testing of a rolling magnet harvester with diametrical magnetization for train vibration," Applied Energy, Elsevier, vol. 300(C).
    9. Li, Wenxin & Peng, Qiyuan & Wen, Chao & Wang, Pengling & Lessan, Javad & Xu, Xinyue, 2020. "Joint optimization of delay-recovery and energy-saving in a metro system: A case study from China," Energy, Elsevier, vol. 202(C).
    10. Gao, Mingyuan & Cong, Jianli & Xiao, Jieling & He, Qing & Li, Shoutai & Wang, Yuan & Yao, Ye & Chen, Rong & Wang, Ping, 2020. "Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport," Applied Energy, Elsevier, vol. 257(C).
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