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Reducing carbon dioxide emissions in metallurgical production and conserving energy consumption during train operation

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  • Baranovskyi, Denys
  • Bulakh, Maryna

Abstract

This paper presents a solution to reduce carbon dioxide emissions in metallurgical production and conserving train energy consumption by lowering the mass of railcars. The study simultaneously focuses on reducing traction energy consumption in rail transport and lowering CO2 emissions from steel production, demonstrating an interdisciplinary engineering–environmental approach. A theoretical model for train energy consumption during movement across various track sections is developed, incorporating Newton's second law and accounting for forces such as traction, resistance, incline, and braking. The model simulates energy consumption for different speeds, gradients, section lengths, and travel times. Results indicate that energy consumption increases with higher speeds and steeper gradients, but decreases on descending sections, aligning with expected train dynamics. These findings are validated through experiments, showing a margin of error between 2.6% and 4.5%, confirming the model's accuracy. At a speed of 60 km/h, experimental and theoretical energy consumption for a straight section were nearly identical. Even on inclined and descending sections, discrepancies were minimal, supporting the model's reliability. Numerical simulations for a 40 km route at speeds between 60 and 160 km/h showed traction energy savings of 425.69–1199.65 kWh per train, while the railcar mass was reduced by 7.24% through design optimization. The forecast for railcar production to 2030 suggests an increase of 13.7%, which requires further structure optimization measures to minimize the environmental impact. According to the study, reducing the mass of railcars will reduce the need for steel by 1520.95–2465.24 tons per year, which will lead to a reduction in carbon dioxide emissions by 3041.91-4930.48 tons per year.

Suggested Citation

  • Baranovskyi, Denys & Bulakh, Maryna, 2026. "Reducing carbon dioxide emissions in metallurgical production and conserving energy consumption during train operation," Energy, Elsevier, vol. 347(C).
  • Handle: RePEc:eee:energy:v:347:y:2026:i:c:s0360544226004743
    DOI: 10.1016/j.energy.2026.140371
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    1. Cipek, Mihael & Pavković, Danijel & Krznar, Matija & Kljaić, Zdenko & Mlinarić, Tomislav Josip, 2021. "Comparative analysis of conventional diesel-electric and hypothetical battery-electric heavy haul locomotive operation in terms of fuel savings and emissions reduction potentials," Energy, Elsevier, vol. 232(C).
    2. Andrzej Chmielowiec, 2021. "Algorithm for error-free determination of the variance of all contiguous subsequences and fixed-length contiguous subsequences for a sequence of industrial measurement data," Computational Statistics, Springer, vol. 36(4), pages 2813-2840, December.
    3. Wang, Pengling & Goverde, Rob M.P., 2019. "Multi-train trajectory optimization for energy-efficient timetabling," European Journal of Operational Research, Elsevier, vol. 272(2), pages 621-635.
    4. Willem Haanstra & Alberto Martinetti & Jan Braaksma & Leo van Dongen, 2020. "Design of a Framework for Integrating Environmentally Sustainable Design Principles and Requirements in Train Modernization Projects," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    5. Aredah, Ahmed & Fadhloun, Karim & Rakha, Hesham A., 2024. "Energy optimization in freight train operations: Algorithmic development and testing," Applied Energy, Elsevier, vol. 364(C).
    6. Arens, Marlene & Åhman, Max & Vogl, Valentin, 2021. "Which countries are prepared to green their coal-based steel industry with electricity? - Reviewing climate and energy policy as well as the implementation of renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    7. Jana Gerta Backes & Julian Suer & Nils Pauliks & Sabrina Neugebauer & Marzia Traverso, 2021. "Life Cycle Assessment of an Integrated Steel Mill Using Primary Manufacturing Data: Actual Environmental Profile," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    8. Andrzej Kochan & Wiktor B. Daszczuk & Waldemar Grabski & Juliusz Karolak, 2023. "Formal Verification of the European Train Control System (ETCS) for Better Energy Efficiency Using a Timed and Asynchronous Model," Energies, MDPI, vol. 16(8), pages 1-22, April.
    9. Zuo, Jianyong & Dong, Liwei & Yang, Fan & Guo, Ziheng & Wang, Tianpeng & Zuo, Lei, 2023. "Energy harvesting solutions for railway transportation: A comprehensive review," Renewable Energy, Elsevier, vol. 202(C), pages 56-87.
    10. 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).
    11. Zhou, Wenliang & Huang, Yu & Deng, Lianbo & Qin, Jin, 2023. "Collaborative optimization of energy-efficient train schedule and train circulation plan for urban rail," Energy, Elsevier, vol. 263(PA).
    12. Dengke Li & Shiwen Chen & Yingmou Zhu & Ang Qiu & Zhiyuan Liao & Xiaodong Liu & Longjiang Shen & Guiyu Jian, 2023. "Application of Algorithm for Inventive Problem Solving (ARIZ) for the Heat Dissipation of Energy Storage Supply System for High-Power Locomotive," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    13. Xiaowen Wang & Zhuang Xiao & Mo Chen & Pengfei Sun & Qingyuan Wang & Xiaoyun Feng, 2020. "Energy-Efficient Speed Profile Optimization and Sliding Mode Speed Tracking for Metros," Energies, MDPI, vol. 13(22), pages 1-29, November.
    14. Zdenko Kljaić & Danijel Pavković & Mihael Cipek & Maja Trstenjak & Tomislav Josip Mlinarić & Mladen Nikšić, 2023. "An Overview of Current Challenges and Emerging Technologies to Facilitate Increased Energy Efficiency, Safety, and Sustainability of Railway Transport," Future Internet, MDPI, vol. 15(11), pages 1-44, October.
    15. Sergey Goolak & Liliia Kondratieva & Ievgen Riabov & Vaidas Lukoševičius & Artūras Keršys & Rolandas Makaras, 2023. "Research and Optimization of Hybrid On-Board Energy Storage System of an Electric Locomotive for Quarry Rail Transport," Energies, MDPI, vol. 16(7), pages 1-19, April.
    16. Maryna Bulakh & Leszek Klich & Oleksandra Baranovska & Anastasiia Baida & Sergiy Myamlin, 2023. "Reducing Traction Energy Consumption with a Decrease in the Weight of an All-Metal Gondola Car," Energies, MDPI, vol. 16(18), pages 1-12, September.
    17. Qiu, Ziyang & Yue, Qiang & Yan, Tianyi & Wang, Qi & Sun, Jingchao & Yuan, Yuxing & Che, Zichang & Wang, Yisong & Du, Tao, 2023. "Gas utilization optimization and exergy analysis of hydrogen metallurgical shaft furnace," Energy, Elsevier, vol. 263(PC).
    18. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    19. Qiang Yue & Xicui Chai & Yujie Zhang & Qi Wang & Heming Wang & Feng Zhao & Wei Ji & Yuqi Lu, 2023. "Analysis of iron and steel production paths on the energy demand and carbon emission in China’s iron and steel industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4065-4085, May.
    20. Zhou, Housheng & Qi, Jianguo & Yang, Lixing & Shi, Jungang & Pan, Hanchuan & Gao, Yuan, 2022. "Joint optimization of train timetabling and rolling stock circulation planning: A novel flexible train composition mode," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 352-385.
    21. Shuai Su & Tao Tang & Yihui Wang, 2016. "Evaluation of Strategies to Reducing Traction Energy Consumption of Metro Systems Using an Optimal Train Control Simulation Model," Energies, MDPI, vol. 9(2), pages 1-19, February.
    22. Kapetanović, Marko & Núñez, Alfredo & van Oort, Niels & Goverde, Rob M.P., 2021. "Reducing fuel consumption and related emissions through optimal sizing of energy storage systems for diesel-electric trains," Applied Energy, Elsevier, vol. 294(C).
    23. Fei Shang & Jingyuan Zhan & Yangzhou Chen, 2020. "Energy-Saving Train Regulation for Metro Lines Using Distributed Model Predictive Control," Energies, MDPI, vol. 13(20), pages 1-18, October.
    24. Fan, Chengliang & Li, Hai & Zhang, Zutao & Pan, Yajia & Wu, Xiaoping & Ahmed, Ammar, 2023. "An H-shaped coupler energy harvester for application in heavy railways," Energy, Elsevier, vol. 270(C).
    25. Pan, Deng & Zhao, Liting & Luo, Qing & Zhang, Chuansheng & Chen, Zejun, 2018. "Study on the performance improvement of urban rail transit system," Energy, Elsevier, vol. 161(C), pages 1154-1171.
    26. 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).
    27. 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.
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