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Assessment of battery-hybrid diesel-electric locomotive fuel savings and emission reduction potentials based on a realistic mountainous rail route

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  • Cipek, Mihael
  • Pavković, Danijel
  • Kljaić, Zdenko
  • Mlinarić, Tomislav Josip

Abstract

This paper presents a hypothetical conversion of a conventional heavy haul diesel-electric locomotive to its hybrid counterpart by incorporating a battery energy storage system. Starting from the basic parameters of a 1.6 MW diesel-electric locomotive currently found in the national railway company locomotive fleet, the quasi-static model of the locomotive is derived and validated. The conventional locomotive model is then converted to its hybrid counterpart by adding a battery energy storage system in parallel to the generator and equipping it with an adequate optimized energy management control strategy. The hybrid locomotive powertrain components are also appropriately re-sized in order to meet comparable traction force and power performance. Both the conventional and hybridized locomotive models are then used for the purpose of comparative analysis of main vehicle characteristics for the mountainous railway route driving scenario, which includes realistic slope and speed limitations. The obtained simulation results are used to gain insights about the possible advantages of the proposed conversion/drivetrain hybridization in terms of feasible reduction of fuel consumption and related CO2 emissions, while also considering additional hybridization costs and return-of-investment period.

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  • Cipek, Mihael & Pavković, Danijel & Kljaić, Zdenko & Mlinarić, Tomislav Josip, 2019. "Assessment of battery-hybrid diesel-electric locomotive fuel savings and emission reduction potentials based on a realistic mountainous rail route," Energy, Elsevier, vol. 173(C), pages 1154-1171.
  • Handle: RePEc:eee:energy:v:173:y:2019:i:c:p:1154-1171
    DOI: 10.1016/j.energy.2019.02.144
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    4. Zhang, Chi & Zeng, Guohong & Wu, Jian & Wei, Shaoyuan & Zhang, Weige & Sun, Bingxiang, 2023. "Integrated optimization of driving strategy and energy management for hybrid diesel multiple units," Energy, Elsevier, vol. 281(C).
    5. Chen, Shuang & Hu, Minghui & Lei, Yanlei & Kong, Linghao, 2023. "Novel hybrid power system and energy management strategy for locomotives," Applied Energy, Elsevier, vol. 348(C).
    6. 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).
    7. Nursaid Polater & Pietro Tricoli, 2022. "Technical Review of Traction Drive Systems for Light Railways," Energies, MDPI, vol. 15(9), pages 1-26, April.
    8. 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.
    9. Aredah, Ahmed & Du, Jianhe & Hegazi, Mohamed & List, George & Rakha, Hesham A., 2024. "Comparative analysis of alternative powertrain technologies in freight trains: A numerical examination towards sustainable rail transport," Applied Energy, Elsevier, vol. 356(C).
    10. 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).
    11. Matija Krznar & Petar Piljek & Denis Kotarski & Danijel Pavković, 2021. "Modeling, Control System Design and Preliminary Experimental Verification of a Hybrid Power Unit Suitable for Multirotor UAVs," Energies, MDPI, vol. 14(9), pages 1-24, May.

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