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Reduction of Energy Consumption by Electric Rolling Stock of Quarry Railways

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TRANSBALTICA XIV: Transportation Science and Technology (TRANSBALTICA 2023)

Abstract

In this work, the reduction of traction energy consumption with an on-board energy storage system on an electric locomotive of quarry railway transport trains has been investigated. To carry out the calculations, a mathematical model of energy processes in the traction system of the electric locomotive has been developed following modes: traction, electrodynamic braking, and maneuvering. For the determination of energy savings, the method which is based on the analysis of the tangential power dependences of the electric locomotive has been proposed. It was established, that the use of an on-board energy storage system on an electric locomotive provides a reduction of energy consumption by approximately 10% and it is practically independent of the energy storage power. The maximum power consumed from the traction network is reduced during the exploitation the on-board energy storage system. The reduction of energy consumption has been also established by about 10% if applied recuperative electrodynamic braking of the electric locomotive without on-board energy storage system. Taking into account that reduction of energy consumption from the traction network contributes to the reduction of losses in it, as well as the possibility of providing autonomous movement, the use of an on-board energy storage system becomes a priority. The practical value is a development of methods for estimating energy consumption by electric rolling stock in the case of using on-board energy storage systems and modeling the systems with energy storage systems.

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Correspondence to Liliia Kondratieva .

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Kondratieva, L., Overianova, L., Riabov, I., Yeritsyan, B., Goolak, S. (2024). Reduction of Energy Consumption by Electric Rolling Stock of Quarry Railways. In: Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Karpenko, M., Stosiak, M. (eds) TRANSBALTICA XIV: Transportation Science and Technology. TRANSBALTICA 2023. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-52652-7_51

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  • DOI: https://doi.org/10.1007/978-3-031-52652-7_51

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  • Online ISBN: 978-3-031-52652-7

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