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- W4313123583 abstract "Although freight rail is one of the most energy-efficient modes of freight transport, there is increasing pressure to cut greenhouse gas (GHG) emissions in light of climate change. Since catenary (i.e., overhead wire) electric locomotives are not appealing in the U.S. due to the private ownership nature of railways, this paper presents a tool to predict the sizing and cost of deploying battery-electric freight rail fast charging stations, which will integrate with a network train simulator to examine various energy pathways to decarbonizing U.S. rail. Fast-charging stations at the power level >1 MW require a demand buffer between the grid and pulsed charging loads, especially in remote rural areas. To mitigate grid demand while ensuring efficient emission-free power sourcing, on-site BESS and renewable energy sources are used. Steady-state models are developed for each station subsystem, including multiple options for energy storage, renewable sources, and power electronics. Charging station behavior is simulated using realistic input data. The tool uses the simulator to produce optimally-sized designs through multi-objective optimization to facilitate trade-off comparisons between the BESS and on-site renewables." @default.
- W4313123583 created "2023-01-06" @default.
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- W4313123583 date "2022-06-26" @default.
- W4313123583 modified "2023-09-24" @default.
- W4313123583 title "Sizing BESS and On-site Renewable for Battery-electric Freight Rail Charging Station" @default.
- W4313123583 doi "https://doi.org/10.1109/pedg54999.2022.9923179" @default.
- W4313123583 hasPublicationYear "2022" @default.
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