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Trading off energy storage and payload – An analytical model for freight train configuration

Max T.M. Ng, Adrian Hernandez, Pablo L. Durango-Cohen and Hani S. Mahmassani

Transportation Research Part E: Logistics and Transportation Review, 2024, vol. 187, issue C

Abstract: To support planning of alternative fuel technology (e.g., battery-electric locomotives) deployment for decarbonizing non-electrified freight rail, we develop a convex optimization formulation with a closed-form solution to determine the optimal number of energy storage tender cars in a train. The formulation shares a similar structure to an Economic Order Quantity (EOQ) model. For given market characteristics, cost forecasts, and technology parameters, our model captures the trade-offs between inventory carrying costs associated with trip times (including delays due to charging/refueling) and ordering costs associated with train dispatch and operation (energy, amortized equipment, and labor costs).

Keywords: Rail freight; Decarbonization; Battery-electric; Battery tender; Energy storage tender cars (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tre.2024.103601

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