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In-depth Life Cycle Cost Analysis of a Hydrogen Electric Multiple Unit.pdf (592.6Kb)
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Title
In-depth Life Cycle Cost Analysis of a Hydrogen Electric Multiple Unit
Author
Aizpuru, Iosu
Author (from another institution)
Olmos Amondarain, Josu
Saez de Ibarra Martínez de Contrasta, Andoni
Gaztañaga Arantzamendi, Haizea
López, Dimas
Nieva Fatela, Txomin
Research Group
Almacenamiento de energía
Sistemas electrónicos de potencia aplicados al control de la energía eléctrica
Other institutions
Ikerlan
Construcciones y Auxiliar de Ferrocarriles (CAF)
Version
Postprint
Rights
© 2021 IEEE
Access
Open access
URI
https://hdl.handle.net/20.500.11984/5594
Publisher’s version
https://doi.org/10.1109/VPPC53923.2021.9699227
Published at
2021 IEEE Vehicle Power and Propulsion Conference (VPPC)  25-28 de Octubre 2021
Publisher
IEEE
Keywords
lithium-ion batteries
Sensitivity analysis
Hydrogen
Fuel cells ... [+]
lithium-ion batteries
Sensitivity analysis
Hydrogen
Fuel cells
Propulsion
Rail transportation
Fuels [-]
Abstract
This paper analyses the life cycle costs of railway projects involving hydrogen electric multiple units. The analysis focuses on the interrelation between the selected lithium-ion battery technology, ... [+]
This paper analyses the life cycle costs of railway projects involving hydrogen electric multiple units. The analysis focuses on the interrelation between the selected lithium-ion battery technology, the designed energy management strategy, and the fuel cell and battery sizes. In particular, 3 lithium-ion battery technologies and 4 strategies are proposed, leading to a sensitivity analysis composed of 12 cases. For each case, an approach for the optimal sizing of the fuel cell and battery is proposed. A scenario based on a real railway line is introduced and the obtained results are compared with the performance of a traditional diesel-electric multiple unit. The results show that a reduction of the hydrogen price is required so as the hydrogen-based option becomes competitive compared to the diesel-based one. The best result of the sensitivity analysis is obtained with an off-line optimization-based strategy and LTO batteries. [-]
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