Model of high-speed train energy consumption

In the hardening energy context, the transport sector which constitutes a large worldwide energy demand has to be improving for decrease energy demand and global warming impacts. In a controversial situation where subsists an increasing demand for long-distance and high-speed travels, high-speed trains offer many advantages, as consuming significantly less energy than road or air transports. At the project phase of new rail infrastructures, it is nowadays important to characterize accurately the energy that will be induced by its operation phase, in addition to other more classical criteria as construction costs and travel time. Current literature consumption models used to estimate railways operation phase are obsolete or not enough accurate for taking into account the newest train or railways technologies. In this paper, an updated model of consumption for high-speed is proposed, based on experimental data obtained from full-scale tests performed on a new high-speed line. The assessment of the model is achieved by identifying train parameters and measured power consumptions for more than one hundred train routes. Perspectives are then discussed to use this updated model for accurately assess the energy impact of future railway infrastructures.

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Additional Info

Field Value
Source International Conference on Railway Engineering and Management
Author Bosquet, Romain, Vandanjon, Pierre Olivier, Coiret, Alex, Lorino, Tristan
Maintainer CCSD
Last Updated May 7, 2026, 22:39 (UTC)
Created May 7, 2026, 22:39 (UTC)
Identifier hal-00914588
Language en
contributor Environnement, Aménagement, Sécurité et Eco-conception (IFSTTAR/AME/EASE) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Nantes Angers Le Mans (UNAM)
creator Bosquet, Romain
date 2013-06-13T00:00:00
harvest_object_id 630f3ca0-b0ca-4723-850f-692cefea3787
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-03T00:00:00
set_spec type:COMM