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Bi-Mode Hydrogen Train Requirements Using Geospatial Line Assessment

Herwartz, Sebastian and Kühlkamp, Florian and Pagenkopf, Johannes and Fernandez del Rey, Abraham and Valera, Maider and Martin-Carillo, Antonio and Ganhao, Francisco (2022) Bi-Mode Hydrogen Train Requirements Using Geospatial Line Assessment. World Congress on Railway Research 2022, 06-10.06.2022, Birmingham, UK.

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In this paper we analyse use-cases of bi-mode multiple units with a fuel cell hydrogen power pack to identify vehicle requirements arising from infrastructure and operation. For this, we develop a methodology combining a geospatial assessment on available open data (i.e. Open Street Map and a digital elevation model) and a longitudinal dynamic simulation model of rail vehicles. Open data railway networks are suitable in this manner, but elaborate measures to account for data gaps and data inconsistencies are needed. Therefore, we deploy a routing and a smoothing algorithm for elevation profiles integrated in a geospatial model. The modelled data is fed into a simulation tool, which simulates force and speed trajectories at wheel. From the resulting trajectories we determine the necessary traction power at wheel, which has to be subsequently covered by a traction system. From the defined power demand, we derive indicative values for a fuel cell system and resultant net usable battery capacity. We deploy our model on a collection of railway services in Spain, Portugal and Germany currently operated with diesel multiple units. We consider 23 use-cases with varying vehicles and operational configuration. Determined power rates vary strongly and are especially sensible to operational issues such as very long or very short stopping times and to vehicle parameters such as vehicle mass. We determined net power at wheel capacities to be covered by fuel cell system between 82 kW and 674 kW. In relation we determined net usable battery capacities between 90 kWh and 274 kWh. Those demands cover demands for traction energy at wheel level, excluding auxiliary loads and efficiencies.

Item URL in elib:https://elib.dlr.de/186770/
Document Type:Conference or Workshop Item (Speech)
Additional Information:The FCH2RAIL project has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking under grant agreement No. 101006633. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme, Hydrogen Europe and Hydrogen Europe research. Datasets with open research data related to this study is available on ZENODO: 1) Trajectories and driving profiles for hybrid h2 multiple units: https://zenodo.org/record/6359030#.YqCypPfTXDs 2) Railway services operated with diesel multiple units in Spain and Portugal: https://zenodo.org/record/6355894#.YqCzEPfTXDs
Title:Bi-Mode Hydrogen Train Requirements Using Geospatial Line Assessment
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Herwartz, SebastianUNSPECIFIEDhttps://orcid.org/0000-0003-3307-2441UNSPECIFIED
Kühlkamp, FlorianUNSPECIFIEDhttps://orcid.org/0000-0002-2207-505XUNSPECIFIED
Pagenkopf, JohannesUNSPECIFIEDhttps://orcid.org/0000-0001-6265-7348UNSPECIFIED
Date:June 2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Geodata, bi-mode fuel cell hydrogen multiple units, longitudinal dynamic simulation, FCH2Rail, fuel fell hydrogen power pack
Event Title:World Congress on Railway Research 2022
Event Location:Birmingham, UK
Event Type:international Conference
Event Dates:06-10.06.2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - ProCo - Propulsion and Coupling
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Vehicle Concepts > Fahrzeugsysteme und Technologiebewertung
Deposited By: Dittus, Holger
Deposited On:21 Jun 2022 12:07
Last Modified:21 Jun 2022 12:07

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