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Modelling and strategies for the assessment and OPtimisation of Energy USage aspects of rail innovation

Risultati finali

Traction chain architecture characterisation

Description of the traction system and auxiliaries parameter based on the vehicle architecture related to the different scenarios e.g. urban, suburban

Position paper on energy usage, generation and saving approaches

Joint position paper on the current use of energy in railways and proposed measures to optimise it

Common approach with S2R report

Summary of the agreed actions to align OPEUS with the wider S2R program including interaction with FINE1 (S2R-CFM-CCA-02-2015)

Analysis of energy losses in the traction chain

Assessment of the potential energy losses introduced in the traction chain in relation with the reference vehicle architectures for the four operational phases i.e. acceleration, cruising, coasting, braking)

DAS assessment

Reporting from the comparative assessment of DAS systems

OPEUS simulation package

Complete simulation methodology, tool and associated manual

Dissemination plan

Detailed dissemination plan highlighting targeted activities and communication channels

Advisory board final technical recommendations

Summary of the main technical recommendations made by the OPEUS AB

Project management and exploitation plan

Description of the governance structure including an outline of the exploitation plans

Scenarios set up and description

Description of the four reference scenarios including boundary conditions and applicable duty cycles

Baseline simulation and state 01 results and assessment

Reporting the baseline results to be used in the project as well as the outcomes of the simulations of relevant S2R innovations (state 1)

Driving strategies and energy management for DAS

Reporting of the outcomes following the assessment of DAS strategies applied to the four OPEUS scenarios using the tool

Innovative technologies outlook update

Overview of novel and noteworthy technologies for ESS

S2R innovation second periodic assessment

Simulation outcomes of further assessment of innovative technologies e.g. ESS applied to the defined scenarios

Innovative technologies influence on energy usage assessment

Simulation-based assessment of the influence of novel ESS technologies in energy consumption based on the OPEUS reference scenarios

S2R innovation first periodic assessment

Simulation outcomes of further assessment of innovative technologies e.g. ESS applied to the defined scenarios

Outlook of mainline, regional and urban rail energy usage

Summary of main requirements and trends affecting energy consumption in diffident rail applications i.e. mainline, regional and urban

Urban rail systems energy requirements in Europe

Report highlighting key energy requirements faced by European urban rail systems in aspects related to their societal, political, economic, operational and environmental targets

Final public event

Presentation of the main outcomes of the project to external delegates.

Data management plan (DMP)

Detailed overview of the strategy adopted for the management of data in OPEUS

Data management implementation

Overview of the implementation of the DMP during the lifetime of the project

Pubblicazioni

Energy Optimal Trajectory Planning for Electrically Driven Railway Vehicles with Particle Swarm optimization

Autori: Lukas Prohl, Harald Aschemann
Pubblicato in: 2019 IEEE 15th International Conference on Control and Automation (ICCA), 2019, Page(s) 423-428, ISBN 978-1-7281-1164-3
Editore: IEEE
DOI: 10.1109/icca.2019.8900019

Energy assessment in Shift2Rail European Rail Research Program

Autori: Holger Dittus, Henry Völker, Lukas Pröhl, Harald Aschemann, Stefan Heibl, Roberto Palacin
Pubblicato in: 2019 12th World Congress on Railway Research, 2019
Editore: WCRR

Grey Wolf Optimisation of an Operating Strategy for Energy Storage Systems in Electrically Driven Railway Vehicles

Autori: Lukas Prohl, Harald Aschemann
Pubblicato in: 2019 18th European Control Conference (ECC), 2019, Page(s) 1908-1913, ISBN 978-3-907144-00-8
Editore: IEEE
DOI: 10.23919/ecc.2019.8795720

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