Energy management is a key issue for railway systems and this situation will continue to be prominent for the foreseeable future. Multiple operational scenarios add complexity to the development of suitable and appropriate energy management solutions. Moreover, existing assessment tools lack an integrated approach, and tend to omit the variation in emission levels, energy usage and associated costs resulting from differing traffic peaks.
Given that the railway system is a complex and interconnected system, a single supplier, operator or infrastructure manager (as large as they may be) cannot tackle the energy management issue for the entire network alone. Hence, ONLY through a collaborative approach such as MERLIN can effective solutions for this issue be developed. Appropriately, the MERLIN consortium brings together the key rail stakeholders from across Europe.
In 36 months, MERLIN will deliver:
Issue of proposal for Technical Recommendations (UIC/UNIFE TecRec):
- Specification and verification of energy & power consumptions for railway systems (calculation and verification methodology).
- Energy and power related information protocols at operational level (interface between the ground and the train can be standardized).
Future Business models & recommendations (smart energy management, cost saving):
- Fair share of the savings (game theory).
- Identification of interfaces between infrastructure and rolling stock components & between railway network and energy.
- Recommendations supporting the fulfilment of Directive 2009/72/EC for instance those related to closed distribution systems.
Optimised solutions for current and future business models:
- Distributed architecture for smart energy management (onboard energy management, dynamic response)
- Energy dispatcher – mission, requirements/architecture, proof of concept by demonstration
- Onboard and wayside smart components
- Pilot case for assessment
Numerical models and simulations to demonstrate the architecture developed for the above TecRec.
Where MERLIN’s results will be implemented, an overall reduction of the energy consumption of 10% is expected.