Agency: Cordis | Branch: H2020 | Program: RIA | Phase: MG-2.1-2014 | Award Amount: 18.00M | Year: 2015
IN2RAIL is to set the foundations for a resilient, consistent, cost-efficient, high capacity European network by delivering important building blocks that unlock the innovation potential that exists in SHIFT2RAIL: innovative technologies will be explored and resulting concepts embedded in a systems framework where infrastructure, information management, maintenance techniques, energy, and engineering are integrated, optimised, shared and exploited. IN2RAIL will make advances towards SHIFT2RAIL objectives: enhancing the existing capacity fulfilling user demand; increasing the reliability delivering better and consistent quality of service; reducing the LCC increasing competitiveness of the EU rail system. To achieve the above, a holistic approach covering Smart Infrastructures, Intelligent Mobility Management (I2M)and Rail Power Supply and Energy Management will be applied. Smart Infrastructure addresses the fundamental design of critical assets - switches and crossings and tracks. It will research components capable of meeting future railway demands and will utilise modern technologies in the process. Risk and condition-based LEAN approaches to optimise RAMS and LCC in asset maintenance activities will be created to tackle the root causes of degradation. I2M researches automated, interoperable and inter-connected advanced traffic management systems; scalable and upgradable systems, utilising standardised products and interfaces, enabling easy migration from legacy systems; the wealth of data and information on assets and traffic status; information management systems adding the capability of nowcasting and forecasting of critical asset statuses. Rail Power Supply and Energy Management create solutions to improve the energy performance of the railway system. Research on new power systems characterised by reduced losses and capable of balancing energy demands, along with innovative energy management systems enabling accurate and precise estimates of energy flows.
Agency: Cordis | Branch: FP7 | Program: CP-CSA | Phase: Fission-2013-2.2.1 | Award Amount: 10.36M | Year: 2013
Preparing ESNII for HORIZON 2020 The aim of this cross-cutting project is to develop a broad strategic approach to advanced fission systems in Europe in support of the European Sustainable Industrial Initiative (ESNII) within the SET-Plan. The project aims to prepare ESNII structuration and deployment strategy, to ensure efficient European coordinated research on Reactor Safety for the next generation of nuclear installations, linked with SNETP SRA priorities. The ESNII\ project aims to define strategic orientations for the Horizon 2020 period, with a vision to 2050. To achieve the objectives of ESNII, the project will coordinate and support the preparatory phase of legal, administrative, financial and governance structuration, and ensure the review of the different advanced reactor solutions. The project will involve private and public stakeholders, including industry, research and academic communities, with opened door to international collaboration, involving TSO.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: GALILEO-1-2015 | Award Amount: 4.46M | Year: 2016
The STARS project paves the way for the future EGNSS deployment in safety relevant railway applications. By evolving the highly developed and deployed ERTMS standard through the implementation of the satellite positioning functionality, it will be possible to reduce the cost of the future railway signalling systems, especially for lines with lower traffic density. The project deals with three main topics: 1) The elaboration of reference data and characterisation of the railway environment through a measurement campaign; 2) The assessment of the EGNSS performances achievable in the railway environment with the determination of the applicable requirements for the positioning system as well as the necessary evolutions of EGNSS services and ERTMS/ETCS functions and 3) Quantification of the economic benefits and specifying the possible implementation roadmap when applying the EGNSS on railways. The project is strongly linked with other initiatives and actions on the same topic in Europe. In order to feed directly into the standardization work of ERTMS, the project partners will cooperate closely with UNISIG. Moreover, the project will actively interact with NGTC (EU funded FP7) and the results will be directly implemented by SHIFT2RAIL, providing the practical demonstrators for different categories of railway tracks. The approach developed in STARS is also taking the profit of the strong know-how inherited from civil aviation, making this project as completely integrated and consistent in overall activities in Europe and worldwide, leading to the effective deployment of the satellite technologies in advanced railway signalling systems.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: LCE-17-2015 | Award Amount: 9.63M | Year: 2016
The share of renewable energy is growing rapidly driven by the objective to reduce greenhouse gas emissions. The amount of electric power which can be supplied to the grid depends on the time of the day and weather conditions. A conventional fleet of thermal power plants is required to compensate for these fluctuations before large scale energy storage technologies will be mature and economically viable. All power market projections expect this to be the case for the next 50 years at least. For a strong expansion of renewables, this fleet has to operate flexibly at competitive cost. Current power plants cannot fill this role immediately without impeding their efficiency and engine lifetime through increased wear and damage induced by the higher number of (shorter) operating/loading cycles. New technologies need to be introduced to balance demand peaks with renewable output fluctuations at minimal fuel consumption and emissions without negative effects on cycling operation. The FLEXTURBINE partners have developed a medium to long term technology roadmap addressing future and existing power plants. The FLEXTURBINE project presented hereafter is the first step in such technology roadmap and consists of: (1) new solutions for extended operating ranges to predict and control flutter, (2) improved sealing and bearing designs to increase turbine lifetime and efficiency by reducing degradation/damages, and (3) an improved lifecycle management through better control and prediction of critical parts to improve competitive costs by more flexible service intervals and planned downtime, and by reducing unplanned outages. In all areas, individual technologies will be developed from TRL 3 to TRL 4-6. FLEXTURBINE brings together the main European turbine manufacturers, renowned research institutes and universities. It involves plant and transmission system operators to include user feedback and to prepare the take-up of the FLEXTURBINE technologies in power plants world-wide.
Agency: Cordis | Branch: H2020 | Program: ECSEL-RIA | Phase: ECSEL-01-2014 | Award Amount: 29.88M | Year: 2015
The overall concept of MANTIS is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process as well as new business models with a stronger service orientation. Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in, are monitored continuously by a broad and diverse range of intelligent sensors, resulting in massive amounts of data that characterise the usage history, operational condition, location, movement and other physical properties of those systems. These systems form part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets or photovoltaic and windmill parks) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for bandwidth. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. The research addressed in MANTIS will contribute to companies assets availability, competitiveness, growth and sustainability. Use cases will be the testing ground for the innovative functionalities of the proactive maintenance service platform architecture and for its future exploitation in the industrial world. Results of MANTIS can be utilised directly in several industry areas and different fields of maintenanance.