Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: NMP.2012.1.4-2 | Award Amount: 3.88M | Year: 2013
CARINHYPH projects deals with the hierarchical assembly of functional nanomaterials into novel nanocarbon-inorganic hybrid structures for energy generation by photocatalyic hydrogen production, with Carbon NanoTubes (CNTs) and graphene the choice of nanocarbons. The scientific activities include the development of new functionalisation strategies targeted at improving charge transfer in hybrids and therefore their photocatalytic activity, and in transferring these synergistic effects by assembling the hybrid units into macroscopic structures. Three different types of hybrid architectures will be explored: Hybrid 1 consisting of inorganic gyroids impregnated with the nanocarbon; Hybrid 2 consisting of nanocarbon membranes coated with the inorganic compound by atomic layer deposition; Hybrid 3 - electrospun hybrid fibres. CARINHYPH specifically aims to tailor interfacial charge and energy transfer processes by means of chemical functionalisation and evaluate them with photochemical and transient spectroscopy, as well as explore the effect of the nanocarbon as a substrate and heat sink, which stabilises smaller semiconductor particles and reduces agglomeration that will result in larger accessible surface areas. Two industrial partners in the consortium, a nanocarbon supplier and a potential end user, guarantee that both ends of the production line are taken into account for the development of new technologies and the production of a roadmap for industrial deployment. This roadmap will also measure sustainability of processes and materials developed in this project in terms of environmental and economical impact as compared to state-of-the-art techniques for the production of hydrogen by the use of adequate Life Cycle Costing (LCC) and Life Cycle Assessment (LCA) approaches.
Agency: Cordis | Branch: FP7 | Program: BSG-SME | Phase: SME-2012-1 | Award Amount: 1.40M | Year: 2012
Renewable energy (RE) sources have gained a great importance due to their inexhaustibility, sustainability, ecological awareness and supply of energy security. Among all RE sources, wind energy is currently viewed as one of the most significant fastest growing (at an average annual growth rate of more that 26% since 1990), commonly used and commercially attractive source to generate electrical energy. The vision of the wind industry in Europe is to increase winds fraction of electrical energy mix to more than 20% within the next 2 decades. To implement this, an average 10-15GW of additional capacity must be manufactured, delivered and implemented every year in Europe. In order to achieve this, further improvements in wind turbine technology are still needed. Wind turbines are not new concepts but still face challenges as a stable and reliable source of energy issues with efficiency, operations, maintenance and its general costs. There is a need to reduce the rate of electrical system faults and the corresponding downtime per fault which will contribute significantly to the overall reduction of the operational and maintenance cost associated with current and future wind turbines. This project aims to develop an advanced diagnostics and predictive maintenance intelligent sensor system network for Wind Turbine (with particular focus on faults, failures and breakdowns relating to the electrical system of the wind turbine).
Agency: Cordis | Branch: FP7 | Program: CP-IP | Phase: NMP.2013.2.2-3 | Award Amount: 18.59M | Year: 2014
Highly efficient Power Electronics (PE) employed in power generation, transmission, and distribution is the prerequisite for the Europe-wide penetration of renewable energies; improves the energy efficiency; increases the power quality and enables continuous voltage regulation, reactive power compensation and automated distribution. It also facilitates the integration of distributed resources like local energy storages, photovoltaic generators, and plug-in electric vehicles. The development of a new generation of high power semiconductor devices, able to operate above 10kV, is crucial for reducing the cost of PE in the above-mentioned applications. The material properties of SiC, clearly superior to those of Si, will lead to enhanced power devices with much better performance than conventional Si devices. However, todays SiC PE performs rather poorly compared to the predictions and the production costs are by far too high. Pooling world-leading manufacturers and researchers, SPEED aims at a breakthrough in SiC technology along the whole supply chain: Growth of SiC substrates and epitaxial-layers. Fabrication of power devices in the 1.7/>10kV range. Packaging and reliability testing. SiC-based highly efficient power conversion cells. Real-life applications and field-tests in close cooperation with two market-leading manufacturers of high-voltage (HV) devices. Known and new methodologies will be adapted to SiC devices and optimized to make them a practical reality. The main targets are cost-savings and superior power quality using more efficient power converters that exploit the reduced power losses of SiC. To this end, suitable SiC substrates, epitaxial-layers, and HV devices shall be developed and eventually be implemented in two demonstrators: A cost-efficient solid-state transformer to support advanced grid smartness and power quality. A windmill power converter with improved capabilities for generating AC and DC power.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2007.1.3 | Award Amount: 2.00M | Year: 2007
The objective of K-NET is to explore the fundamental problem: how different services to manage social interactions in a networked enterprise can be used to enhance knowledge and knowledge management (KM) services. \nThe key hypothesis of K-NET is that the context under which knowledge is collectively generated and managed can be used to enhance this knowledge for its further use within intra-enterprise collaboration. By extracting the context under which the knowledge is generated in a network (e.g. goals, teams, temporal and spatial aspects), it is possible to enrich it to be more effectively used within future work.\nIn order to explore such hypothesis, the project intends to answer several problems: how to efficiently monitor/trace a process of generation/usage of knowledge in the network so that this knowledge can be re-used for future work; how to extract context from this process; and how to enrich the knowledge generated with extracted context to support knowledge sharing in future network activities. \nBy solving these problems, K-NET will allow the development of new services to manage social interactions allowing to effectively monitor the (collaborative) knowledge generation/usage processes (specifically addressing knowledge provided/contained in smart devices), services to automatically extract context from such processes and enrich the knowledge, and KM services applying extracted context to support use of this knowledge in the network, with special emphasis on knowledge representation services (considering e.g. IPR and privacy issues). \nThese services will open new business opportunities for networked enterprises to provide new products/services. K-NET will develop generic services, applicable across different domains, and specifically explore new business opportunities in manufacturing and engineering SMEs. Three demonstrators of the application of new services in real industrial environment and their usage for new business models will be provided.