Objective
The ERG project focus on the solar energy supply chain, starting form photovoltaic cells (PV) and proceeding with energy extraction (harvesting) techniques, high efficiency power conversion and finally managing the energy distribution inside a smart grid, with the target of different classes of applications, from house to small area, as well as application specific “local grid” (healthcare, automotive, etc.). By considering the full solar energy supply chain, we expect relevant improvements of the industrial state-of-the-art in the efficiency of PV cells, in the optimization of energy generated by PV systems, in the loss reduction of power converters and finally in energy management strategy. At the initial chain-link of the energy value chain, we primarily target the development of ultra-thin (50-20 micron) Si wafer PV cells, Si heterojunction cells, novel architectures (e.g. back-contact), novel materials (for Si heterojunctions, ARC, and dielectrics), novel approaches for screen printing and laser processing. As a promising low-cost alternative to Si we will pursue the goal of totally printable dye-sensitized-solar cells (DSSC) to demonstrate DSSC products for commercial applications. The next chain-link deals with optimization of the energy generated by PV systems by focusing on power management electronics for silicon cell panels and on micro electromechanical systems for Concentrated cells (CPV). The architecture study will elaborate different profiles of end-users, including direct grid connection, energy storage options and E-mobility support. At the end of the chain we will develop behavioural models for the individual components of the “Smart Grid” to allow for optimal energy dispatching and battery charging algorithms based on wireless sensors distributed over the network. A set of demonstrators, PV cells, conversion systems for PV and CPV inverters, and network demonstrators based on a household and an industrial application will complete the project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural scienceschemical sciencesinorganic chemistrymetalloids
- natural sciencesphysical sciencesopticslaser physics
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energysolar energyphotovoltaic
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Call for proposal
ENIAC-2010-1
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Coordinator
08225 Terrassa
Spain
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Participants (26)
40126 Bologna
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31048 San Bagio Di Callalta
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6921 EX Duiven
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20040 Cornate d'adda
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00185 Roma
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40125 Bologna
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CB22 7GG Cambridge
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80686 Munchen
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85579 Neubiberg
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5656AG Eindhoven
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9700 Oudenaarde
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10129 Torino
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811 04 Bratislava
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52062 Aachen
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34149 Basovizza Trieste
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81243 Bratislava
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34266 Niestetal
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18 Dublin
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80333 MUNICH
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20864 Agrate Brianza
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09111 Chemnitz
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74072 HEILBRONN
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S10 2TN Sheffield
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95131 Catania
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87036 Arcavacata Di Rende
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T12 YN60 Cork
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