PROND

Small Wind Turbine Composite Blade PRoperties ON Demand by Means of Functionally Graded Materials

Coordinatore	SIEMENS INDUSTRY SOFTWARE NV    more  Organization address address: Interleuvenlaan 68 city: LEUVEN postcode: 3001 contact info Titolo: Ms. Nome: Els Cognome: Tops Email: send email Telefono: -384184 Fax: -384334
Nazionalità Coordinatore	Belgium [BE]
Totale costo	45˙000 €
EC contributo	45˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-ERG-2008
Funding Scheme	MC-ERG
Anno di inizio	2009
Periodo (anno-mese-giorno)	2009-04-02   -   2012-04-01

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	SIEMENS INDUSTRY SOFTWARE NV  Organization address address: Interleuvenlaan 68 city: LEUVEN postcode: 3001 contact info Titolo: Ms. Nome: Els Cognome: Tops Email: send email Telefono: -384184 Fax: -384334	BE (LEUVEN)	coordinator	45˙000.00

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 Obiettivo del progetto (Objective)

'The use of renewable energy sources in Europe will increase, leading to more sustainable energy mix and reduced greenhouse gas emissions. Wind has been the world's fastest growing renewable energy source for the last seven years, and this trend is expected to continue with falling costs of wind energy. Small wind systems can produce electricity cheaper than the grid and payback their embedded carbon within months. Today Europe has literally millions of homes and businesses waiting to benefit from the effective deployment of this technology. The main goal of this project is to investigate coupled mechanical and aero-dynamic properties the self-adaptive blade of small wind turbine made of functionally graded composite materials.A combination of non-destructive experimental and numerical simulation methods will be employed. Both structural and wind tunnel test results will be used in two ways: to derive knowledge of a structural and aerodynamic properties of a structure and to update the Finite Element and Computational Fluid Dynamic coupled in Fluid-Structure Interaction approach according to values obtained from tests. This information will be used to introduce the blade self adapting concept into the internal architecture design by means of functionally graded materials. An optimization techniques for numerical models parts will be applied in the pursuit of maximum structural efficiency, maximum performance of the turbine and a low cost of the unit. Such a combination demands to take advantage of knowledge from several fields: structural identification, fluid mechanics, composite materials, measurement methods, signal processing, numerical modeling, model updating, optimization, statistics. As a result of this project the optimized design and prototype of the self adaptive blade of small wind turbine will be delivered. Also a set of updated numerical models will be developed.'