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GENIUS

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Cerrado

GEneric diagNosis InstrUment for SOFC Systems

The state of health of any SOFC system is currently difficult to evaluate, which makes it difficult to respond to a fault or degradation with the appropriate counter measure, to ensure the required reliability level. Therefore, th... ver más

31/01/2013

EIFER

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

EIFER EUROPAISCHES INSTITUT FUR ENERGIEFORSCH... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo FP6 notifico la concesión del proyecto el día 2013-01-31 No tenemos la información de la convocatoria

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8 Participantes

EIFER

Lider

UNIVERSITA DEGLI STUDI DI SA...

N.D. | Participante

WARTSILA FINLAND OY

N.D. | Participante

UNIVERSITE DE TECHNOLOGIE DE...

N.D. | Participante

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Duración del proyecto: 35 meses Fecha Inicio: 2010-02-01
Fecha Fin: 2013-01-31

Líder del proyecto

EIFER EUROPAISCHES INSTITUT FUR ENERGIEFORSCH... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The state of health of any SOFC system is currently difficult to evaluate, which makes it difficult to respond to a fault or degradation with the appropriate counter measure, to ensure the required reliability level. Therefore, the GENIUS project aims to develop a GENERIC” algorithm, based on a validated diagnostic GENERIC” approach. This algorithm would only use process values (normal measurements and system control input parameters) and the approach would allow all SOFC developers to use and implement the algorithm in their respective systems according to their specific constraints.To guarantee the GENERIC” character of the algoithm, stacks and systems from four different manufacturers will be tested using commonly defined test plan that will be based on the Design Of Experiment” method. Three different types of models will be evaluated in parallel by four different academic institutions in order to define the optimal tool for fault detection and degradation identification. This will be done taking into account both on board” diagnostic and off-line diagnostic requirements. The diagnosis would generate a set of indicators able to quantify either the drift or the difference of the actual status with respect to nominal or expected performance. A diagnostic hardware integrating the best algorithm will be developed and validated in two different SOFC systems. Finally, physical parameters and interactions will be correlated with degradation mechanisms. This correlation will allow the definition of either counter measures (in case of fault or degradation) or of a more optimal operation point. This will make it possible to reduce maintenance to yearly intervals. It may also help reach a target of tens of thousands hours for stack or system operation lifetime. Finally, it is important to mention that most of participants of the GENIUS project are members of the FCH Joint Undertaking Initiative.

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