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DIAMOND

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Diagnosis-aided control for SOFC power systems

The DIAMOND project aims at improving the performance of solid oxide fuel cells (SOFCs) for CHP applications by implementing innovative strategies for on-board diagnosis and control. Advanced monitoring models will be developed to... see more

30/09/2017

HyGear B.V.

4M€

Project Budget: 4M€

Project leader

HYGEAR BV No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 7 Participantes

Financing granted El organismo FP6 notifico la concesión del proyecto The day 2017-09-30 We do not have the information of the call

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

7 Participantes

HyGear B.V.

Leader

UNIVERSITA DEGLI STUDI DI SA...

N.D. | participant

JSI

N.D. | participant

VTT

N.D. | participant

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Project duration: 41 months Date Start: 2014-04-01
End date: 2017-09-30

Project leader

HYGEAR BV No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 4M€

participation deadline Sin fecha límite de participación.

Project description The DIAMOND project aims at improving the performance of solid oxide fuel cells (SOFCs) for CHP applications by implementing innovative strategies for on-board diagnosis and control. Advanced monitoring models will be developed to integrate diagnosis and control functions with the objective of having meaningful information on the actual state-of-the-health of the entire system. A holistic view over stack and BoP components can guarantee an advanced management and a comprehensive solution to the problem of achieving improved performance, maintenance scheduling, higher reliability and thus increased lifetime of the system. The underlying idea is to improve the analytical capability of current diagnosis and control algorithms, which are nowadays developed for reference prototypes without accounting systematically for production non-homogeneity, drift, wear and degradation. The analytical work and the testing activity will exploit advanced methodologies successfully applied in other advanced industrial sectors.Two SOFC systems will be considered, namely an integrated stack module (HoTbox©) and a middle-scale CHP with conventional layout. Extensive testing will be performed to validate the diagnosis and control strategies and evaluate their effectiveness in improving management actions aimed at optimizing operating conditions and increasing lifetime.The outcomes of the project will guarantee an increase of the SOFC system lifetime and performance. The results of DIAMOND will consolidate several modeling approaches that are the first step towards the development of prognostics tools for SOFC lifetime estimation. At industrial level, the proposed methodologies can be scaled up as the production increases without affecting manufacturing organization and costs.A well-balanced consortium brings together a group of research institutions and industries with different experience and capabilities to apply advanced monitoring, diagnosis and control concepts to SOFC.

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