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Diagnosis-aided control for SOFC power systems (DIAMOND)
Date du début: 1 avr. 2014, Date de fin: 31 mars 2017 PROJET  TERMINÉ 

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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