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Degradation Signatures identification for stack operation diagnostics
Call for proposals:
Stationary power production and CHP
DESIGN adresses the detection of slow and hidden phenomena that nevertheless have strong and detrimental long-term effects on the performance and durability of the SOFC stack. The project proposes to study the influence of slowly-damaging conditions on measures performed on the stack sub-components: the Cells and the Single Repeating Units (SRU) and on small stacks. Identification of characteristic signatures of these degradation phenomena at the lower level will be subsequently transposed at the stack level, to provide a way to diagnose slow degradation phenomena in a commercial SOFC stack, through appropriate data processing of measures provided by a limited amount of sensors.
The main outputs of the project will be :
1 - Identification of relevant sensors and signals to be monitored to diagnose full stack degradation phenomena;
2 - A data analysis methodology to be applied to measured signals;
3 - A set of characteristic signatures for the different degradation phenomena at the local and stack level, to be compared with the actual sensor signal to diagnose long-term degradation conditions;
4 - Recommendations for operation recovery, once a degradation condition is identified at the cell, SRU or stack level.
These recommendations could feed into a diagnostic tool such as the one that will be developed in the GENIUS project and focusing on system level diagnostic tool.
SP1-JTI-FCH.2009.3.3: Operation diagnostics and control for stationary power applications
Research and technological development
Saturday, January 1, 2011
Monday, June 30, 2014
Organisation: Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), France
Mrs Florence LEFEBVRE-JOUD
Other participating organisations:
|Valtion Teknillinen Tutkimuskeskus||Finland|
|Europaisches Institute für EnergieForschung||Germany|
|Universita Degli Studi di Salerno||Italy|
|Ecole Polytechnique Fédérale de Lausanne||Switzerland|
|HyGear Fuel Cell Systems BV||Netherlands|
|EBZ Entwicklungs und Vertriebsgesellschaft Brennstoffzelle mbH||Germany|
Results or Deliverables files:
Maurizio Guida , Fabio Postiglione , Gianpaolo Pulcini, Reliability Engineering and System Safety 01/08/2015, 88-98, "A random-effects model for long-term degradation analysis of solid oxide fuel cells"
Florence Lefebvre-Joud , Jari Kiviaho , Olivier Bucheli, Fuel Cells 01/08/2013, 447-448, " Solid Oxide Fuell Cells : The Way for High Efficiency Energy Conversion"