Specific challenge: Low-cost and reliable monitoring technologies are urgently needed for stationary applications, where to date no monitoring or diagnostics approach is available. A low-cost prognostics/diagnostics/monitoring approach during operation would enable more reliable systems, effective failure detection and prevention before irreversible damage occurs, more efficient maintenance and drastically reduced warranty costs.
Scope: The overall objective of the project is to develop a low cost and online system/stack monitoring and diagnostics technology which can be integrated easily into existing fuel cell systems.
The following aspects should be addressed:
• The approach should primarily be used for the detection and hence prevention of damaging conditions during the operation of stationary fuel cell systems
• Detection of major failure modes like air/fuel starvation, sulphur trap breakthroughs, cross-leakages/cell breaks, other cell contamination,…
• State-of-health monitoring (degradation monitoring, remaining lifetime prediction,…)
• Focused on low cost and easy integration into existing systems
No basic research is expected, a proven approach (e.g. with other fuel cell types) should be available already at the beginning of the project.
Expected impact: The following targets should be met:
• Demonstration of the detection of major stack/system failure modes in stack laboratory tests with at least 2 different stack platforms
• At least 5 of the following failure modes must be detectable and should be demonstrated with the developed approach:
o Air starvation
o Fuel starvation
o Sulphur poisoning (trap breakthroughs)
o Carbon build-up on cell
o Cell breaks/cross over leakages
o Major change in fuel composition (reformer malfunction or bad fuel quality)
• Lab or field- demonstration of the monitoring/diagnostics approach integrated into at least 2 different fuel cell systems (CHP, APU, backup power,…)
• A methodology for state-of-health monitoring incl. degradation measurement and remaining lifetime prediction should be shown
• It has to be shown that the added cost of the monitoring/diagnostics approach does not increase the overall system manufacturing costs by more than 3%
A liaison with the currently running relevant FCH JU projects shall be established and activities should build on existing results from those projects.