1. Differential Resistance Analysis – a New Tool for Evaluation of Solid Oxide Fuel Cells Degradation
- Author
-
Arata Nakajo, Dario Montinaro, Blagoy Burdin, Roberto Spotorno, Anthony Chesnaud, Alain Thorel, Daria Vladikova, Maxime Hubert, Zdravko Stoynov, Paolo Piccardo, and Jérôme Laurencin
- Subjects
Work (thermodynamics) ,Materials science ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,7. Clean energy ,Energy storage ,General Materials Science ,Sensitivity (control systems) ,Process engineering ,energy storage ,business.industry ,Mechanical Engineering ,electrical properties, energy generation, energy storage, ionic conductor ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,ionic conductor ,Durability ,0104 chemical sciences ,Electricity generation ,energy generation ,Mechanics of Materials ,electrical properties ,Degradation (geology) ,Constant current ,0210 nano-technology ,business ,Voltage - Abstract
Solid Oxide Fuel Cells (SOFCs) are a promising technology that can provide efficient and clean energy production. The general barriers hindering their market entry are durability, i.e. resistance to aging, and costs. In parallel to the deeper insight into the different degradation sources and improved understanding of ageing factors and their interactions, work towards higher accuracy for the assessment and monitoring of real-world fuel cell ageing in necessary. The requirements for operational stability formulate the parameter “degradation rate” (DR). Most often long term durability tests are performed at constant current load and the decrease of the voltage is used for its definition. In this work a new approach based on analysis of the volt-ampere characteristics, named Differential Resistance Analysis (DRA), is presented. It operates with the differential resistance, i.e. with the derivative of the voltage in respect to the current (dU/dI = Rd) which is more sensitive to small deviations and thus increases the sensitivity of the analysis. Two performance indicators are derived (Rd, min and ∆U*) with differing selectivity: ∆U* is more sensitive to activation losses and Rd, min - to transport hindrances. The application of the DRA is demonstrated on examples from measurements in fuel cell and in reverse (fuel cell/electrolyzer) mode, as well as on modeling data. The results show that the method is at least 10 times more sensitive to DR evaluation in comparison with the classical approach.
- Published
- 2017
- Full Text
- View/download PDF