Methanol Reformer System Modeling and Control using an Adaptive Neuro-Fuzzy Inference System approach
Publication: Research › Poster
This work presents a control strategy called Current Correction Temperature Control (CCTC), which changes the fuel cell current in order to control the flow of hydrogen to the burner that adds heat to the reforming process. The method ensures a control strategy that avoids some of the critical events for such a system, which includes too high burner fuel flows with following critical burner temperatures, and fuel cell stack anode starvation which significantly can increase the degradation of the fuel cell stack.
Modeling of the reformer dynamics is conducted using an adaptive neuro-fuzzy interference system approach (ANFIS) based on measurement results from an experimental setup. The modeling enables prediction and characterization of the important time constants of such a system.
|Publication date||11 Apr 2012|
|Number of pages||1|
This poster was awarded the "Best Poster Award".
- Fuel cell system, Methanol reforming, High temperature PEM, PBI membrane
Activity: Participation in conference/workshop/course/seminar › Organisation and participation in conference