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Nonlinear model predictive control methodology for efficiency and durability improvement in a fuel cell power system

Author
Luna, J.; Jemei , S.; Yousfi-Steiner, N.; Husar, A.; Serra, M.
Type of activity
Presentation of work at congresses
Name of edition
21st World Hydrogen Energy Conference
Date of publication
2016
Presentation's date
2016
Book of congress proceedings
21sr World Hydrogen Energy Conference
First page
1
Last page
2
Project funding
ECOCIS DPI-2013-48243-C2-1-R
MESPEM: Desarrollo de sistemas de control para la mejora de la eficiencia y la vida útil en sistemas basados en pilas de combustible
Repository
http://digital.csic.es/handle/10261/133006 Open in new window
http://hdl.handle.net/2117/104199 Open in new window
Abstract
The main contribution of this work is the improvement of the efficiency of a PEMFC power system while guaranteeing conditions that also improve its durability. Adopting the NMPC scheme with the distributed parameter model and the nonlinear observer, the efficiency of the PEMFC-based system can be maximized guaranteeing at the same time the appropriate internal gas concentration profiles to avoid global and local hydrogen and oxygen starvation and proper membrane humidification.
Citation
Luna, J., Jemei , S., Yousfi-Steiner, N., Husar, A., Serra, M. Nonlinear model predictive control methodology for efficiency and durability improvement in a fuel cell power system. A: World Hydrogen Energy Conference. "21sr World Hydrogen Energy Conference". Zaragoza: 2016, p. 1-2.
Keywords
PEMFC, degradation, distributed parameter system, model predictive control, nonlinear observer, starvation
Group of research
ACES - Advanced Control of Energy Systems
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

  • Luna Pacho, Julio Alberto  (author and speaker )
  • Jemei, Samir  (author and speaker )
  • Yousfi-Steiner, Nadia  (author and speaker )
  • Husar, Attila Peter  (author and speaker )
  • Serra Prat, Maria  (author and speaker )