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

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Luna Pacho, Julio Alberto
Jemei, Samir
Yousfi-Steiner, Nadia
Husar, Attila PeterMés informacióMés informacióMés informació
Serra, MariaMés informacióMés informacióMés informació
Document typeConference report
Defense date2016
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectOPERACION EFICIENTE DE INFRAESTRUCTURAS CRITICAS (MINECO-DPI2013-48243-C2-1-R)
DESARROLLO DE SISTEMAS DE CONTROL PARA LA MEJORA DE LA EFICIENCIA Y LA VIDA UTIL EN SISTEMAS BASADOS EN PILAS DE COMBUSTIBLE PEM (MICINN-DPI2011-25649)
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.
CitationLuna, 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. 
URIhttp://hdl.handle.net/2117/104199
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  • IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos [463]
  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.438]
  • ACES - Control Avançat de Sistemes d'Energia - Ponències/Comunicacions de congressos [230]
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