A PEMFC multi-physical model to evaluate the consequences of parameter uncertainty on the fuel cell performance

Autor: Raed Kouta, Gérard Coquery, Willy Charon, N. Noguer, Fabien Harel, Denis Candusso
Přispěvatelé: Laboratoire Mécatronique - Méthodes, Modèles et Métiers (IRTES - M3M), Université de Technologie de Belfort-Montbeliard (UTBM)-Institut de Recherche sur les Transports, l'Energie et la Société - IRTES, Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Transports et Environnement (IFSTTAR/AME/LTE), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon, FCellSYS, Fuel Cell Test Platform, UTBM, Laboratoire des Technologies Nouvelles (IFSTTAR/COSYS/LTN), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
Rok vydání: 2015
Předmět:
PILE A COMBUSTIBLE
[SPI.OTHER]Engineering Sciences [physics]/Other
Computer science
020209 energy
Flow (psychology)
Energy Engineering and Power Technology
Proton exchange membrane fuel cell
02 engineering and technology
7. Clean energy
MODELE
Software
Stack (abstract data type)
0202 electrical engineering
electronic engineering
information engineering
Sensitivity (control systems)
Representation (mathematics)
PEM FUEL CELL
Reliability (statistics)
ANALYSE STATISTIQUE
Renewable Energy
Sustainability and the Environment
business.industry
STATISTIQUE
[SPI.NRJ]Engineering Sciences [physics]/Electric power
STATISTICAL ANALYSIS
Control engineering
021001 nanoscience & nanotechnology
Condensed Matter Physics
MODEL
Fuel Technology
RELIABILITY
FIABILITE
Probability distribution
0210 nano-technology
business
Zdroj: International Journal of Hydrogen Energy
International Journal of Hydrogen Energy, Elsevier, 2015, 40 (10), pp. 3968-3980. ⟨10.1016/j.ijhydene.2015.01.050⟩
ISSN: 0360-3199
DOI: 10.1016/j.ijhydene.2015.01.050
Popis: In this article, a novel method is proposed to help evaluating the reliability of a Proton Exchange Membrane Fuel Cell (PEMFC) stack. The aim is to guarantee a target level of electrical performance that can be considered as sufficient to meet any application requirements. The approach is based on the close coupling between physical modeling and statistical analysis of reliability. The complexity of the physical phenomena involved in the fuel cell is taken into account through the development of a dynamical, symbolic, acausal modeling tool including physical and semi-empirical parameters as well. The proposed knowledge PEMFC model is one-dimensional, non-isothermal and it includes a two-phase fluidic flow representation (each reactant is considered as a mix of gases and liquid water). The modeling is implemented using the DYMOLA software; one of the advantages of this simulation tool is that it allows an effective connection between multi-physical modeling and statistical treatments. In this perspective, the modeling is done with the aim of having as much relevant physical parameters as possible. The different effects of these parameters on the PEMFC electrical behavior can be observed and the performance sensitivity can be determined considering statistical distributions of input parameters, which is a step towards reliability analysis.
Databáze: OpenAIRE
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