Global sensitivity analysis of proton exchange membrane fuel cell model

Brahim Laoun, Mohamed W. Naceur, Abdallah Khellaf, Arunachala Mada Kannan

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

A global sensitivity technic enhanced by variance method is applied to a model that simulate the power output of a proton exchange membrane fuel cell (PEMFC). The objectives are to demonstrate how the global sensitivity method is applied to a PEMFCs theoretical model and to visualize the sensitivity indices of partial pressure of reactant gases, temperature, current density, membrane cross section and thickness, gas diffusion layer porosity and thickness on the power performance of the PEMFC. Results show that the current density, temperature, membrane thickness, gas diffusion layer thickness and porosity, are the sensitive parameters with the dominant influence from the current density and membrane thickness. In addition, it is found that the pressure of hydrogen, pressure of oxygen and membrane cross section are the relatively lesser sensitive parameters.

Original languageEnglish (US)
JournalInternational Journal of Hydrogen Energy
DOIs
StateAccepted/In press - Dec 16 2015

Fingerprint

sensitivity analysis
Proton exchange membrane fuel cells (PEMFC)
Sensitivity analysis
fuel cells
membranes
Membranes
Current density
protons
Diffusion in gases
gaseous diffusion
Porosity
current density
sensitivity
Partial pressure
porosity
cross sections
gas temperature
Hydrogen
Temperature
Oxygen

Keywords

  • Electrochemical model
  • Global sensitivity analysis
  • PEM fuel cell
  • Variance based method

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology

Cite this

Global sensitivity analysis of proton exchange membrane fuel cell model. / Laoun, Brahim; Naceur, Mohamed W.; Khellaf, Abdallah; Mada Kannan, Arunachala.

In: International Journal of Hydrogen Energy, 16.12.2015.

Research output: Contribution to journalArticle

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