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Using the multiple regression analysis with respect to ANOVA and 3D mapping to model the actual performance of PEM (proton exchange membrane) fuel cell at various operating conditions

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  • Al-Hadeethi, Farqad
  • Al-Nimr, Moh'd
  • Al-Safadi, Mohammad

Abstract

The performance of PEM (proton exchange membrane) fuel cell was experimentally investigated at three temperatures (30, 50 and 70 °C), four flow rates (5, 10, 15 and 20 ml/min) and two flow patterns (co-current and counter current) in order to generate two correlations using multiple regression analysis with respect to ANOVA. Results revealed that increasing the temperature for co-current and counter current flow patterns will increase both hydrogen and oxygen diffusivities, water management and membrane conductivity. The derived mathematical correlations and three dimensional mapping (i.e. surface response) for the co-current and countercurrent flow patterns showed that there is a clear interaction among the various variables (temperatures and flow rates).

Suggested Citation

  • Al-Hadeethi, Farqad & Al-Nimr, Moh'd & Al-Safadi, Mohammad, 2015. "Using the multiple regression analysis with respect to ANOVA and 3D mapping to model the actual performance of PEM (proton exchange membrane) fuel cell at various operating conditions," Energy, Elsevier, vol. 90(P1), pages 475-482.
    • Handle: RePEc:eee:energy:v:90:y:2015:i:p1:p:475-482
    DOI: 10.1016/j.energy.2015.07.074
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    References listed on IDEAS

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    1. Carton, J.G. & Lawlor, V. & Olabi, A.G. & Hochenauer, C. & Zauner, G., 2012. "Water droplet accumulation and motion in PEM (Proton Exchange Membrane) fuel cell mini-channels," Energy, Elsevier, vol. 39(1), pages 63-73.
    2. Iranzo, Alfredo & Boillat, Pierre & Biesdorf, Johannes & Salva, Antonio, 2015. "Investigation of the liquid water distributions in a 50 cm2 PEM fuel cell: Effects of reactants relative humidity, current density, and cathode stoichiometry," Energy, Elsevier, vol. 82(C), pages 914-921.
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    3. Arlt, Tobias & Klages, Merle & Messerschmidt, Matthias & Scholta, Joachim & Manke, Ingo, 2017. "Influence of artificially aged gas diffusion layers on the water management of polymer electrolyte membrane fuel cells analyzed with in-operando synchrotron imaging," Energy, Elsevier, vol. 118(C), pages 502-511.
    4. Özçelep, Yasin & Sevgen, Selcuk & Samli, Ruya, 2020. "A study on the hydrogen consumption calculation of proton exchange membrane fuel cells for linearly increasing loads: Artificial Neural Networks vs Multiple Linear Regression," Renewable Energy, Elsevier, vol. 156(C), pages 570-578.

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