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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DOI: 10.1016/j.energy.2015.07.074
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References listed on IDEAS
- 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.
- 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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- Ceran, Bartosz, 2019. "The concept of use of PV/WT/FC hybrid power generation system for smoothing the energy profile of the consumer," Energy, Elsevier, vol. 167(C), pages 853-865.
- 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.
- Kim, Ah-Reum & Shin, Seungho & Um, Sukkee, 2016. "Multidisciplinary approaches to metallic bipolar plate design with bypass flow fields through deformable gas diffusion media of polymer electrolyte fuel cells," Energy, Elsevier, vol. 106(C), pages 378-389.
- 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.
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Keywords
PEM fuel cell; Temperature; Flow rate;All these keywords.
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