An Adequate Statistical Model Predicting the Optimal Combination of Functioning Parameters for a Proton Exchange Membrane Fuel Cell (PEMFC) with Dead-Ended Anode-Reference-Cited by-同舟云学术

An Adequate Statistical Model Predicting the Optimal Combination of Functioning Parameters for a Proton Exchange Membrane Fuel Cell (PEMFC) with Dead-Ended Anode

Published:2022-01-24 Issue:5 Volume:47 Page:6515-6524
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Amadane Yassine^ORCID,Mounir Hamid

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-021-06447-0.pdf

Reference23 articles.

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2. Wee, J.H.: Applications of proton exchange membrane fuel cell system. Renew. Sustain. Energy Rev. 11, 1720–2173 (2007). https://doi.org/10.1016/j.rser.2006.01.005

3. Kurnia, J.C.; Sasmito, A.P.; Shamim, T.: Advances in proton exchange membrane fuel cell with dead-end anode operation: a review. Appl. Energy 252, 113416 (2019). https://doi.org/10.1016/j.apenergy.2019.113416

4. Turgut, O.E.; Cuban, M.T.: Optimal proton exchange membrane fuel cell modelling based on hybrid teaching learning based optimization- differential evolution algorithm. Ain Shams Eng. J. 7, 347–360 (2016). https://doi.org/10.1016/j.asej.2015.05.003

5. Chang, K.Y.: The optimal design for PEMFC modeling based on Taguchi method and genetic algorithm neural networks. Int. J. Hydrog. Energy 36, 13683–13694 (2011). https://doi.org/10.1016/j.ijhydene.2011.07.094

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