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Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method
The membrane electrode assembly (MEA) plays an important role in the proton exchange membrane fuel cell (PEMFC) performance. Typically, the structure comprises of a polymer electrolyte membrane sandwiched by agglomerate catalyst layers at the anode and cathode. Optimization of various parameters in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749347/ https://www.ncbi.nlm.nih.gov/pubmed/31454996 http://dx.doi.org/10.3390/molecules24173097 |
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author | Vuppala, Rohit K. S. S. Chaedir, Benitta A. Jiang, Lishuai Chen, Lianjun Aziz, Muhammad Sasmito, Agus P. |
author_facet | Vuppala, Rohit K. S. S. Chaedir, Benitta A. Jiang, Lishuai Chen, Lianjun Aziz, Muhammad Sasmito, Agus P. |
author_sort | Vuppala, Rohit K. S. S. |
collection | PubMed |
description | The membrane electrode assembly (MEA) plays an important role in the proton exchange membrane fuel cell (PEMFC) performance. Typically, the structure comprises of a polymer electrolyte membrane sandwiched by agglomerate catalyst layers at the anode and cathode. Optimization of various parameters in the design of MEA is, thus, essential for reducing cost and material usage, while improving cell performance. In this paper, optimization of MEA is performed using a validated two-phase PEMFC numerical model. Key MEA parameters affecting the performance of a single PEMFC are determined from sensitivity analysis and are optimized using the response surface method (RSM). The optimization is carried out at two different operating voltages. The results show that membrane thickness and membrane protonic conductivity coefficient are the most significant parameters influencing cell performance. Notably, at higher voltage (0.8 V per cell), the current density can be improved by up to 40% while, at a lower voltage (0.6 V per cell), the current density may be doubled. The results presented can be of importance for fuel cell engineers to improve the stack performance and expedite the commercialization. |
format | Online Article Text |
id | pubmed-6749347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67493472019-09-27 Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method Vuppala, Rohit K. S. S. Chaedir, Benitta A. Jiang, Lishuai Chen, Lianjun Aziz, Muhammad Sasmito, Agus P. Molecules Article The membrane electrode assembly (MEA) plays an important role in the proton exchange membrane fuel cell (PEMFC) performance. Typically, the structure comprises of a polymer electrolyte membrane sandwiched by agglomerate catalyst layers at the anode and cathode. Optimization of various parameters in the design of MEA is, thus, essential for reducing cost and material usage, while improving cell performance. In this paper, optimization of MEA is performed using a validated two-phase PEMFC numerical model. Key MEA parameters affecting the performance of a single PEMFC are determined from sensitivity analysis and are optimized using the response surface method (RSM). The optimization is carried out at two different operating voltages. The results show that membrane thickness and membrane protonic conductivity coefficient are the most significant parameters influencing cell performance. Notably, at higher voltage (0.8 V per cell), the current density can be improved by up to 40% while, at a lower voltage (0.6 V per cell), the current density may be doubled. The results presented can be of importance for fuel cell engineers to improve the stack performance and expedite the commercialization. MDPI 2019-08-26 /pmc/articles/PMC6749347/ /pubmed/31454996 http://dx.doi.org/10.3390/molecules24173097 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vuppala, Rohit K. S. S. Chaedir, Benitta A. Jiang, Lishuai Chen, Lianjun Aziz, Muhammad Sasmito, Agus P. Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method |
title | Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method |
title_full | Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method |
title_fullStr | Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method |
title_full_unstemmed | Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method |
title_short | Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method |
title_sort | optimization of membrane electrode assembly of pem fuel cell by response surface method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749347/ https://www.ncbi.nlm.nih.gov/pubmed/31454996 http://dx.doi.org/10.3390/molecules24173097 |
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