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...
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MDPI AG
2019-08-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/24/17/3097 |
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| author | Rohit K. S. S. Vuppala Benitta A. Chaedir Lishuai Jiang Lianjun Chen Muhammad Aziz Agus P. Sasmito |
| author_facet | Rohit K. S. S. Vuppala Benitta A. Chaedir Lishuai Jiang Lianjun Chen Muhammad Aziz Agus P. Sasmito |
| author_sort | Rohit K. S. S. Vuppala |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T06:11:06Z |
| format | Article |
| id | doaj.art-394d48d284cf4de19436701a095dd1a3 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-12-22T06:11:06Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-394d48d284cf4de19436701a095dd1a32022-12-21T18:36:14ZengMDPI AGMolecules1420-30492019-08-012417309710.3390/molecules24173097molecules24173097Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface MethodRohit K. S. S. Vuppala0Benitta A. Chaedir1Lishuai Jiang2Lianjun Chen3Muhammad Aziz4Agus P. Sasmito5Department of Mining and Materials Engineering, McGill University, 3450 University, Frank Dawson Adams Bldg., Montreal, QC H3A2A7, CanadaDepartment of Mining and Materials Engineering, McGill University, 3450 University, Frank Dawson Adams Bldg., Montreal, QC H3A2A7, CanadaState Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao 266590, ChinaState Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao 266590, ChinaInstitute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, JapanDepartment of Mining and Materials Engineering, McGill University, 3450 University, Frank Dawson Adams Bldg., Montreal, QC H3A2A7, CanadaThe 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.https://www.mdpi.com/1420-3049/24/17/3097PEM fuel cellmembrane electrode assembly (MEA)response surface methodcomputational fuel cell dynamics |
| spellingShingle | Rohit K. S. S. Vuppala Benitta A. Chaedir Lishuai Jiang Lianjun Chen Muhammad Aziz Agus P. Sasmito Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method Molecules PEM fuel cell membrane electrode assembly (MEA) response surface method computational fuel cell dynamics |
| 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 | PEM fuel cell membrane electrode assembly (MEA) response surface method computational fuel cell dynamics |
| url | https://www.mdpi.com/1420-3049/24/17/3097 |
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