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Grooved electrodes for high-power-density fuel cells

Engineering and Technology

Grooved electrodes for high-power-density fuel cells

C. Lee, W. J. M. Kort-kamp, et al.

Discover the breakthrough in proton exchange membrane fuel cells (PEMFCs) with the innovative grooved electrode design, enhancing performance by up to 50% while improving durability and fuel efficiency. This research by ChungHyuk Lee, Wilton J. M. Kort-Kamp, and others paves the way for a greener transport sector.

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~3 min • Beginner • English
Abstract
Proton exchange membrane fuel cells (PEMFCs) are leading candidates to decarbonize the transport sector, but widespread deployment will require improvements in lifetime, fuel economy and cost. Here we present the grooved electrode, an alternative electrode structure that enhances PEMFC performance and durability by coupling high ionomer (ion-conducting binder) content for improved H+ transport with grooves for rapid O2 transport. Grooved electrodes provide up to 50% higher performance than state-of-the-art conventional electrodes under standard operating conditions. Fuel cell diagnostics combined with multiphysics modelling demonstrate that grooved electrodes provide facile O2 transport despite their high ionomer content, enabling improved reaction rate uniformity. Grooved electrodes also provide improved durability, with less performance loss after carbon corrosion compared with baseline electrodes. Machine learning analysis demonstrates the potential to further optimize grooved structures for next-generation PEMFCs with enhanced performance and durability, enabling smaller and cheaper fuel cell stacks with higher fuel efficiency.
Publisher
Nature Energy
Published On
Jul 01, 2023
Authors
ChungHyuk Lee, Wilton J. M. Kort-Kamp, Haoran Yu, David A. Cullen, Brian M. Patterson, Tanvir Alam Arman, Siddharth Komini Babu, Rangachary Mukundan, Rod L. Borup, Jacob S. Spendelow
Tags
Proton exchange membrane fuel cells
grooved electrode
performance enhancement
fuel efficiency
durability
carbon corrosion
machine learning optimization
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