Modeling polymer electrolyte fuel cells: A high precision analysis. (1st January 2019)

• Record Type: Journal Article
• Authors: Zhang, S.; Reimer, U.; Beale, S.B.; Lehnert, W.; Stolten, D.
• Is Part Of: Applied energy. Volume 233/234(2019)
• Page Start: 1094
• Page End: 1103
• Publication Date: 2019-01-01
• Subjects: Polymer electrolyte fuel cell -- Modeling -- Mass transport -- Current density distribution; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2018.10.026
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A virtual prototype for a high temperature polymer electrolyte fuel cell was built. The model has much better resolution than previous models and experimental work. Local 'hot-spots' in the current density and species distributions are visible. In future, high-fidelity models of entire stacks should be possible. Abstract: In this paper, a computational model is used to study the distributions of several key parameters and the performance of a fuel cell with an active area of 200 cm 2 . The results reveal that the model is capable of predicting the overall behavior in good agreement with experimental data and with superior resolution. Polarization curves are compared and cell voltage prediction deviations are within 43 mV of experimental values. The predicted current density distribution is very close to both the experimentally measured results and a volume-average approach based on rate equations. Local variations of current density, oxygen, and water mole fraction change significantly from under-rib regions to under-channel regions. The serpentine type flow path leads to greater pressure gradients, but is beneficial to gas bypassing through the gas diffusion layers. This type of flow path helps to redistribute the species and current density distributions. Never before has it been possible to construct computational models capable of predicting fine-scale details in local current density; details which were not captured neither by previous models nor by present-day experiments.