A Computational Analysis on the Operational Behaviour of Open-Cathode Polymer Electrolyte Fuel Cells
Notice bibliographique
Résumé
Polymer electrolyte membrane fuel cell (PEMFC) is a promising sustainable energy conversion technology to replace conventional fossil fuel based applications. The products of the fuel cell operation are electricity, water, and heat. A common strategy to achieve high power density is to operate at high current densities. However, the rate of heat generation is approximately proportional to the current density and waste heat removal is therefore a challenge for high power density systems. Overheating can cause drying of the conductive polymeric membrane inside the cell causing significant ohmic loss. It can also create local hot spots in the membrane electrode assembly (MEA) that are susceptible to degradation [1]. Hence, liquid coolant such as water or other thermal fluids is used in conventional PEMFCs by embedding separate cooling channels in the flow field plates. However, this type of cooling adds extra balance-of-plant (BOP) components into the system. This can be eliminated by using air as both oxidant and coolant, which is denoted as ‘open-cathode’ design. Even though open-cathode systems considerably reduce BOP cost [2], the open-cathode cell performance is limited by ambient air quality and temperature. The objective of the present work is to simulate the operational behaviour of open-cathode PEMFCs in order to better understand their performance limitations compared to conventional, liquid cooled cells. A comprehensive, 3D computational fuel cell model was developed for this purpose and utilized to study the operational and hygrothermal behaviour of an open-cathode PEMFC at various ambient conditions. Furthermore, the distribution of different cell parameters was analysed across the cell and a relationship was established that the temperature gradient across the cell guides the humidity distribution and hence the overall water management in the cell. These parameters contribute to the net membrane conductivity of the cell which dictates the actual cell performance. Overheating in such kind of a system was found to be key factor limiting the net cell performance while in operation at moderate and higher current densities. The results obtained were also compared with an equivalent liquid cooled cell and a cell operating in hypothetical isothermal condition at similar operating conditions as described in Figure 1. These three sets of modelling results clearly distinguish the operational behaviour of an open-cathode cell against that of a liquid cooled cell and also draws conclusion on factors affecting the low cell performance for an open-cathode system. The results from the study also suggests the inlet air flow rate to be crucial in terms of heat extraction. The net cell performance shifts upwards cushioning the gap between an open-cathode system and a liquid cooled system operating at similar conditions when the inlet air flow rate is increased optimally. Acknowledgements This work is supported by the funding provided by Indian Oil R&D and Simon Fraser University under the SFU-IOCL joint PhD program in clean energy. Funding from Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation and British Columbia Knowledge Development Fund is appreciated. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program. References [1] Q. Meyer, K. Ronaszegi, G. Pei-June, O. Curnick, S. Ashton, T. Reisch, P. Adcock, P. R. Shearing, and D. J. L. Brett, “Optimisation of air cooled, open-cathode fuel cells: Current of lowest resistance and electro-thermal performance mapping,” J. Power Sources, vol. 291, pp. 261–269, 2015. [2] M. Andisheh-Tadbir, A. Desouza, M. Bahrami, and E. Kjeang, “Cell level modeling of the hygrothermal characteristics of open cathode polymer electrolyte membrane fuel cells,” Int. J. Hydrogen Energy, vol. 39, no. 27, pp. 14993–15004, 2014. Figure 1
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».