A Numerical Study on the Impact of Cathode Catalyst Layer Loading on the Open Circuit Voltage
Notice bibliographique
Résumé
The open-circuit voltage (OCV) is the measured potential when no current is drawn from a cell. Theoretically this potential is given by the equilibrium potential, which is determined from thermodynamics based on the operating conditions. In practice, the actual potential at zero current is measured to be approximately 300 mV lower than the theoretical value. There are a number of possible causes for the lower OCV [1,2], however the most commonly accepted is that hydrogen crossing from the anode to the cathode will react in the presence of the platinum catalyst, thereby developing a mixed potential [2,3,4]. The OCV will therefore depend on the relative kinetics of the hydrogen oxidation reaction (HOR) and oxygen reduction reaction (ORR) in the cathode such that when the ORR is equal to the HOR in the cathode, the OCV is reached, see Figure 1A. The overpotential required to achieve the required ORR will determine the potential at which OCV occurs and the overpotential required will be impacted by the platinum loading in the cathode. This effect is shown experimentally, where the OCV is seen to drop significantly at loadings less than 0.05mg/cm2 , as shown in Figure 1B. The two-dimensional, macro-homogeneous model in OpenFCST [5] is extended to allow multiple reactions in an electrode and used to study the impact of platinum loading on OCV. The model accounts for the transport of oxygen, hydrogen, water vapour and solved water, as well as the potentials of both the solid and electrolyte phases. Both the ORR and HOR are considered in the cathode, and as the hydrogen crossover rate is only of the order of 1 mA/cm2, the accuracy of the kinetic models used for the ORR and HOR are studied. Furthermore, the impact of the HOR kinetics is examined by considering recent experimental studies [7,8] that have shown the HOR is severely limited at high overpotentials by anion adsorption and oxide formation. This work shows that the double-trap kinetic model [6] for the ORR is able to match the polarization data in the kinetic region as well as correctly predict the OCVs for platinum loadings of 0.014-0.113 mg/cm2 . The commonly used Tafel equation, in contrast, cannot simultaneously fit both the kinetic region of the polarisation curve and the OCVs. Using a HOR model that reproduces the kinetic data showing limited activity at high overpotentials does not accurately capture the OCV and predicts that hydrogen would escape through the cathode. The impact of microscale transport is studied using the ionomer covered carbon particle (ICCP) model. A parametric study on the parameters controlling the dissolution of hydrogen into the ionomer thin film and its diffusion to the reaction site indicate that hydrogen transport is not limiting at these scales for the cell structural parameters used in this study, but may be important at higher ionomer film thicknesses. Changing the operating oxygen partial pressure shows that the double trap model in ref. [6] does not accurately capture the change in reaction rate with the change in oxygen concentration. This work demonstrates that modeling the OCV is helpful in fitting the kinetic region of the polarisation curve, as an accurate fit here and at OCV means that the kinetic model is accurate over several orders of magnitude in current and approximately 100mV of potential. References: [1] J. J. Giner-Sanz et al., Int. J. Hydrogen Energ., 39 (2014) 13206-13216 [2] S. A. Vilekar et al., J. Power Sources, 195 (2010) 2241–2247 [3] V. M. Ehlinger et al., J. Electrochem. Soc., 166, (7) F3255-F3267 (2019) [4] A. A. Kulikovsky, Electrochimica Acta, 247 (2017) 730–735 [5] M. Secanell et al., Electrochem. Soc. Trans., 64 (3) 655-680 (2014) [6] M. Moore et al., J. Electrochem. Soc., 160 (6) F670-F681 (2013) [7] J. Durst et al., J. Electrochem. Soc., 162 (1) F190-F203 (2015) [8] C. M. Zalitis et al., Phys. Chem. Chem. Phys., 2013, 15, 4329 Figure 1
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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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 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) | 0,005 | 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 ».