Towards a Solid Oxide Fuel Cell/Electrolysis Cell Fabricated Entirely By Microwave Methods
Notice bibliographique
Résumé
There is great interest in the development of SOFCs that can be operated in reverse in the electrolysis mode, thus producing fuels and oxygen, while also serving as an electricity storage medium for renewable energy. In the solid oxide electrolysis cell (SOEC), steam can be converted to H2 and O2 while steam together with CO2 can generate syngas and O2. High temperature operation (700-950 oC) of water electrolysis cells significantly increases the performance of SOECs, as compared to PEM-based electrolysis systems. However, an obstacle for operating at high temperatures is the lower stability of materials, although the significant progress made in the development of SOFC materials is a significant asset to SOECs as well [1]. Even so, the operating conditions in SOECS are quite different than in SOFCs, and thus new problems are emerging, including the delamination of the SOEC anode from the electrolyte, oxidation of Ni in the SOEC cathode as a result of the high levels of steam present, and sulfur poisoning of the Ni cathode [2]. Therefore, research is this field is moving towards the use of mixed ionic and electronic conducting oxides, which have been shown to be more stable as oxygen electrodes than conventional LSM materials [3]. Previous research in our group has been focused on the development of robust sulfur and coke tolerant electrode-supported SOFCs, based primarily on very promising metal oxide materials currently being developed in our group, which have shown very good catalytic activity for both H2/CO oxidation and O2 reduction. These are based on a La0.3Sr0.7Fe0.7Cr0.3O3-δ (LSFCr) mixed ionic-electronic conducting (MIEC) perovskite material [4, 5]. Because of the excellent performance of LSFC, efforts have been made to further improve its properties. Thus, the A-site of the perovskite was doped with Ca instead of Sr, producing La0.3Ca0.7Fe0.7Cr0.3O3-δ (LCFCr), shown to be a very promising oxygen and fuel electrode for reversible SOFCs [6-8]. The main goal of the introduction of Ca was to decrease the thermal expansion coefficient of this derivative of LSFCr, in order to more closely match that of a Gd-doped ceria (GDC) electrolyte[8].The partial substitution of Sr by Ca may also enable the introduction of structural inhomogeneities, as Ca doping of LaFeO3 is known to promote oxygen-vacancy ordering [9]. We have also demonstrated that the LCFCr material can be produced by microwave (MW) methods, showing that the pure phase can be obtained at a much lower synthesis temperature of only 300 oC, the synthesis time can be cut down by ca. 50%, and there is a significant increase in its surface area (10.4 m2 g-1 vs 0.89 m2 g-1 ) [10]. In this work, we are focussed on working towards a solid oxide fuel cell/electrolysis cell that is fabricated entirely with the use of MW techniques, starting with the synthesis of the electrode/electrolyte powders and including the sintering of the full cell. An effective method has been developed for the MW co-sintering of the anode-electrolyte-cathode combination in one simple step. This approach, in which sintering temperatures as high as 1000 oC can be achieved in just a few minutes, would have a significant impact on both lowering material and cell manufacturing costs and on further enhancing the performance of these cells. Thus, the LCFCr perovskite powders were first formed using MW methods and were then screen-printed on both sides of a gadolinia-doped ceria (GDC) electrolyte, followed by MW-assisted sintering of the cell. It is shown that these LCFCr/GDC/LCFCr cells, sintered using only MW energy, gave performances that were very similar to cells fabricated using normal ceramic processing methods. However, the time required to achieve this was decreased by ca. ten times, thus translating to significant manufacturing cost savings. Acknowledgements: We are very grateful to the SOFC Canada NSERC Strategic Research Network, as well as Carbon Management Canada, for the support of this work. . References: [1] A. Hauch et al., Solid State Ionics, 192 547-551. [2] A. Hauch et al., Journal of Materials Chemistry, 18 (2008) 2331-2340. [3] M.A. Laguna-Bercero et al., Journal of Power Sources, 203 4-16. [4] M. Chen et al., Journal of Power Sources, 236 (2013) 68-79. [5] P. Addoet al., 11th Europeand SOFC and SOE forum, Luzerne, Switzerland, 2014, pp. B0314. [6] P.K. Addo et al., ECS Transactions, 66 (2015) 219-228. [7] B. Molero-Sánchez et al., ECS Transactions, 66 (2015) 185-193. [8] B. Molero-Sánchez et al.,International Journal of Hydrogen Energy, 40 (2015) 1902-1910. [9] V.V. Kharton et al.,Chemistry of Materials, 20 (2008) 6457-6467. [10] B. Molero-Sánchez et al., Ceramics International, 41 (2015) 8411-8416.
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,003 |
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 ».