A comprehensive review of recent progresses in cathode materials for Proton-conducting SOFCs

Yang, Guangming; Zhang, Mingming; Fu, Min; Hu, Wenjing; Tong, Hua; Tao, Zetian

doi:10.1016/j.enrev.2023.100038

Cited by 59 publications

(12 citation statements)

References 257 publications

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“…Solid oxide fuel cells (SOFCs) offer a promising technology for generating clean electricity, which is of paramount importance in the pursuit of carbon neutrality. − In contrast to conventional oxygen ion-conducting SOFCs, protonic ceramic fuel cells (PCFCs) show great potential due to their ability to operate within intermediate temperature ranges (500–700 °C), facilitated by lower activation energy for proton transport. − Steam is generated on the cathode side, preventing fuel dilution on the anode and ensuring resilience against oxidation in the commonly used Ni-based cermet anode . However, the sluggish reaction kinetics of cathode materials at these intermediate temperatures significantly limit PCFC performance. , Therefore, an urgent need arises for the development of cathode materials with high activity and stability to drive the commercialization of PCFCs.…”

Section: Introductionmentioning

confidence: 99%

Dual Self-Assembled Nanocomposite Cathode for Protonic Ceramic Fuel Cells

Yuan,

Tong,

et al. 2024

Energy Fuels

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Protonic ceramic fuel cells (PCFCs) show great promise as a technology for clean power generation. However, the sluggish reaction kinetics and instability of the cathodes continue to impede their commercialization. Here, we report a multiphase nanocomposite produced through dual self-assembly, which serves as a highly active and durable cathode for PCFCs. During cathode sintering, self-assembly takes place to create a composite consisting of PrNi0.5Co0.5O3‑δ (PNC), BaCe0.7Zr0.1Y0.2O3‑δ (BCZY), and PrO x nanoparticles. Compared to the single-phase PNC cathode, this cathode demonstrates enhanced performance with a reduction of 49.1% in ohmic resistance and 48.5% in polarization resistance at 700 °C. This outcome is attributed to improved oxygen surface exchange kinetics and electrolyte–cathode interface strength. Furthermore, the self-assembled cathode in the single cell exhibits a 33.3% increase in power output relative to that of the PNC cathode cell. More interestingly, the cell displays performance activation during 400 h of operation, resulting in a power output increase of 27.5%. The cathode is revealed to be further self-assembled during operation in the post-mortem analysis, featuring an in situ-formed needle-like nanocomposite composed of BaPrO3 and BCZY. This work presents an innovative approach to nanocomposite self-assembly for potential use in PCFC cathode applications.

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Section: Introductionmentioning

confidence: 99%

Dual Self-Assembled Nanocomposite Cathode for Protonic Ceramic Fuel Cells

Yuan,

Tong,

et al. 2024

Energy Fuels

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“…A key impediment to more widespread adoption of solid oxide fuel and electrolyzer cell (SOFC/SOEC), including reversible (r-SOFC) and proton ceramic fuel cell (PCFC) [1][2][3][4][5][6][7][8][9][10][11][12] technologies is the availability of electrode materials which are cheap, stable, and can effectively catalyze the oxygen reduction (ORR, for fuel cells) and evolution (OER, for electrolyzers) reactions at reduced operating temperatures of ≈ 500 °C or even lower. [4,5,13] DOI: 10.1002/aenm.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Design of Perovskite Catalytic Properties

Jacobs,

Liu,

Abernathy

et al. 2024

Advanced Energy Materials

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Discovering new materials that efficiently catalyze the oxygen reduction and evolution reactions is critical for facilitating the widespread adoption of solid oxide fuel cell and electrolyzer (SOFC/SOEC) technologies. Here, machine learning (ML) models are developed to predict perovskite catalytic properties critical for SOFC/SOEC applications, including oxygen surface exchange, oxygen diffusivity, and area specific resistance (ASR). The models are based on trivial‐to‐calculate elemental features and are more accurate and dramatically faster than the best models based on ab initio‐derived features, potentially eliminating the need for ab initio calculations in descriptor‐based screening. The model of ASR enables temperature‐dependent predictions, has well calibrated uncertainty estimates and online accessibility. Use of temporal cross‐validation reveals the model to be effective at discovering new promising materials prior to their initial discovery, demonstrating the model can make meaningful predictions. Using the SHapley Additive ExPlanations (SHAP) approach, detailed discussion of different approaches of model featurization is provided for ML property prediction. Finally, the model is used to screen more than 19 million perovskites to develop a list of promising cheap, earth‐abundant, stable, and high performing materials, and find some top materials contain mixtures of less‐explored elements (e.g., K, Bi, Y, Ni, Cu) worth exploring in more detail.

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“…13 Hence, there is a need to lower the operational temperature to an intermediate range (600−800 °C). 14 A new type of R-SOC system-reversible semiconductor-ionic cell (R-SIC) has gradually attracted attention to reduce the operating temperature. 15 Typically, the semiconductor-ionic cell (SIC) is a cell based on semiconductor and ionic conductor composite materials as a homogeneous layer.…”

Section: ■ Introductionmentioning

confidence: 99%

“…However, conventional high-temperature R-SOCs (800–1000 °C) encounter significant challenges, including microstructural coarsening of electrodes, as well as interface reactions between the electrolyte and electrode . Hence, there is a need to lower the operational temperature to an intermediate range (600–800 °C) …”

Section: Introductionmentioning

confidence: 99%

Improved Performance of Reversible Solid Oxide Cells with Ba_0.9Co_0.2Fe_0.7Nb_0.1F_0.1O_2.9−δ Semiconductor: Synthesis, Characterization, and Performance Evaluation

Yang,

Quan,

et al. 2024

Ind. Eng. Chem. Res.

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Promising energy conversion devices, reversible solid oxide cells (R-SOCs) offer the potential for the efficient conversion of fuel into electrical energy. Nonetheless, the development of a reliable bifunctional electrocatalyst as an electrode material for R-SOC devices presents considerable challenges. Hence, two semiconductors, Ba 0.9 Co 0.2 Fe 0.7 Nb 0.1 O 3−δ (BCFeN) and Ba 0.9 Co 0.2 Fe 0.7 Nb 0.1 F 0.1 O 2.9−δ (BCFeNF) are synthesized. F doping causes a significant reduction in the average valence states of Co, Fe, and Nb elements, ultimately leading to a rise in the concentration of oxygen vacancies, further enhancing the oxygen migration capability of BCFeN. Furthermore, F doping enhances the catalytic performance for the oxidation of hydrogen and the reduction of oxygen. The rate-determining step (RDS) in hydrogen oxidation reaction on BCFeN and BCFeNF surfaces is the H 2 adsorption and dissociation process, while the RDS in oxygen reduction reaction is the reduction of adsorbed oxygen atoms to O − species. Remarkably, the outstanding reversible performance is exhibited by the single cell employing BCFeNF with O 2 as the oxidant and humidified H 2 (30% H 2 O) as the fuel. At 700 °C, when operating in solid oxide fuel cell mode, the maximum power density reaches 288.9 mW cm −2 , and the R-SOC maintains a current density of −301.6 mA cm −2 at 1.3 V in solid oxide electrolysis cell mode.

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A comprehensive review of recent progresses in cathode materials for Proton-conducting SOFCs

Cited by 59 publications

References 257 publications

Dual Self-Assembled Nanocomposite Cathode for Protonic Ceramic Fuel Cells

Dual Self-Assembled Nanocomposite Cathode for Protonic Ceramic Fuel Cells

Machine Learning Design of Perovskite Catalytic Properties

Improved Performance of Reversible Solid Oxide Cells with Ba_0.9Co_0.2Fe_0.7Nb_0.1F_0.1O_2.9−δ Semiconductor: Synthesis, Characterization, and Performance Evaluation

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A comprehensive review of recent progresses in cathode materials for Proton-conducting SOFCs

Cited by 59 publications

References 257 publications

Dual Self-Assembled Nanocomposite Cathode for Protonic Ceramic Fuel Cells

Dual Self-Assembled Nanocomposite Cathode for Protonic Ceramic Fuel Cells

Machine Learning Design of Perovskite Catalytic Properties

Improved Performance of Reversible Solid Oxide Cells with Ba0.9Co0.2Fe0.7Nb0.1F0.1O2.9−δ Semiconductor: Synthesis, Characterization, and Performance Evaluation

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Product

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Improved Performance of Reversible Solid Oxide Cells with Ba_0.9Co_0.2Fe_0.7Nb_0.1F_0.1O_2.9−δ Semiconductor: Synthesis, Characterization, and Performance Evaluation