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Low-cost fabrication of high-performance anode-supported SOFCs with anti-carbon deposition capability
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作者 Shang Peng Zhao Liu +4 位作者 Pairuzha Xiaokaiti Tiancheng Fang Jiwei Wang Guoqing Guan Abuliti Abudula 《Resources Chemicals and Materials》 2025年第3期37-45,共9页
The development of cost-effective solid oxide fuel cells(SOFCs)is crucial for the large-scale application.In this study,anode-supported SOFC single cells were fabricated using a combination of slurry spraying and spin... The development of cost-effective solid oxide fuel cells(SOFCs)is crucial for the large-scale application.In this study,anode-supported SOFC single cells were fabricated using a combination of slurry spraying and spin-coating technique to achieve a dense Yttria Stabilized Zirconia(YSZ)electrolyte layer while maintaining low production cost.The electrochemical performance of the fabricated SOFC was evaluated using hydrogen and dry methane as fuels.Microstructural analysis confirmed that the YSZ electrolyte exhibited high densification with a thickness of approximately 10μm,ensuring excellent gas-tightness and preventing fuel crossover.The NiO-YSZ anode demonstrated favorable porosity,with well-sintered NiO particles forming a robust framework to facilitate electrochemical reactions.Performance evaluations revealed that under hydrogen operation,the SOFC achieved a peak power density of 1.408 W/cm^(2)at 1000℃,with open-circuit voltages(OCVs)closely matching theoretical predictions.When operated with dry methane,the SOFC maintained stable performance,reaching a peak power density of 0.96 W/cm^(2)at 1000℃,highlighting its potential for direct hydrocarbon utilization.Gas composition analysis of the anode exhaust confirmed the absence of excessive carbon deposition,indicating the effectiveness of the anode microstructure in mitigating coking during methane oxidation.These findings demonstrate that the spray-coated and spin-coated SOFC design offers a promising approach to improving fuel cell efficiency and cost-effectiveness.Future research should focus on optimizing electrolyte fabrication methods and enhancing anode stability in hydrocarbon-fueled operation to further advance the commercialization of SOFC technology. 展开更多
关键词 Solid oxide fuel cell(SOFC) anode-supported SOFC Electrochemical performance Methane oxidation Carbon deposition
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Preparation of Porous NiO-Ce_(0.8)Sm_(0.2)O_(1.9) Ceramics for Anode-supported Low-temperature Solid Oxide Fuel Cells
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作者 Han Chen Kui Cheng Zhicheng Wang Wenjian Weng Ge Shen Piyi Du Gaorong Han 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2010年第6期523-528,共6页
Porous NiO-Ce0.8Sm0.2O1.9(NiO-SDC) ceramics with homogeneous pore distribution were prepared using polystyrene (PS) spheres as pore templates. NiO-SDC powders were synthesized by a glycine-nitrate method, ultrason... Porous NiO-Ce0.8Sm0.2O1.9(NiO-SDC) ceramics with homogeneous pore distribution were prepared using polystyrene (PS) spheres as pore templates. NiO-SDC powders were synthesized by a glycine-nitrate method, ultrasonically mixed with PS spheres in ethanol, dried and then pressed into green pellets. The pellets were sintered to yield porous NiO-SDC ceramics. The effects of the sintering temperature on the microstructure and mechanical strength of the ceramics were investigated. NiO-SDC ceramics sintered at 1200 and 1350℃ have interconnected pore structures and high compression strength. When single cells were fabricated using porous NiO-SDC ceramics as anode-supported layers, the peak power density of the cells at 600℃ was 333 and 353 mW.cm-2 for ceramics sintered at 1200 and 1350℃, respectively. The results indicated that these porous ceramic materials are promising for anode substrates for solid oxide fuel cells. 展开更多
关键词 Porous ceramic NiO-Ce0.8Sm0.2O1.9 (NiO-SDC) Polystyrene spheres Microstructure anode-supported solid oxide fuel cells
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Optimization Study on Performance of Automotive Anode-Supported Solid Oxide Fuel Cells with Gradient Components Anode
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作者 Pei Fu Jianzhang Zhang +1 位作者 Ying Chen Yisong Chen 《Automotive Innovation》 2025年第3期568-590,共23页
Solid oxide fuel cells(SOFCs)are an advanced green energy technology that efficiently harnesses H2 and is very important in transforming the energy landscape of vehicles.However,traditional SOFCs often struggle to mee... Solid oxide fuel cells(SOFCs)are an advanced green energy technology that efficiently harnesses H2 and is very important in transforming the energy landscape of vehicles.However,traditional SOFCs often struggle to meet vehicle performance demands.For anode-supported automotive SOFCs,the gradient anode design is considered an important structure that is expected to enhance the comprehensive performance.Although the optimization of anodes with gradient porosity and particle size has been well studied,the optimization of anodes with gradient component distributions has not been adequately researched.The performance of SOFC with homogenous anode components is well researched.The study analyzed the effect of the number of anode functional layers(AFLs)on SOFC performance,and the component distribution of the layered AFL was optimized using a combination of a back-propagation neural network(BPNN)and a genetic algorithm(GA).Finally,the distribution of the continuous gradient components in the AFL was optimized using the same methodology.The results show that the variation of component distribution in the anode support layer(ASL)has minimal impact on the SOFC performance;however,the SOFC performance is significantly enhanced when the anode is structured with two layers(l=2).The maximum power density(Pmax)of the layered anode(l=2)with optimized gradient components increased by 10.63%compared to a homogeneous anode structure.This improvement is observed when the electron conductor volume fractions of AFL1 and AFL2 are set at 64.37%and 46.50%,respectively,and when the components of AFL are continuously distributed according to a power function,the Pmax surpasses all other tested conditions. 展开更多
关键词 Automotive anode-supported SOFCs Gradient components anode Optimization study Back-propagation neural network Genetic algorithm
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