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
This study focuses on the impact of Gd^(3+),Sm^(3+),Er^(3+).Y^(3+),and Bi^(3+)multi-doping on the crystal structure,microscopic surface features,and ionic conductivity of cerium dioxide in the Ce_(1-x)(Gd_(1/5)Sm_(1/5...This study focuses on the impact of Gd^(3+),Sm^(3+),Er^(3+).Y^(3+),and Bi^(3+)multi-doping on the crystal structure,microscopic surface features,and ionic conductivity of cerium dioxide in the Ce_(1-x)(Gd_(1/5)Sm_(1/5)Er_(1/5)Y_(1/)_5Bi_(1/5))_(x)O_(2-δ)(GSEYB)system.This system holds promise as a solid electrolyte material for low and medium-temperature solid oxide fuel cells.The powders of Ce_(1-x)(Gd_(1/5)Sm_(1/5)Er_(1/5)Y_(1/5)Bi_(1/5))_(x)O_(2-δ)(x=0,0.10,0.15,0.20,0.25,0.30)were synthesized using the solid-phase reaction method.The GSEYB electrolytes were comprehensively investigated for their phase structure,microstructure,oxygen vacancy concentration,and ionic conductivity using X-ray diffraction(XRD),scanning electron microscopy(SEM),energy dispersive spectroscopy(EDS),transmission electron microscopy(TEM),X-ray photoelectron spectroscopy(XPS),and impedance spectroscopy.XRD diffraction patterns confirm a cubic fluorite-type structure with Fm3m space groups in all multi-doped systems.After sintering at 1400℃for 10 h,the relative density of doped samples exceeds 96%.In terms of electrical properties,the Ce_(0.75)Gd_(0.05)Sm_(0.05)Er_(0.05)Y_(0.05)Bi_(0.05)O_(2-δ)(x=0.25)electrolyte exhibits the highest ionic conductivity(σ_(t)=4.45×10^(-2)S/cm)and the lowest activation energy(E_(a)=0.79 eV)at 800℃.The coefficient of thermal expansion of the developed electrolyte aligns well with that of the commonly used electrode materials.This compatibility positions it as a highly promising candidate for utilization as an electrolyte material in solid oxide fuel cells(SOFCs).展开更多
针对燃料电池/燃气轮机(SOFC/GT)混合动力系统在变工况运行过程中极易出现的电堆超温和重整器碳沉积等故障,提出一种基于反向传播(Back Propagation,BP)神经网络的故障诊断与性能预测方法。通过搭建混合动力系统动态模型,进行了动态特...针对燃料电池/燃气轮机(SOFC/GT)混合动力系统在变工况运行过程中极易出现的电堆超温和重整器碳沉积等故障,提出一种基于反向传播(Back Propagation,BP)神经网络的故障诊断与性能预测方法。通过搭建混合动力系统动态模型,进行了动态特性分析及验证,设计并优化了BP神经网络结构,实现了对超温与碳沉积故障的准确诊断,以及对电堆温度和系统输出功率的预测。结果表明:所设计的混合动力系统输出功率为388.4 k W,发电效率为61.8%,满足系统设计要求;优化后的BP神经网络模型对超温故障的诊断准确率为97.5%,对碳沉积故障的诊断准确率为92.5%;在空气流量分别阶跃降低12.5%和17.5%的工况下,BP神经网络模型对电堆温度及电堆输出功率的动态预测准确率分别达到97.3%和98.8%。研究结果为未来发展长寿命、绿色高效发电技术提供技术支撑。展开更多
基金supported by JSPS KAKENHI Grant Number 22K04732,Japan.
文摘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.
基金supported by the Guangdong Provincial Basic and Applied Basic Research Foundation(2021A1515010671,2020A1515011221)the Guangdong Provincial Key Discipline Research Capacity Enhancement Project(2021ZDJS071)the Guangdong Provincial College Innovation Project(2021KTSCX122,2022KQNCX077)。
文摘This study focuses on the impact of Gd^(3+),Sm^(3+),Er^(3+).Y^(3+),and Bi^(3+)multi-doping on the crystal structure,microscopic surface features,and ionic conductivity of cerium dioxide in the Ce_(1-x)(Gd_(1/5)Sm_(1/5)Er_(1/5)Y_(1/)_5Bi_(1/5))_(x)O_(2-δ)(GSEYB)system.This system holds promise as a solid electrolyte material for low and medium-temperature solid oxide fuel cells.The powders of Ce_(1-x)(Gd_(1/5)Sm_(1/5)Er_(1/5)Y_(1/5)Bi_(1/5))_(x)O_(2-δ)(x=0,0.10,0.15,0.20,0.25,0.30)were synthesized using the solid-phase reaction method.The GSEYB electrolytes were comprehensively investigated for their phase structure,microstructure,oxygen vacancy concentration,and ionic conductivity using X-ray diffraction(XRD),scanning electron microscopy(SEM),energy dispersive spectroscopy(EDS),transmission electron microscopy(TEM),X-ray photoelectron spectroscopy(XPS),and impedance spectroscopy.XRD diffraction patterns confirm a cubic fluorite-type structure with Fm3m space groups in all multi-doped systems.After sintering at 1400℃for 10 h,the relative density of doped samples exceeds 96%.In terms of electrical properties,the Ce_(0.75)Gd_(0.05)Sm_(0.05)Er_(0.05)Y_(0.05)Bi_(0.05)O_(2-δ)(x=0.25)electrolyte exhibits the highest ionic conductivity(σ_(t)=4.45×10^(-2)S/cm)and the lowest activation energy(E_(a)=0.79 eV)at 800℃.The coefficient of thermal expansion of the developed electrolyte aligns well with that of the commonly used electrode materials.This compatibility positions it as a highly promising candidate for utilization as an electrolyte material in solid oxide fuel cells(SOFCs).
文摘针对燃料电池/燃气轮机(SOFC/GT)混合动力系统在变工况运行过程中极易出现的电堆超温和重整器碳沉积等故障,提出一种基于反向传播(Back Propagation,BP)神经网络的故障诊断与性能预测方法。通过搭建混合动力系统动态模型,进行了动态特性分析及验证,设计并优化了BP神经网络结构,实现了对超温与碳沉积故障的准确诊断,以及对电堆温度和系统输出功率的预测。结果表明:所设计的混合动力系统输出功率为388.4 k W,发电效率为61.8%,满足系统设计要求;优化后的BP神经网络模型对超温故障的诊断准确率为97.5%,对碳沉积故障的诊断准确率为92.5%;在空气流量分别阶跃降低12.5%和17.5%的工况下,BP神经网络模型对电堆温度及电堆输出功率的动态预测准确率分别达到97.3%和98.8%。研究结果为未来发展长寿命、绿色高效发电技术提供技术支撑。
