Enhanced oxygen reduction kinetics by a porous heterostructured cathode for intermediate temperature solid oxide fuel cells
作者机构:Institute of Nuclear and New Energy Technology(INET)Collaborative Innovation Center of Advanced Nuclear Energy TechnologyTsinghua University30 Shuang Qing RoadBeijing 100084PR China Department of Chemical EngineeringUniversity of WaterlooWaterloo ON N2L 3G1Canada Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085PR China Institute for Sustainable Energy/College of SciencesShanghai UniversityShanghai 200444PR China
出 版 物:《能源与人工智能(英文)》 (Energy and AI)
年 卷 期:2020年第2卷第2期
页 面:54-62页
学科分类:08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程(可授工学、理学学位)]
主 题:Heterostructure Oxygen reduction reaction(ORR) Intermediate temperature-SOFC Nd_(0.8)Sr_(1.2)CoO_(4)±/Nd_(0.5)Sr_(0.5)CoO_(3-δ) 𝛿Energy bandgap Oxygen vacancy
摘 要:A novel porous heterostructured Nd_(0.8)Sr_(1.2)CoO_(4)±/Nd_(0.5)Sr_(0.5)CoO_(3-δ)(NSC_(214/113))cathode for intermediate tem-perature solid oxide fuel cells(IT-SOFCs)is developed to significantly enhance oxygen reduction reaction(ORR)*** to single-phase materials,the fabricated porous heterostructured NSC 214/113 shows optimized electrochemical properties,including a better conductivity,20 times faster surface oxygen exchange kinetics,and a comparatively lower area-specific resistance(0.065Ωcm^(2) at 800℃).The single cell with Ni-YSZ|YSZ-GDC|NSC_(214/113) configuration exhibits a high peak power density of 1.10 W cm^(−2) at 800℃,superior to other cells reported in literature with similar heterostructured ***,the underlying mechanism of the ORR performance enhancement is further investigated,revealing that the formation of heterojunction can lead to a narrowed energy bandgap and a decrease of Co oxidation state,which further induce better conductivity,more available electrons and oxygen vacancies to enhance the ORR *** together,our research also provides new insights into potential application of artificial intelligence(AI)method involved in materials in-telligent identification,cell state estimation,system diagnostic and *** revolutionary force of AI,especially in the field of new electrode material development is now advancing in its full *** and greater breakthroughs are still expected.