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La0.8Sr0.2Co0.8Ni0.2O3-δ impregnated oxygen electrode for H2O/CO2 co-electrolysis in solid oxide electrolysis cells
Journal of Power Sources ( IF 9.2 ) Pub Date : 2018-02-24 , DOI: 10.1016/j.jpowsour.2018.02.041
Haoyu Zheng , Yunfeng Tian , Lingling Zhang , Bo Chi , Jian Pu , Li Jian

High-temperature H2O/CO2 co-electrolysis through reversible solid oxide electrolysis cell (SOEC) provides potentially a feasible and eco-friendly way to convert electrical energy into chemicals stored in syngas. In this work, La0.8Sr0.2Co0.8Ni0.2O3-δ (LSCN) impregnated Gd0.1Ce0.9O1.95 (GDC)-(La0.8Sr0.2)0.95MnO3-δ (LSM) composite oxygen electrode is studied as high-performance electrode for H2O/CO2 co-electrolysis. The LSCN impregnated cell exhibits competitive performance with the peak power density of 1057 mW cm−2 at 800 °C in solid oxide fuel cell (SOFC) mode; in co-electrolysis mode, the current density can reach 1.60 A cm−2 at 1.5 V at 800 °C with H2O/CO2 ratio of 2/1. With LSCN nanoparticles dispersed on the surface of GDC-LSM to maximize the reaction active sites, the LSCN impregnated cell shows significant enhanced electrochemical performance at both SOEC and SOFC modes. The influence of feed gas composition (H2O-H2-CO2) and operating voltages on the performance of co-electrolysis are discussed in detail. The cell shows a very stable performance without obvious degradation for more than 100 h. Post-test characterization is analyzed in detail by multiple measurements.



中文翻译:

用于固体氧化物电解池中H 2 O / CO 2共电解的La 0.8 Sr 0.2 Co 0.8 Ni 0.2 O3 浸渍氧电极

通过可逆固体氧化物电解池(SOEC)进行的高温H 2 O / CO 2共电解提供了将电能转化为合成气中存储的化学物质的潜在可行且生态友好的方式。在这项工作中,研究了La 0.8 Sr 0.2 Co 0.8 Ni 0.2 O3 (LSCN)浸渍的Gd 0.1 Ce 0.9 O 1.95(GDC)-(La 0.8 Sr 0.20.95 MnO3 (LSM)复合氧电极的研究。用于H 2 O / CO 2的高性能电极共电解。LSCN浸渍电池在固态氧化物燃料电池(SOFC)模式下在800°C时具有1057 mW cm -2的峰值功率密度,具有竞争优势;在共电解模式下,在H 2 O / CO 2比为2/1的情况下,在800 V的1.5 V下,电流密度可以达到1.60 A cm -2。通过将LSCN纳米颗粒分散在GDC-LSM的表面上以最大化反应活性位点,LSCN浸渍的电池在SOEC和SOFC模式下均显示出显着增强的电化学性能。进料气组成(H 2 O-H 2 -CO 2的影响)和工作电压对共电解性能的影响进行了详细讨论。该电池表现出非常稳定的性能,并且在超过100小时内没有明显的降解。测试后的表征将通过多次测量进行详细分析。

更新日期:2018-02-24
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