Boosting the performance and durability of heterogeneous electrodes for solid oxide electrochemical cells utilizing a data-driven powder-to-power framework

Yang Wang; Chengru Wu; Siyuan Zhao; Zengjia Guo; Minfang Han; Tianshou Zhao; Bingfeng Zu; Qing Du; Meng Ni; Kui Jiao

doi:10.1016/j.scib.2023.02.019

Boosting the performance and durability of heterogeneous electrodes for solid oxide electrochemical cells utilizing a data-driven powder-to-power framework

Sci Bull (Beijing). 2023 Mar 15;68(5):516-527. doi: 10.1016/j.scib.2023.02.019. Epub 2023 Feb 20.

Authors

Yang Wang¹, Chengru Wu², Siyuan Zhao³, Zengjia Guo³, Minfang Han⁴, Tianshou Zhao⁵, Bingfeng Zu⁶, Qing Du⁷, Meng Ni⁸, Kui Jiao⁹

Affiliations

¹ State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China; Department of Building and Real Estate, Research Institute for Sustainable Urban Development (RISUD) & Research Institute for Smart Energy (RISE), Hong Kong Polytechnic University, Hong Kong, China; National Industry-Education Platform of Energy Storage, Tianjin University, Tianjin 300350, China.
² State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China; Department of Building and Real Estate, Research Institute for Sustainable Urban Development (RISUD) & Research Institute for Smart Energy (RISE), Hong Kong Polytechnic University, Hong Kong, China.
³ Department of Building and Real Estate, Research Institute for Sustainable Urban Development (RISUD) & Research Institute for Smart Energy (RISE), Hong Kong Polytechnic University, Hong Kong, China.
⁴ Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China.
⁵ Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
⁶ State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China.
⁷ State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China; National Industry-Education Platform of Energy Storage, Tianjin University, Tianjin 300350, China. Electronic address: duqing@tju.edu.cn.
⁸ Department of Building and Real Estate, Research Institute for Sustainable Urban Development (RISUD) & Research Institute for Smart Energy (RISE), Hong Kong Polytechnic University, Hong Kong, China. Electronic address: meng.ni@polyu.edu.hk.
⁹ State Key Laboratory of Engines, Tianjin University, Tianjin 300350, China; National Industry-Education Platform of Energy Storage, Tianjin University, Tianjin 300350, China. Electronic address: kjiao@tju.edu.cn.

PMID: 36841731
DOI: 10.1016/j.scib.2023.02.019

Abstract

Solid oxide electrochemical cells (SOCs) hold potential as a critical component in the future landscape of renewable energy storage and conversion systems. However, the commercialization of SOCs still requires further breakthroughs in new material development and engineering designs to achieve high performance and durability. In this study, a data-driven powder-to-power framework has been presented, fully digitizing the morphology evolution of heterogeneous electrodes from fabrication to long-term operation. This framework enables accurate performance prediction over the full life cycle. The intrinsic correlation between microstructural parameters and electrode durability is elucidated through parameter analysis. Rational control of the ion-conducting phase volume fraction can effectively suppress Ni coarsening and mitigate the excessive ohmic loss caused by Ni migration. The initial and degraded electrode performances are attributed to the interplay of multiple parameters. A practical optimization strategy to enhance the initial performance and durability of the electrode is proposed through the construction of the surrogate model and the application of the optimization algorithm. The optimal electrode parameters are determined to accommodate various maximum operation time requirements. By implementing the data-driven powder-to-power framework, it is possible to reduce the degradation rate of Ni-based electrodes from 2.132% to 0.703% kh^-1 with a required maximum operation time of over 50,000 h.

Keywords: Data-driven optimization; Electrode performance degradation; Long-term operation; Powder-to-power framework; Solid oxide electrochemical cells.