材料科学
钙钛矿(结构)
介电谱
能量转换效率
碳纤维
介孔材料
堆栈(抽象数据类型)
磁滞
化学工程
光电子学
纳米技术
电极
电化学
复合材料
化学
复合数
催化作用
计算机科学
物理化学
程序设计语言
生物化学
工程类
物理
量子力学
作者
Nidia G. García-Peña,Mahmoud Nabil,Dena Pourjafari,Diecenia Peralta-Domínguez,Wendy Yaznay Padrón-Hernández,Adriana Paola Franco-Bacca,A. Rios-Flores,B. E. Heredia-Cervera,Renán Escalante,Geonel Rodríguez‐Gattorno,M. Acosta,Paul Pistor,Juan A. Anta,Gerko Oskam
标识
DOI:10.1021/acsaem.4c01720
摘要
Hybrid lead halide perovskite solar cells (PSCs) stand out in terms of their high efficiency, yet the limited stability and process scalability pose challenges to their commercialization. Fully printable carbon-based perovskite solar cells (C-PSCs), consisting of a triple stack of mesoporous titania, zirconia, and carbon layers impregnated with the perovskite material, have been introduced as an attractive architecture; however, they generally exhibit lower efficiency. This study proposes a viable and scalable approach to increase the efficiency of C-PSCs by incorporation of an intermediate layer of mesoporous, nanostructured NiCo2O4 between the zirconia and carbon layers. The devices show an average increase in power conversion efficiency from 7.9 to 11%, with a champion device efficiency of 12.4%, associated with an enhanced average open-circuit voltage (VOC) from 0.869 to 0.962 V. Electrochemical impedance spectroscopy reveals that the high-frequency recombination resistance (RHF) decreases exponentially with VOC with the same slope as for the reference triple-stack system, indicating that the mechanism is unchanged; however, a substantial increase in RHF is observed. These results indicate that the hole extraction efficiency improves upon incorporation of the NiCo2O4 film thus decreasing surface recombination at the nonselective carbon contact. On the other hand, we postulate a possible contribution of the high capacitance of the interlayer, which may result in a shift of the Fermi energy of the carbon electrode and play a role in the hysteresis in the current - voltage curve.
科研通智能强力驱动
Strongly Powered by AbleSci AI