钙钛矿(结构)
材料科学
钙钛矿太阳能电池
太阳能电池
碘化物
光伏系统
能量转换效率
光电子学
兴奋剂
纳米技术
化学工程
无机化学
结晶学
化学
电气工程
工程类
作者
Divya Sharma,Rajesh Mehra,Balwinder Raj
出处
期刊:NANO
[World Scientific]
日期:2023-11-18
卷期号:18 (14)
标识
DOI:10.1142/s1793292023501096
摘要
Perovskite solar cells came to limelight owing to their simple fabrication processes, cost-effectiveness, better optoelectronic characteristics and outstanding power conversion efficiencies (PCEs). These solar cells have simply outpaced their rival cells since the alteration from aqueous hole transport layers (HTLs) to solid HTLs. Various layers of a perovskite cell viz. light absorber layer, electron transport layer (ETL) and HTL play a decisive role in ascertaining its performance. Today, various types of organic and inorganic HTLs are available but inorganic HTLs have gained an upper hand over their organic counterparts in terms of stability, cost, fabrication and material properties which represent them as a prospective candidate for optimum perovskite device. Copper antimony sulfide (CuSbS[Formula: see text] is a common HTL available in abundance with the benefit of an adequate bandwidth of 1.54[Formula: see text]eV. In addition, CuSbS 2 possesses substantial band aligning and electron inhibiting features. This research paper elaborates a relative study of two perovskite solar devices possessing discrete inorganic hole transport layers, i.e., cuprous iodide (CuI) and copper antimony sulfide (CuSbS[Formula: see text], and discrete perovskite layers, i.e., MAPbI[Formula: see text]Cl[Formula: see text] and MASnI 3 , using the same negative charge transport layer, i.e., Cd[Formula: see text]Zn[Formula: see text]S, through numerical simulation employing SCAPS-1D. The effects of thickness, defect density and doping concentration with respect to absorbing layer on the efficiency and other parameters of perovskite layers are also discussed. By employing CuSbS 2 with MASnI 3 in the proposed device, the solar cell parameters are efficacious enough demonstrating the [Formula: see text] of 1.10[Formula: see text]V, PCE of 31.11%, fill factor (FF) of 83.05% and [Formula: see text] of 33.75[Formula: see text]mA[Formula: see text]⋅[Formula: see text]cm[Formula: see text].
科研通智能强力驱动
Strongly Powered by AbleSci AI