研究目的
To compare the performance of indium tin oxide (ITO), aluminum-doped zinc oxide (ZnO:Al), and hydrogenated indium oxide (IO:H) as front transparent conductive oxides (TCOs) in rear-junction silicon heterojunction (SHJ) solar cells through simulations and experiments.
研究成果
The study concludes that high-mobility TCOs like IO:H are expected to outperform other TCOs under investigation for rear-junction SHJ solar cells. However, the rear-junction solar cell design permits the implementation of a lower conductive TCO like ZnO:Al with comparable performance to ITO, offering a cost-effective alternative for mass production.
研究不足
The study highlights the trade-off between the optimal crystallization of the IO:H and the passivation properties of the i/p layers after thermal processes. The thermal budget for the annealing process of IO:H is excessive for the device, diminishing the passivation of the c-Si wafer.
1:Experimental Design and Method Selection
The study involved numerical simulations to define optically optimal thicknesses for a double layer anti-reflective coating system and two-dimensional electrical simulations to compare front-junction and rear-junction devices.
2:Sample Selection and Data Sources
n-type Czochralski (CZ) silicon wafers with 5 Ω cm resistivity were used for solar cells preparation. TCO layers were deposited on 1.1 mm thick Corning Eagle glass.
3:List of Experimental Equipment and Materials
In-line DC magnetron sputtering system from Leybold Optics (A600V7), Perkin Elmer Lambda 1050 spectrophotometer, Ecopia HMS 3000 system for Hall measurements, AKT1600 cluster tool from Applied Materials for PECVD.
4:Experimental Procedures and Operational Workflow
Solar cells were prepared by varying the front TCO layers and characterized using current voltage (J-V) measurements under an AM1.5G spectrum. Resistance measurements on TLM structures were carried out to calculate TCO-silver contact resistivity and TCO sheet resistance.
5:Data Analysis Methods
Optical simulations were carried out with the Matlab-based program GenPro4, and electrical simulations were performed with the two-dimensional program Quokka2.
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