研究目的
Investigating the optimal p-n junction structure in Cu(In,Ga)(Se,S)2 thin-film solar modules through co-optimization of composition gradients and buffer layers to enhance efficiency.
研究成果
Co-optimization of Ga-profiles and CdS buffer layers in CIGSeS solar modules leads to significant efficiency improvements, with an optimal structure achieving a 40% relative increase from 15.5% to 21.9%. Key factors include trade-offs in recombination losses, carrier collection, and band alignment, highlighting the importance of tailored composition gradients and buffer thickness for future high-efficiency solar cells.
研究不足
The study relies on simulation models calibrated with experimental data, which may not capture all real-world variations. The focus is on specific sulfur incorporation (SS=20%, DP=15%), limiting generalizability to other compositions. The optimal structures are theoretical and may face manufacturing challenges in practical implementation.
1:Experimental Design and Method Selection:
A Technology Computer Aided Design (TCAD) simulation model is developed and calibrated with experimental samples from a reported solar module manufacturing platform. Mixed-mode simulation combining TCAD and SPICE is used to account for parasitic resistances in the solar module. Physical models include optical simulation using transfer matrix method (TMM), recombination models (SRH, Auger, Radiative, surface recombination), and thermionic emission for carrier transportation across heterojunctions.
2:Sample Selection and Data Sources:
Experimental samples are produced in the reported solar module manufacturing platform, with material parameters calibrated from these samples.
3:List of Experimental Equipment and Materials:
The device structure consists of glass substrate/350 nm Mo/
4:7 μm Cu(In,Ga)(Se,S)2/CdS/8 μm ZnO:
B. CdS buffer is deposited using chemical bath deposition (CBD) method.
5:Experimental Procedures and Operational Workflow:
Simulations are performed to solve coupled equations for optical, electrostatic, and carrier continuity in 3D structures. Parameters such as FGa (front-to-back Ga ratio), GGIavg (averaged Ga/(Ga+In) ratio), and CdS thickness are varied. Data collection includes J-V characteristics, collection efficiency profiles, and band alignment effects.
6:Data Analysis Methods:
Performance parameters (efficiency, VOC, JSC, FF) are analyzed. Collection efficiency is calculated using voltage-dependent photocurrent differences. Statistical analysis is based on simulation outputs.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容