研究目的
Investigating the biomimetic flexible photonic architectures inspired by silver ants for improved transparency and heat radiation in photovoltaic devices.
研究成果
The FPA-PDMS demonstrated record-high average transmittance and haze in the visible and NIR range, and high emittance in the MIR range, comparable to state-of-the-art thermal emitters. Applied to solar cells, it improved PCE by 6.75% and 3.23% for perovskite and crystalline silicon solar cells, respectively. These findings pave the way for novel visibly transparent thermal blackbody applications by learning from nature's photonic architectures.
研究不足
The synergetic effects of improved transparency and heat radiation need to be characterized outdoors in the future. Scaling up the FPA-PDMS, eliminating sub-bandgap absorption, and performing field tests are required for quantitative determination of gains from combined light-thermal management.
1:Experimental Design and Method Selection:
The study involved mimicking the hierarchically photonic architectures of silver ant hairs with modifications for photovoltaic applications, using soft imprint lithography to fabricate flexible photonic architectures on PDMS.
2:Sample Selection and Data Sources:
Hierarchically textured crystalline silicon wafers were used as masters for texture transfer to PDMS. Optical and thermal emissive properties were characterized across visible, NIR, and MIR spectral ranges.
3:List of Experimental Equipment and Materials:
SEM (S-4800, Hitachi), AFM (Dimension 3100, Vecco), UV-Vis-NIR spectrophotometer (Lambda 950, PerkinElmer), FTIR (VERTEX 70, Bruker), and a steady-state dual-beam solar simulator (Wacom WXS-220 S-L2, AM1.5GMM).
4:5GMM).
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The FPA-PDMS was fabricated by transferring textures from silicon wafers to PDMS, followed by curing. The optical and thermal properties were then measured, and the FPA-PDMS was applied to perovskite and crystalline silicon solar cells to evaluate performance improvements.
5:Data Analysis Methods:
The study utilized spectral analysis for transmittance and emittance, and thermal simulations using COMSOL Multiphysics to understand radiative cooling effects.
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