Radiative property investigation of metal nanoparticles embedded in absorption layer for thin-film solar cell with the consideration of medium absorption and dependent scattering

被引:7
作者
Zhang, Aoyu [1 ,2 ]
Cheng, Ziming [1 ,2 ]
Wang, Fuqiang [1 ,2 ]
Xie, Weixin [2 ]
Liang, Huaxu [1 ,2 ]
机构
[1] Harbin Inst Technol, Sch Energy Sci & Engn, 92 West Dazhi St, Harbin 150001, Peoples R China
[2] Harbin Inst Technol Weihai, Sch New Energy, 2 West Wenhua Rd, Weihai 264209, Peoples R China
关键词
Dependent scattering; Medium absorption; Solar energy; Radiative transfer; Localized surface plasmon resonance; OPTICAL-PROPERTIES; SILICON; PERFORMANCE; REFLECTION; EXTINCTION; NANOFLUIDS; CONSTANTS; AU;
D O I
10.1016/j.optcom.2023.129654
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Spectral radiative transfer between particles of dispersed particulate medium occurs widely in many fields, which may be affected by host medium absorption (HMA) and dependent scattering effect (DSE) between particles. However, few studies on the radiative properties of dispersed particulate medium have considered both the effects of medium absorption and dependent scattering, which can result in significant errors. Meanwhile, metal nanoparticles (NPs) are used generally in absorption layer of thin-film solar cells due to their localized surface plasmon resonance (LSPR) effect. The absorption layer embedded with metal NPs could be seen as the special dispersed particulate medium. To calculate the radiative properties of metal NPs embedded in absorption layer for thin-film solar cell accurately, the idea of combining the LSPR of metal NPs, DSE between particles, and HMA is proposed by the authors. Multiple sphere T-matrix (MSTM) method and generalized Mie scattering theory are used to calculate the radiative properties of metal NPs embedded in absorption layer for thin-film solar cell with the consideration of HMA and DSE. Compared to the conventional method without the consideration of HMA and DSE, the method can decrease the maximum relative error and average error between experimental data and calculation data from 62.75% to 8.09%, and from 14.22% to 3.72%, respectively.
引用
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页数:10
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