Simulation and analysis of polycrystalline silicon photovoltaic cells surface color differences based on transfer matrix method

Zijian Chen, Zenghong Ma, Haoyuan Jia, Lian Zhang, Yan Sun, Shiyu Wang

Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (12) : 734-740.

Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (12) : 734-740. DOI: 10.1007/s11801-021-1107-1
Article

Simulation and analysis of polycrystalline silicon photovoltaic cells surface color differences based on transfer matrix method

Author information +
History +

Abstract

Following the previous work, in this paper, the antireflective films thicknesses, refractive indexes and reflectance spectra of different color categories of the polycrystalline silicon cells are tested and compared. It is found that the color difference of polycrystalline silicon cells is mainly caused by the antireflective film. Then the matrix transfer method is used to simulate the reflection spectra according to the actual tested parameters of the samples, and the effectiveness of the simulation is verified. Finally, according to the distribution of the spectral solar irradiance, the total solar absorption of the polycrystalline silicon cells with different antireflective film thicknesses is simulated. The optimal value of the antireflective film thickness of the polycrystalline silicon cell is calculated. This study has important guiding significance for photovoltaic (PV) enterprises to realize the optimal production of plasma enhanced chemical vapor deposition (PECVD) process in production.

Cite this article

Download citation ▾
Zijian Chen, Zenghong Ma, Haoyuan Jia, Lian Zhang, Yan Sun, Shiyu Wang. Simulation and analysis of polycrystalline silicon photovoltaic cells surface color differences based on transfer matrix method. Optoelectronics Letters, 2021, 17(12): 734‒740 https://doi.org/10.1007/s11801-021-1107-1

References

[1]
ChapínD M, FullerC S, PearsonG L. A new silicon p-n junction photocell for converting solar radiation into electrical power[J]. Journal of applied physics, 1954, 25(5):676-677
CrossRef Google scholar
[2]
GreenM A. The path to 25% silicon solar cell efficiency: history of silicon cell evolution[J]. Progress in photovoltaics: research and applications, 2009, 17(3):183-189
CrossRef Google scholar
[3]
DuerinckxF, SzlufcikJ. Defect passivation of industrial multicrystalline solar cells based on PECVD silicon nitride[J]. Solar energy materials and solar cells, 2002, 72(1–4):231-246
CrossRef Google scholar
[4]
SeljJ H, MongstadT T, SondenaR, et al.. Reduction of optical losses in colored solar cells with multilayer antireflection coatings[J]. Solar energy materials and solar cells, 2011, 95(9):2576-2582
CrossRef Google scholar
[5]
LumbM P, YoonW, BaileyC G, et al.. Modeling and analysis of high-performance, multicolored anti-reflection coatings for solar cells[J]. Optics express, 2013, 21(S4):A585-A594
CrossRef Google scholar
[6]
JiaH, LuoL, LiB, et al.. Performance of polycrystal silicon color solar cells[J]. Acta physica sinica, 2013, 62(16):487-491(in Chinese)
[7]
BasherM K, MishanR, BiswasS, et al.. Study and analysis the Cu nanoparticle assisted texturization forming low reflective silicon surface for solar cell application[J]. AIP advances, 2019, 9(7):075118
CrossRef Google scholar
[8]
SobhaniF, HeidarzadehH, BahadorH. Photocurrent improvement of an ultra-thin silicon solar cell using the localized surface plasmonic effect of clustering nanoparticles[J]. Chinese physics B, 2020, 29(6): 068401
CrossRef Google scholar
[9]
MinS K, JuH L, KwakM K. Review: surface texturing methods for solar cell efficiency enhancement[J]. International journal of precision engineering and manufacturing, 2020, 21(7): 1-10
[10]
LuW, QiuX, ZhaoQ, et al.. Enhanced optoelectronic conversion performance of nano-textured multi-crystalline silicon solar cells through optimizing emitter sheet resistivity[J]. Journal of optoelectronics-lasers, 2020, 31(7):675-681(in Chinese)
[11]
DENG K, LI L. Optical design in perovskite solar cells[J]. Small methods, 2019: 1900150.
[12]
EdwardD P. Handbook of optical constants of solids[M], 1985, New York, Academic Press
[13]
WangH, ZhuH, FanD, et al.. Application of transfer matrix method in the teaching of wave optics in college physics[J]. Physics and engineering, 2019, 29(05):118-122(in Chinese)
[14]
ChenZ, WangS, ZhangL, et al.. Design and research of a color discrimination method for polycrystalline silicon cells based on laser detection system[J]. Applied sciences, 2019, 9(20): 4468
CrossRef Google scholar
[15]
Photovoltaic devices — Part 3: Measurement principles for terrestrial photovoltaic (PV) solar devices with reference spectral irradiance data: IEC 60904-3: 2019[S/OL]. [2019-02-15]. http://webstore.iec.ch/publication/64682#additionalinfo.

Accesses

Citations

Detail

Sections
Recommended

/