Key factors governing the device performance of CIGS solar cells: Insights from machine learning

Solar Energy ◽  
2021 ◽  
Vol 228 ◽  
pp. 45-52
Author(s):  
Chengwan Zhu ◽  
Wu Liu ◽  
Yaoyao Li ◽  
Xiaomin Huo ◽  
Haotian Li ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Bo Zhang ◽  
Wenxu Xie ◽  
Yong Xiang

This paper gives an overview of the development and prospect of nanotechnologies utilized in the solar cell applications. Even though it is not clearly pointed out, nanostructures indeed have been used in the fabrication of conventional solar cells for a long time. However, in those circumstances, only very limited benefits of nanostructures have been used to improve cell performance. During the last decade, the development of the photovoltaic device theory and nanofabrication technology enables studies of more complex nanostructured solar cells with higher conversion efficiency and lower production cost. The fundamental principles and important features of these advanced solar cell designs are systematically reviewed and summarized in this paper, with a focus on the function and role of nanostructures and the key factors affecting device performance. Among various nanostructures, special attention is given to those relying on quantum effect.


2001 ◽  
Vol 668 ◽  
Author(s):  
F.S. Hasoon ◽  
H.A. Al-Thani ◽  
K.M. Jones ◽  
Y. Yan ◽  
H. R. Moutinho ◽  
...  

ABSTRACTGraded-band-gap CuIn1−xGaxSe2 (CIGS) absorbers with Ga/Ga+In value in the 20%-30% range have a demonstrated efficiency of 18.8%. For CdS-containing devices, the shortcircuit current density (Jsc) has almost reached its expected maximum. However, the open-circuit voltage of CIGS solar cells is limited by the surface microstructure and chemistry. In this work, we examine the microstructural properties and chemistry of CIGS. We also attempted to correlate the above observations and device performance.


Materials ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 4259
Author(s):  
Grace Rajan ◽  
Shankar Karki ◽  
Robert W. Collins ◽  
Nikolas J. Podraza ◽  
Sylvain Marsillac

A new method combining in-situ real-time spectroscopic ellipsometry and optical modeling to optimize the thickness of an anti-reflective (AR) coating for Cu(In,Ga)Se2 (CIGS) solar cells is described and applied directly to fabricate devices. The model is based on transfer matrix theory with input from the accurate measurement of complex dielectric function spectra and thickness of each layer in the solar cell by spectroscopic ellipsometry. The AR coating thickness is optimized in real time to optically enhance device performance with varying thickness and properties of the constituent layers. Among the parameters studied, we notably demonstrate how changes in thickness of the CIGS absorber layer, buffer layers, and transparent contact layer of higher performance solar cells affect the optimized AR coating thickness. An increase in the device performance of up to 6% with the optimized AR layer is demonstrated, emphasizing the importance of designing the AR coating based on the properties of the device structure.


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