Silicon wafers for industrial n-type SHJ solar cells: Bulk quality requirements, large-scale availability and guidelines for future developments

2021 ◽  
Vol 228 ◽  
pp. 111128
Author(s):  
J. Veirman ◽  
R. Varache ◽  
M. Albaric ◽  
A. Danel ◽  
B. Guo ◽  
...  
2020 ◽  
Vol 08 (02) ◽  
pp. 65-77
Author(s):  
Kishan Shetty ◽  
Yudhbir Kaushal ◽  
Nagesh Chikkan ◽  
D. S. Murthy ◽  
Chandra Mauli Kumar

Solar RRL ◽  
2021 ◽  
Author(s):  
Bruno Vicari Stefani ◽  
Moonyong Kim ◽  
Matthew Wright ◽  
Anastasia Soeriyadi ◽  
Dmitriy Andronikov ◽  
...  

2020 ◽  
Vol 124 (15) ◽  
pp. 8129-8139 ◽  
Author(s):  
Zengqi Huang ◽  
Xiaotian Hu ◽  
Zhi Xing ◽  
Xiangchuan Meng ◽  
Xiaopeng Duan ◽  
...  

2014 ◽  
Vol 59 (1) ◽  
pp. 247-252 ◽  
Author(s):  
M. Musztyfaga-Staszuk ◽  
L.A. Dobrzanski ◽  
S. Rusz ◽  
M. Staszuk

Abstract The aim of the paper was to apply the newly developed instruments ‘Corescan’ and ‘Sherescan’ in order to measure the essential parameters of producing solar cells in comparison with the standard techniques. The standard technique named the Transmission Line Method (TLM) is one way to monitor contacting process to measure contact resistance locally between the substrate and metallization. Nowadays, contact resistance is measured over the whole photovoltaic cell using Corescanner instrument. The Sherescan device in comparison with standard devices gives a possibility to measure the sheet resistance of the emitter of silicon wafers and determine of both P/N recognition and metal resistance. The Screen Printing (SP) method is the most widely used contact formation technique for commercial silicon solar cells. The contact resistance of manufactured front metallization depends of both the paste composition and co-firing conditions. Screen printed front side metallization and next to co-fired in the infrared conveyor furnace was carried out at various temperature from 770°C to 920°C. The silver paste used in the present paper is commercial. The investigations were carried out on monocrystalline silicon wafers. The topography of co-fired in the infrared belt furnace front metallization was investigated using the atomic force microscope and scanning electron microscope (SEM). There were researched also cross sections of front contacts using SEM microscope. Front contacts of the solar cells were formed on non-textured silicon surface with coated antireflection layer. On one hand, based on electrical properties investigations using Sherescan instrument it was obtained the knowledge of the emitter sheet resistance across the surface of a wafer, what is essential in optimizing the emitter diffusion process. On the other hand, it was found using Corescan instrument that the higher temperature apparently results in a strongly decreased contact resistance.


2017 ◽  
Vol 53 (6) ◽  
pp. 1164-1167 ◽  
Author(s):  
Sergey V. Dayneko ◽  
Arthur D. Hendsbee ◽  
Gregory C. Welch

Progress towards practical organic solar cells amenable to large scale production is reported.


RSC Advances ◽  
2021 ◽  
Vol 11 (24) ◽  
pp. 14534-14541
Author(s):  
M. S. Chowdhury ◽  
Kazi Sajedur Rahman ◽  
Vidhya Selvanathan ◽  
A. K. Mahmud Hasan ◽  
M. S. Jamal ◽  
...  

Organic–inorganic perovskite solar cells (PSCs) have recently emerged as a potential candidate for large-scale and low-cost photovoltaic devices.


2018 ◽  
Vol 6 (2) ◽  
pp. 025911
Author(s):  
Jinbing Zhang ◽  
Hongping Fu ◽  
Xingfang Ye ◽  
Lang Zhou

2012 ◽  
Vol 215 (1) ◽  
pp. 17-28 ◽  
Author(s):  
Georg Homuth ◽  
Alexander Teumer ◽  
Uwe Völker ◽  
Matthias Nauck

The metabolome, defined as the reflection of metabolic dynamics derived from parameters measured primarily in easily accessible body fluids such as serum, plasma, and urine, can be considered as the omics data pool that is closest to the phenotype because it integrates genetic influences as well as nongenetic factors. Metabolic traits can be related to genetic polymorphisms in genome-wide association studies, enabling the identification of underlying genetic factors, as well as to specific phenotypes, resulting in the identification of metabolome signatures primarily caused by nongenetic factors. Similarly, correlation of metabolome data with transcriptional or/and proteome profiles of blood cells also produces valuable data, by revealing associations between metabolic changes and mRNA and protein levels. In the last years, the progress in correlating genetic variation and metabolome profiles was most impressive. This review will therefore try to summarize the most important of these studies and give an outlook on future developments.


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