Optimization of effective doping concentration of emitter for ideal c-Si solar cell device with PC1D simulation

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Subramanian, Maruthamuthu, Nagarajan, Balaji, Ravichandran, Aishwarya, Subhash Betageri, Varsha Subhash, Thirunavukkarasu, Gokul Sidarth ORCID: 0000-0002-5126-5979, Jamei, Elmira ORCID: 0000-0002-4270-0326, Seyedmahmoudian, Mehdi, Stojcevski, Alex, Mekhilef, Saad ORCID: 0000-0001-8544-8995 and Minnam Reddy, Vasudeva Minnam (2022) Optimization of effective doping concentration of emitter for ideal c-Si solar cell device with PC1D simulation. Crystals, 12 (2). ISSN 2073-4352


Increasing silicon solar cell efficiency plays a vital role in improving the dominant market share of photo-voltaic systems in the renewable energy sector. The performance of the solar cells can be evaluated by making a profound analysis on various effective parameters, such as the sheet resistance, doping concentration, thickness of the solar cell, arbitrary dopant profile, etc., using software simulation tools, such as PC1D. In this paper, we present the observations obtained from the evaluation carried out on the impact of sheet resistance on the solar cell’s parameters using PC1D software. After which, the EDNA2 simulation tool was used to analyse the emitter saturation current density for the chosen arbitrary dopant profile. Results indicated that the diffusion profile with low surface concentration and shallow junction depth can improve the blue response at the frontal side of the solar cell. The emitter saturation current density decreases from 66.52 to 36.82 fA/cm2 for the subsequent increase in sheet resistance. The blue response also increased from 89.6% to 97.5% with rise in sheet resistance. In addition, the short circuit density and open circuit voltage was also observed to be improved by 0.6 mA/cm2 and 3 mV for the sheet resistance value of 130 Ω/sq, which resulted in achieving the highest efficiency of 20.6%.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/46342
DOI 10.3390/cryst12020244
Official URL https://www.mdpi.com/2073-4352/12/2/244
Subjects Current > FOR (2020) Classification > 4005 Civil engineering
Current > Division/Research > College of Science and Engineering
Keywords silicon solar cell, photo-voltaic systems, solar cells, emitter saturation
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