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research article

Passivating contact-based tunnel junction Si solar cells using machine learning for tandem cell applications

Park, Hyunjung
•
Morisset, Audrey  
•
Kim, Munho
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September 11, 2023
Energy And Ai

Tandem solar cells are a key technology for exceeding the theoretical efficiency limit of single-junction cells. One of the most promising combinations is the silicon-perovskite tandem cells, considering their potential for high efficiency, fabrication on a large scale, and low cost. While most research focuses on improving each subcell, another key challenge lies in the tunnel junction that connects these subcells, significantly impacting the overall cell characteristics. Here, we demonstrate the first use of tunnel junctions using a stack of p+/n+ polysilicon passivating contacts deposited directly on the tunnel oxide to overcome the drawbacks of conventional metal oxide-based tunnel junctions, including low tunneling efficiency and sputter damage. Using Random Forest analysis, we achieved high implied open circuit voltages over 700 mV and low contact resistivities of 500 m omega cm2, suggesting fill factor losses of less than 1% abs for the operating conditions of a tandem cell.

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Type
research article
DOI
10.1016/j.egyai.2023.100299
Web of Science ID

WOS:001077893500001

Author(s)
Park, Hyunjung
Morisset, Audrey  
Kim, Munho
Lee, Hae-Seok
Hessler-Wyser, Aicha  
Haug, Franz-Josef  
Ballif, Christophe  
Date Issued

2023-09-11

Publisher

ELSEVIER

Published in
Energy And Ai
Volume

14

Article Number

100299

Subjects

Computer Science, Artificial Intelligence

•

Energy & Fuels

•

Computer Science

•

tunnel junction

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tandem

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passivating contact

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solar cell

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machine learning

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detailed balance limit

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crystalline silicon

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efficiency

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reassessment

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
PV-LAB  
Available on Infoscience
October 23, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/201778
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