Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

Optimization of Silicon Solar Cell Efficiency

Authors
Rajan Singh1, *, T. Viswanjali1, S. Durga1, Praveen Yadav1, K. Vignesh1, Shrikant Upadhyay1
1Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India
*Corresponding author. Email: rajansingh@mlrinstitutions.ac.in
Corresponding Author
Rajan Singh
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_41How to use a DOI?
Keywords
SILVACO TCAD; Silicon Solar cell; Renewable Energy; ATLAS Simulation
Abstract

This paper presents a detailed performance analysis of silicon solar cells using the SILVACO TCAD software. Silicon, a widely used material in photovoltaic technology, is known for its durability, efficiency, and low maintenance. This simulation utilizes precise mesh generation through similar X and Y mesh parameters providing accurate modeling of critical device regions. SILVACO TCAD offers a comprehensive platform for designing solar cell structures, specifying material properties, and including advanced physical models, such as Shockley-Read-Hall recombination and Auger recombination. Under typical AM1.5 lighting circumstances, key performance indicators such as consistency, filling factor, no-load voltage, and maximum current density are retrieved. And spectral response of the device is analyzed by evaluating the internal photoelectric efficiency and spectral responsive in terms of photon count across a range in wavelengths. This study highlights the importance of simulation tools in analyzing photovoltaic device performance and advancing the development of efficient solar technologies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_41How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Rajan Singh
AU  - T. Viswanjali
AU  - S. Durga
AU  - Praveen Yadav
AU  - K. Vignesh
AU  - Shrikant Upadhyay
PY  - 2025
DA  - 2025/07/17
TI  - Optimization of Silicon Solar Cell Efficiency
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 524
EP  - 531
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_41
DO  - 10.2991/978-94-6463-787-8_41
ID  - Singh2025
ER  -