Maximizing supercapacitor performance: boosting energy storage with convex optimization

Iqbal Singh; Amardeep Kaur

doi:10.1117/12.3027360

30 September 2024 Maximizing supercapacitor performance: boosting energy storage with convex optimization

Iqbal Singh, Amardeep Kaur

Proceedings Volume 13127, Physical Chemistry of Semiconductor Materials and Interfaces XXIII; 1312708 (2024) https://doi.org/10.1117/12.3027360
Event: Organic Photonics + Electronics, 2024, San Diego, California, United States

Conference Poster

Abstract

Supercapacitors are gaining significance owing to their remarkable ability to develop advanced energy storage devices. This paper uses a new approach to optimize the energy density of supercapacitors using molybdenum disulfide properties by simulating it using the convex optimization method in Python programming by optimizing its crucial parameters. This study provides valuable insights into the potential of this method as a tool to enhance the production of supercapacitors, paving the path for the manufacturing of energy storage devices with smaller sizes and higher performance. The findings with the proposed model highlight the effectiveness of convex optimization in enhancing the performance of supercapacitors offering a robust approach to achieve higher energy density.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Iqbal Singh and Amardeep Kaur "Maximizing supercapacitor performance: boosting energy storage with convex optimization", Proc. SPIE 13127, Physical Chemistry of Semiconductor Materials and Interfaces XXIII, 1312708 (30 September 2024); https://doi.org/10.1117/12.3027360

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