Fractional Partial Differential Equation Modeling for Solar Cell Charge Dynamics

This paper presents a groundbreaking numerical approach, the fractional differential quadrature method (FDQM), to simulate the complex dynamics of organic polymer solar cells. The method, which leverages polynomial-based differential quadrature and Cardinal sine functions coupled with the Caputo-type fractional derivative, offers a significant improvement in accuracy and efficiency over traditional methods. By employing a block-marching technique, we effectively address the time-dependent nature of the governing equations. The efficacy of the proposed method is validated through rigorous numerical simulations and comparisons with existing analytical and numerical solutions. Each scheme’s computational characteristics are tailored to achieve high accuracy, ensuring an error margin on the order of 10−8 or less. Additionally, a comprehensive parametric study is conducted to investigate the impact of key parameters on device performance. These parameters include supporting conditions, time evolution, carrier mobilities, charge carrier densities, geminate pair distances, recombination rate constants, and generation efficiency. The findings of this research offer valuable insights for optimizing and enhancing the performance of organic polymer solar cell devices.

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Publication Details

Journal
Fractal and Fractional
Published
2024-12-12
DOI
https://doi.org/10.3390/fractalfract8120729
Citations
2
Primary Topic
Silicon and Solar Cell Technologies
Type
article
Field-Weighted Citation Impact
0.42
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article

Fractional Partial Differential Equation Modeling for Solar Cell Charge Dynamics

Mohamed Salah, Ola Ragb, Mokhtar Mohamed, Waleed Mohammed Abdelfattah et al.
2 citations
Fractal and Fractional
Silicon and Solar Cell Technologies
0.42
article

Fractional Partial Differential Equation Modeling for Solar Cell Charge Dynamics

Mohamed Salah, Ola Ragb, Mokhtar Mohamed, Waleed Mohammed Abdelfattah, M. S. Matbuly
article en
2 citations

Abstract

This paper presents a groundbreaking numerical approach, the fractional differential quadrature method (FDQM), to simulate the complex dynamics of organic polymer solar cells. The method, which leverages polynomial-based differential quadrature and Cardinal sine functions coupled with the Caputo-type fractional derivative, offers a significant improvement in accuracy and efficiency over traditional methods. By employing a block-marching technique, we effectively address the time-dependent nature of the governing equations. The efficacy of the proposed method is validated through rigorous numerical simulations and comparisons with existing analytical and numerical solutions. Each scheme’s computational characteristics are tailored to achieve high accuracy, ensuring an error margin on the order of 10−8 or less. Additionally, a comprehensive parametric study is conducted to investigate the impact of key parameters on device performance. These parameters include supporting conditions, time evolution, carrier mobilities, charge carrier densities, geminate pair distances, recombination rate constants, and generation efficiency. The findings of this research offer valuable insights for optimizing and enhancing the performance of organic polymer solar cell devices.

Fractal and FractionalVol. 8(12)
Zagazig University (EG), University of Business and Technology (SA), Delta University for Science and Technology (EG)
Affordable and clean energy
Openalex Percentile: Top 36%
Silicon and Solar Cell Technologies
0.42
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