Naseer, Muhammad Nihal and Zaidi, Asad A. and Dutta, Kingshuk and Jaafar, Juhana and Abdul Wahab, Yasmin and Cai, Yuhang (2023) A novel computational platform for steady-state and dynamic simulation of dual-chambered microbial fuel cell. Journal of The Electrochemical Society, 170 (9). ISSN 0013-4651, DOI https://doi.org/10.1149/1945-7111/acf882.
Full text not available from this repository.Abstract
Microbial fuel cell (MFC) is attractive for research community as a promising bioelectricity production technology using organic waste. However, due to low performance and erroneous reproducibility and replicability, MFC lacks industrial application. Additionally, the nonlinear dynamic behavior of MFC, along with the involvement of electrochemistry and biology in mathematical models, makes it difficult to comprehend and simulate. To overcome these barriers, this study provides a simulation platform for conducting theoretical studies using a fundamental mathematical model of MFC. This novel Simulink/MATLAB model is based on mass balance across both compartments of MFC, and provides power density as a function of a wide range of performance-affecting parameters. Model validation depicts only 2%-10% error. This model can provide a stepping stone to perform theoretical optimization and industrial application studies in future. By varying the values of different parameters; studies may be performed to spot optimum values of the most sensitive parameters. Therefore, using the proposed tool paves the path for further improvements in design, cost effectiveness and performance efficiency that ultimately promises up-scaling of MFCs as a renewable and alternative energy resource. Proposed model simulates various design inputs to predict the performance of MFCsVerification with experimental data demonstrates an error between 2%-10% onlySimulation tool provides a platform for sensitivity analysis of design parametersSimulation tool help in optimization studies prior to experimentationModel reduces computational time to only 10 s, also provides a user-friendly interface
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Education, Malaysia [Grant No: FRGS/1/2022/TK09/UM/02/27], Universiti Malaya [Grant No: ST055-2022] |
| Uncontrolled Keywords: | Microbial fuel cell; Modeling; Optimization; Simulation; Simulink model; Process model |
| Subjects: | Q Science > QD Chemistry T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Nanotechnology & Catalysis Research Centre |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 11 Oct 2025 13:01 |
| Last Modified: | 11 Oct 2025 13:01 |
| URI: | http://eprints.um.edu.my/id/eprint/48158 |
Actions (login required)
 |
View Item |
