Semantic Scholar Open Access 2023 4 sitasi

A Novel Computational Platform for Steady-State and Dynamic Simulation of Dual-Chambered Microbial Fuel Cell

M. Naseer Syed Asad Ali Zaidi Kingshuk Dutta J. Jaafar Yasmin Abdul Wahab +1 lainnya

Abstrak

Microbial fuel cells (MFC) are attractive for the research community as a promising bioelectricity production technology using organic waste. However, due to low performance and erroneous reproducibility and replicability, MFCs lack industrial application. Additionally, the nonlinear dynamic behavior of MFCs, along with the involvement of electrochemistry and biology in mathematical models, makes them 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 an MFC. This novel Simulink/MATLAB model is based on mass balance across both compartments of an MFC, and provides power density as a function of a wide range of performance-affecting parameters. Model validation depicts only a 2-10% error rate. This model can provide a stepping stone to perform theoretical optimization and industrial application studies in the 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.

Penulis (6)

M

M. Naseer

S

Syed Asad Ali Zaidi

K

Kingshuk Dutta

J

J. Jaafar

Y

Yasmin Abdul Wahab

Y

Yuhang Cai

Format Sitasi

Naseer, M., Zaidi, S.A.A., Dutta, K., Jaafar, J., Wahab, Y.A., Cai, Y. (2023). A Novel Computational Platform for Steady-State and Dynamic Simulation of Dual-Chambered Microbial Fuel Cell. https://doi.org/10.1149/1945-7111/acf882

Akses Cepat

Lihat di Sumber doi.org/10.1149/1945-7111/acf882
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1149/1945-7111/acf882
Akses
Open Access ✓