MESSAI.iO

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A fuzzy model and Harris Hawks optimization were used to improve the performance of a microbial fuel cell by optimizing substrate concentration, co-culture composition, pH, and time.

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Literature priors

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Distribution

Reported parameters

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Coulombic efficiency0.37%

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What they did

System
MFC

What worked

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Abstract

Summary Microbial fuel cell (MFC) is a promising technology since two important processes: wastewater treatment and electrical energy, can be obtained simultaneously. The performance of the MFC (maximum power density (MPD) and COD removal) depends mainly on substrate concentration, pH time, and initial COD. Therefore, the main target of this work is to simultaneously increase the MPD and COD removal by determining the optimal controlling parameters. The proposed methodology integrates fuzzy modelling and Harris Hawks optimization (HHO). Firstly, based on the experimental data set, an accurate fuzzy model is created to simulate the performance of MFC in terms of four controlling parameters. To prove the superiority of fuzzy model, the results are compared with response surface methodology (RSM) in terms of RMSE and coefficient of determination ( R 2 ). Secondly, using HHO, the optimal values of substrate concentration, co‐culture composition, pH, and time are determined. These four controlling parameters are used as decision variables during the optimization process, whereas the objective function is the simultaneous maximization of the MPD and COD removal. The obtained results proved that the optimal substrate concentration, pH, time, and initial COD values are 58.2%, 7, 14.4 days, and 32 × 10 −3 (mg/L) respectively. Under this condition, the integration between fuzzy and HHO, the overall performance of MFC has been improved by 10.37% and 19.13%, respectively, compared with the experimental and RSM.

Key findings

  • The fuzzy model accurately simulated the performance of the MFC with a lower RMSE and higher R² compared to response surface methodology.
  • The optimal values of the controlling parameters were determined using Harris Hawks optimization, resulting in improved maximum power density and COD removal.
  • The proposed methodology effectively increased the maximum power density and COD removal of the MFC.

Keywords

Response surface methodologyMicrobial fuel cellFuzzy logicSubstrate (aquarium)MaximizationCoefficient of determination

Identifiers

DOI
10.1002/er.8152
Journal
International Journal of Energy Research
Year
2022