MESSAI.iO

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A new analytical model is proposed to predict energy conversion and utilization in Plant Microbial Fuel Cells (P-MFCs), specifically using Pandanus Amaryllifolius plant as a source of organic compounds.

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Literature priors

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Distribution

Reported parameters

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Coulombic efficiency95.32%

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What they did

System
MFC
Substrate
pure compound

What worked

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Abstract

Plant microbial fuel cell (P-MFC) is an electrochemical reactor that converts organic compounds to electrical energy through the catalytic reaction from electrochemically active bacteria (EAB). However, there is no sign of an attempt in developing the functional model in predicting the energy conversion and utilization of P-MFC. In this study, an analytic model is proposed to show the whole production process of the organic compound to electrical energy generation. Pandanus Amaryllifolius plant was used as sources of photosynthate, where biomass product from rhizodeposition, acetate was produced, and soil bacteria as the microbial culture, and air as the input to the cathode chamber. The proposed analytical model is able to predict the output of the P-MFC using the parameters from the experiment. The generated data from the model was then compared with the monitored data from the Pandanus Amaryllifolius P-MFC. The results show the electrical power output has a high similarity pattern with the bacterial growth curve model and able to achieve the coulombic efficiency of 95.32%.

Key findings

  • The proposed model is able to predict the output of the P-MFC with high accuracy, achieving a coulombic efficiency of 95.32%.
  • The electrical power output of the P-MFC shows a high similarity pattern with the bacterial growth curve model.
  • The model uses parameters from experiments, including biomass production, acetate production, and soil bacteria as the microbial culture.

Keywords

Microbial fuel cellBiomass (ecology)Electric potential energyPulp and paper industryWaste management

Identifiers

DOI
10.11591/ijeecs.v18.i3.pp1163-1171
Journal
Indonesian Journal of Electrical Engineering and Computer Science
Year
2020