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KMID : 0380020140290040225
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Korean Journal of Biotechnology and Bioengineering
2014 Volume.29 No. 4 p.225 ~ p.231
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Improvement of Power Generation of Microbial Fuel Cells using Maximum Power Point Tracking (MPPT) and Automatic Load Control Algorithm
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Song Young-Eun
Kim Jung-Rae
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Abstract
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A microbial fuel cell (MFC) and bioelectrochemical systems are novel bioprocesses which employ exoelectrogenic biofilm on electrode as a biocatalyst for electricity generation and various useful chemical production. Previous reports show that electrogenic biofilms of MFCs are time varying systems and dynamically interactive with the electrically conductive media (carbon paper as terminal electron acceptor). It has been reported that maximum power point tracking (MPPT) method can automatically control load by algorithm so that increase power generation and columbic efficiency. In this study, we developed logic based control strategy for external load resistance by using LabVIEWTM which increases the power production with using flat-plate MFCs and MPPT circuit board. The flat-plate MFCs inoculated with anaerobic digester sludge were stabilized with fixed external resistance from 1000 Ω to 100 Ω. Automatic load control with MPPT started load from 52 Ω during 120 hours of operation. MPPT control strategy increased approximately 2.7 times of power production and power density (1.95 mW and 13.02 mW/m3) compared to the initial values before application of MPPT (0.72 mW and 4.79 mW/m3).
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KEYWORD
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Microbial fuel cell (MFC), Bioelectrochemical system (BES), maximum power point tracking (MPPT), Flat-plate MFC, power density
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