A logic-based maximum power point tracking (MPPT) and LabVIEW interface for digitally controlled variable resistive
load were developed and applied to a continuously operating flat-plate microbial fuel cell (FPM). The interaction between
the designed MPPT algorithm and electrochemically active microbial performance on the electrode was demonstrated to
track the maximal performance of FPM system. MPPT could dynamically derive the optimal performance from varied operating
conditions of FPMs such as organic concentration, flow rate, and sampling interval, and produce a maximum
power density of 88.0 Wm3. The results provide essential information to build an automatic control strategy to achieve
the maximum performance from field scale microbial fuel cells for applications to sustainable bioenergy recovery from
various biomass feedstocks.
