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A logic-based MPPT algorithm was developed and applied to a continuously operating flat-plate microbial fuel cell, achieving a maximum power density of 88.0 W m⁻³.

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What they did

System
MFC

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Abstract

Abstract 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 W m −3 . 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.

Key findings

  • Maximum power point tracking (MPPT) algorithm was able to dynamically derive optimal performance from varied operating conditions of FPMs.
  • MPPT algorithm improved power production and treatment efficiency of the FPM system.
  • The interaction between the MPPT algorithm and electrochemically active microbial performance on the electrode was demonstrated.

Keywords

Microbial fuel cellMaximum power point trackingMaximum power principlePower (physics)Tracking (education)Resistive touchscreen

Identifiers

DOI
10.1002/ente.201600191
Journal
Energy Technology
Year
2016