Maximum power point tracking to increase the power production and treatment efficiency of a continuously operated flat-plate microbial fuel cell

Young Eun Song, Hitesh C. Boghani, Hong Suck Kim, Byung Goon Kim, Taeho Lee, Byong Hun Jeon, Giuliano C. Premier, Jung Rae Kim

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1427-1434
Number of pages8
JournalEnergy Technology
Volume4
Issue number11
Early online date4 Aug 2016
DOIs
Publication statusPublished - 1 Nov 2016

Keywords

  • anodes
  • bacteria
  • bioelectrochemical systems
  • microbial fuel cells
  • process optimization

ASJC Scopus subject areas

  • Energy(all)

Fingerprint

Dive into the research topics of 'Maximum power point tracking to increase the power production and treatment efficiency of a continuously operated flat-plate microbial fuel cell'. Together they form a unique fingerprint.

Cite this