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Maximum Power Point Tracking to Increase the Power Production and Treatment Efficiency of a Continuously Operated Flat‐Plate Microbial Fuel Cell
Author(s) -
Song Young Eun,
Boghani Hitesh C.,
Kim Hong Suck,
Kim Byung Goon,
Lee Taeho,
Jeon ByongHun,
Premier Giuliano C.,
Kim Jung Rae
Publication year - 2016
Publication title -
energy technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.91
H-Index - 44
eISSN - 2194-4296
pISSN - 2194-4288
DOI - 10.1002/ente.201600191
Subject(s) - microbial fuel cell , maximum power point tracking , maximum power principle , power (physics) , tracking (education) , resistive touchscreen , biomass (ecology) , fuel cells , automotive engineering , control theory (sociology) , computer science , electricity generation , environmental science , engineering , voltage , electrical engineering , control (management) , chemical engineering , artificial intelligence , psychology , pedagogy , physics , quantum mechanics , inverter , oceanography , geology
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.