Maximum Power Point Tracking to Increase the Power Production and Treatment Efficiency of a Continuously Operated Flat-Plate Microbial Fuel Cell
- Authors
- Song, Young Eun; Boghani, Hitesh C.; Kim, Hong Suck; Kim, Byung Goon; Lee, Taeho; Jeon, Byong Hun; Premier, Giuliano C.; Kim, Jung Rae
- Issue Date
- Nov-2016
- Publisher
- WILEY-V C H VERLAG GMBH
- Keywords
- anodes; bacteria; bioelectrochemical systems; microbial fuel cells; process optimization
- Citation
- ENERGY TECHNOLOGY, v.4, no.11, pp.1427 - 1434
- Indexed
- SCIE
SCOPUS
- Journal Title
- ENERGY TECHNOLOGY
- Volume
- 4
- Number
- 11
- Start Page
- 1427
- End Page
- 1434
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153621
- DOI
- 10.1002/ente.201600191
- ISSN
- 2194-4288
- 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 Wm(-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.
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