Application of 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 Boghani; Hong Suck Kim; Byung Goon Kim; Taeho Lee; Byong-Hun Jeon; Giuliano Premier; Jung Rae Kim

doi:10.1002/ente.201600191

Application of 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 Boghani, Hong Suck Kim, Byung Goon Kim, Taeho Lee, Byong-Hun Jeon, Giuliano Premier, Jung Rae Kim

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Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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A logic-based maximum power point tracking (MPPT) and LabVIEWTM 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 FPM such as organic concentration, flow rate and sampling interval, and produce a maximum power density of 88.0 Wm-3. The results could 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.

Iaith wreiddiol	Saesneg
Nifer y tudalennau	34
Cyfnodolyn	Energy Technology
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1002/ente.201600191
Statws	Cyhoeddwyd - 4 Awst 2016

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10.1002/ente.201600191

2016-0601-Effect of MPPT on FPM-whole text Repository versionLlawysgrif a gyflwynwyd, 701 KBTrwydded: CC BY-NC-ND
2016-0601-Supplimentary Information Repository versionLlawysgrif a gyflwynwyd, 4.55 MBTrwydded: CC BY-NC-ND

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@article{0945354d8a8b4baf852a5eda3232b3e9,

title = "Application of maximum power point tracking to increase the power production and treatment efficiency of a continuously operated flat-plate microbial fuel cell",

abstract = "A logic-based maximum power point tracking (MPPT) and LabVIEWTM 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 FPM such as organic concentration, flow rate and sampling interval, and produce a maximum power density of 88.0 Wm-3. The results could 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.",

keywords = "anodes, bacteria, bioelectrochemical systems, microbial fuel cells, process optimization",

author = "Song, {Young Eun} and Hitesh Boghani and Kim, {Hong Suck} and Kim, {Byung Goon} and Taeho Lee and Byong-Hun Jeon and Giuliano Premier and Kim, {Jung Rae}",

note = "This study was supported by the Mid-Career Researcher Program (2013069183) through the National Research Foundation of Korea (NRF), and the MFC Research and Business Development center (R&BD) co-funded with K-water, Hanhwa E&C and Taeyoung E&C, and was also supported by the NERC RRfW MeteoRR project, UK (NE/L0 14106/1).",

year = "2016",

month = aug,

day = "4",

doi = "10.1002/ente.201600191",

language = "English",

journal = "Energy Technology",

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T1 - Application of maximum power point tracking to increase the power production and treatment efficiency of a continuously operated flat-plate microbial fuel cell

AU - Song, Young Eun

AU - Boghani, Hitesh

AU - Kim, Hong Suck

AU - Kim, Byung Goon

AU - Lee, Taeho

AU - Jeon, Byong-Hun

AU - Premier, Giuliano

AU - Kim, Jung Rae

N1 - This study was supported by the Mid-Career Researcher Program (2013069183) through the National Research Foundation of Korea (NRF), and the MFC Research and Business Development center (R&BD) co-funded with K-water, Hanhwa E&C and Taeyoung E&C, and was also supported by the NERC RRfW MeteoRR project, UK (NE/L0 14106/1).

PY - 2016/8/4

Y1 - 2016/8/4

N2 - A logic-based maximum power point tracking (MPPT) and LabVIEWTM 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 FPM such as organic concentration, flow rate and sampling interval, and produce a maximum power density of 88.0 Wm-3. The results could 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.

AB - A logic-based maximum power point tracking (MPPT) and LabVIEWTM 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 FPM such as organic concentration, flow rate and sampling interval, and produce a maximum power density of 88.0 Wm-3. The results could 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.

KW - anodes

KW - bacteria

KW - bioelectrochemical systems

KW - microbial fuel cells

KW - process optimization

U2 - 10.1002/ente.201600191

DO - 10.1002/ente.201600191

M3 - Article

SN - 2194-4296

JO - Energy Technology

JF - Energy Technology

ER -

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

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