re2-4b-15

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編號 716 論文編號 RE2-4B-15 子題 Resource and Energy : RE2 非傳統能源與新能源研究 Non-Conventional Energy and New Energy Research 作者 陳建易 [National Chung Cheng University] (通訊作者) 中文題目 沉积物配备空气阴极系统使用发光菌藻微生物燃料电池发电 英文題目 Electricity generation with sediment microbial fuel cell equipped with air-cathode system using Photobacterium sp 投稿類型 口頭報告 摘要 A sediment microbial fuel cell with air-cathode system has been studied for a prolong period of time. Current maintain a steady increase throughout the entire time period and reached to its highest of 1.82 μA at day 35. Electron transfer pathway was understood by cyclic voltammetry study. Low current density observes due to profound internal resistance (141Ω) and reason for high internal resistance is ohmic losses. Although, there’s linear relationship has observed between current density and power density. Water parameter like salinity and pH has observed throughout the entire time period. Phylogenetic analysis has done with 16S rRNA to identify studied organism. 關鍵字 Sediment microbial fuel cell, Cyclic voltammetry, Internal resistance, Proteobacteria

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  • 716

    RE2-4B-15

    Resource and Energy : RE2

    Non-Conventional Energy and New Energy Research

    [National Chung Cheng University] ()

    Electricity generation with sediment microbial fuel cell equipped with

    air-cathode system using Photobacterium sp

    A sediment microbial fuel cell with air-cathode system has been studied for a

    prolong period of time. Current maintain a steady increase throughout the

    entire time period and reached to its highest of 1.82 A at day 35. Electron

    transfer pathway was understood by cyclic voltammetry study. Low current

    density observes due to profound internal resistance (141) and reason for

    high internal resistance is ohmic losses. Although, theres linear relationship

    has observed between current density and power density. Water parameter

    like salinity and pH has observed throughout the entire time period.

    Phylogenetic analysis has done with 16S rRNA to identify studied organism.

    Sediment microbial fuel cell, Cyclic voltammetry, Internal resistance,

    Proteobacteria