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    Implementation of Upscaled Microbial Fuel Cells for Optimized Net Energy Benefit in Wastewater Treatment Systems

    Source: Journal of Environmental Engineering:;2019:;Volume ( 145 ):;issue: 005
    Author:
    Aaron Leininger
    ,
    Wing-Mei Ko
    ,
    Mark Ramirez
    ,
    Birthe V. Kjellerup
    DOI: 10.1061/(ASCE)EE.1943-7870.0001531
    Publisher: American Society of Civil Engineers
    Abstract: Microbial fuel cells are bioelectrochemical devices that use exoelectrogenic biofilms to convert organic matter into electric energy. Recent research of microbial fuel cells has occurred because of their potential to perform energy net-positive degradation and transformation of wastewater constituents. However, most studies have focused on small-scale (<1  L) batch systems with simple and homogenous feedstocks such as acetate. These studies are useful for identification of isolated variables in a controlled environment, but the system architectures are not scaleable to wastewater treatment applications and the feedstocks do not reflect the heterogeneity of real domestic wastewater. The emerging research evaluating scaled-up microbial fuel cells operating with domestic wastewater substrate has described new and different biofilm characteristics and associated transformations other than those seen in bench studies. Scale-up of wastewater microbial fuel cells presents challenges including feedstock variability, changing environmental conditions, and biofouling. To advise the design of pilot-scale systems, this review discusses process stream selection and system architecture with the aim to maximize net energy benefit, defined as the sum of treatment energy savings and direct energy recovery.
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      Implementation of Upscaled Microbial Fuel Cells for Optimized Net Energy Benefit in Wastewater Treatment Systems

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4259823
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    • Journal of Environmental Engineering

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    contributor authorAaron Leininger
    contributor authorWing-Mei Ko
    contributor authorMark Ramirez
    contributor authorBirthe V. Kjellerup
    date accessioned2019-09-18T10:39:03Z
    date available2019-09-18T10:39:03Z
    date issued2019
    identifier other%28ASCE%29EE.1943-7870.0001531.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259823
    description abstractMicrobial fuel cells are bioelectrochemical devices that use exoelectrogenic biofilms to convert organic matter into electric energy. Recent research of microbial fuel cells has occurred because of their potential to perform energy net-positive degradation and transformation of wastewater constituents. However, most studies have focused on small-scale (<1  L) batch systems with simple and homogenous feedstocks such as acetate. These studies are useful for identification of isolated variables in a controlled environment, but the system architectures are not scaleable to wastewater treatment applications and the feedstocks do not reflect the heterogeneity of real domestic wastewater. The emerging research evaluating scaled-up microbial fuel cells operating with domestic wastewater substrate has described new and different biofilm characteristics and associated transformations other than those seen in bench studies. Scale-up of wastewater microbial fuel cells presents challenges including feedstock variability, changing environmental conditions, and biofouling. To advise the design of pilot-scale systems, this review discusses process stream selection and system architecture with the aim to maximize net energy benefit, defined as the sum of treatment energy savings and direct energy recovery.
    publisherAmerican Society of Civil Engineers
    titleImplementation of Upscaled Microbial Fuel Cells for Optimized Net Energy Benefit in Wastewater Treatment Systems
    typeJournal Paper
    journal volume145
    journal issue5
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0001531
    page04019020
    treeJournal of Environmental Engineering:;2019:;Volume ( 145 ):;issue: 005
    contenttypeFulltext
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