微生物燃料电池
废水
污水处理
环境科学
化学需氧量
电
比例(比率)
工艺工程
生化工程
废物管理
环境工程
发电
工程类
功率(物理)
物理
量子力学
电气工程
作者
Hannah Bird,Elizabeth S. Heidrich,Daniel David Leicester,Pavlina Theodosiou
标识
DOI:10.1016/j.jclepro.2022.131227
摘要
Microbial Fuel Cells (MFCs) directly convert wastewater into electricity, reducing its chemical oxygen demand (COD), thus concomitantly treating it. Increasing global demands for clean water and energy has driven research interest in MFCs over the last 25 years, transitioning from a laboratory innovation into pilot-scale demonstrations, and even some commercial units. However, the technology still lacks the proper framework for design that existing treatment processes have. To address this gap, this paper systematically analyses pilot-scale MFC data, showing that despite large variation in environments/climates, operational parameters, wastewater types, architecture, and performance in terms of current production, strong correlations exist between both the amount and the rate of wastewater treatment. Using these correlations, a framework was developed for designing MFCs to give reactor size and hydraulic retention time for treating any given wastewater at any scale. In this meta-analysis, vastly different studies have been compared standardising the data presented and using this to draw generalisations about MFC design and performance. Improved consistent reporting could further strengthen this framework, making data more accessible and ultimately aid future research and commercialisation of MFCs as a wastewater treatment technology.
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