Decomposition of pollutants from domestic sewage with the combination systems of hydrolytic acidification coupling with constructed wetland microbial fuel cell

Han, Jin‐Hee; Yang, Zhinian; Wang, Hao; Zhong, Huiyuan; Xu, Duo; Yu, Shuang; Gao, Lei

doi:10.1016/j.jclepro.2021.128650

Cited by 23 publications

(4 citation statements)

References 51 publications

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“…In addition, the CW-MFC was used in conjunction with hydrolytic sludge acidification for domestic wastewater treatment and power generation. A maximum power output of 430 mW/m 2 was achieved (Han et al 2021).…”

Section: Electrochemical Propertiesmentioning

confidence: 97%

The new report of domestic wastewater treatment and bioelectricity generation using Dieffenbachia seguine constructed wetland coupling microbial fuel cell (CW-MFC)

2023

Archives of Environmental Protection

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The constructed wetland integrated with microbial fuel cell (CW-MFC) has gained attention in wastewater treatment and electricity generation owing to its electricity generation and xenobiotic removal efficiencies. This study aims to use the CW-MFC with different macrophytes for domestic wastewater treatment and simultaneously electricity generation without chemical addition. The various macrophytes such as Crinum asiaticum, Canna indica, Hanguana malayana, Philodendron erubescens, and Dieffenbachia seguine were used as a cathodic biocatalyst. The electrochemical properties such as half-cell potential and power density were determined. For wastewater treatment, the chemical oxygen demand (COD) and other chemical compositions were measured. The results of electrochemical properties showed that the maximal half-cell potential was achieved from the macrophyte D. seguine. While the maximal power output of 5.42±0.17 mW/m 2 (7.75±0.24 mW/m 3 ) was gained from the CW-MFC with D. seguine cathode. Moreover, this CW-MFC was able to remove COD, ammonia, nitrate, nitrite, and phosphate of 94.00±0.05%, 64.31±0.20%, 50.02±0.10%, 48.00±0.30%, and 42.05±0.10% respectively. This study gained new knowledge about using CW-MFC planted with the macrophyte D. seguine for domestic wastewater treatment and generation of electrical power as a by-product without xenobiotic discharge.

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Section: Electrochemical Propertiesmentioning

confidence: 97%

The new report of domestic wastewater treatment and bioelectricity generation using Dieffenbachia seguine constructed wetland coupling microbial fuel cell (CW-MFC)

2023

Archives of Environmental Protection

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“…During the day, they rely on solar energy, and during the night, they rely on the microorganisms that continue to decompose the organic compounds in the PMFC system. As well as being useful for generating power, PMFCs can be incorporated into constructed wetlands 14 to remove organic pollutants from soil 15 and wastewater 16 …”

Section: Literature Reviewmentioning

confidence: 99%

“…As well as being useful for generating power, PMFCs can be incorporated into constructed wetlands 14 to remove organic pollutants from soil 15 and wastewater. 16 In winter of 2013, Helder et al 17 installed PMFC devices on roofs in the Netherlands to demonstrate that they can withstand harsh outdoor environments. In 2021, Guan and Yu 9 proposed the installation of PMFC devices on urban roofs.…”

Section: Plant Microbial Fuel Cellsmentioning

confidence: 99%

Metaheuristics‐optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells

Chou

Cheng

Liu

et al. 2022

Intl J of Energy Research

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Plant microbial fuel cells (PMFCs) are an emergent green-energy technology that continuously converts solar energy into electricity. Placing PMFCs on the roofs of urban buildings can help to create green urban environments even as they generate power. The power generation performance of PMFCs is affected by a range of environmental factors, so their power generation capacity is difficult to estimate. To develop an artificial intelligence model to forecast PMFC power generation accurately, relevant results obtained using shallow and deep learning techniques are compared for the first time. Once deep learning techniques had been identified as superior for this purpose, they were used with a bio-inspired optimization algorithm to dynamically setting the model hyperparameters. The developed model can also be applied to estimate the power generation capacity of PMFC devices in the future. The model was trained using data collected from sensors in a site experiment that was carried out using PMFCs embedded with Chinese pennisetumin (Pennisetum alopecuroides), narrowleaf cattail (Typha angustifolia), dwarf rotala (Rotala rotundifolia), and no plant as a control group. The original data of device parameters, environmental parameters, and the measured power generation of PMFCs in numerical form were applied to train shallow learning and time-series deep learning models. Meanwhile, the state-of-the-art sliding window technique was used to establish a numerical matrix, which was converted into a 2D image-like format to represent inputs for deep convolutional neural network (CNN) models. The accuracy in predicting the power generation capacity of PMFC devices showed that EfficientNet, an advanced type of CNN, was the best model among the shallow and deep learning techniques. These analytical results demonstrate the superior performance of deep CNNs in learning image features and their consequent suitability for constructing PMFC power generation forecasting models. To enhance the generalization performance of CNN, a

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“…Compared with wastewater treatment plants, constructed wetlands (CWs) are widely applied in developing countries to deeply purify urban water pollution because of their low construction and operation costs, excellent treatment capacity and high ecological benefits [ 1 , 2 ]. Additionally, in the context of global warming, new requirement has been presented for wastewater treatment, that is, the reduction of greenhouse gas (GHG) emissions [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based prediction of effluent quality of a constructed wetland

Yang

Xiao

Meng³

et al. 2023

Environmental Science and Ecotechnology

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Decomposition of pollutants from domestic sewage with the combination systems of hydrolytic acidification coupling with constructed wetland microbial fuel cell

Cited by 23 publications

References 51 publications

The new report of domestic wastewater treatment and bioelectricity generation using Dieffenbachia seguine constructed wetland coupling microbial fuel cell (CW-MFC)

The new report of domestic wastewater treatment and bioelectricity generation using Dieffenbachia seguine constructed wetland coupling microbial fuel cell (CW-MFC)

Metaheuristics‐optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells

Deep learning-based prediction of effluent quality of a constructed wetland

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