Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25205
Publication type: Master thesis
Title: Integration of a microbial fuel cell into a green wall for greywater treatment
Authors: Bezzola, Gian Artur
Advisors / Reviewers: Junge, Ranka
Nadine, Antenen
DOI: 10.21256/zhaw-25205
Extent: 40
Issue Date: 2022
Publisher / Ed. Institution: ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Publisher / Ed. Institution: Winterthur
Language: English
Subjects: Microbial fuel cell; Electrochemical constructed wetland; Green wall; Synthetic greywater
Subject (DDC): 621.3: Electrical, communications, control engineering
Abstract: The aim of this master thesis was to investigate the influence of different reactor media on the electrical and cleaning performance of an electrochemical green wall (EGW). Another aim was to improve electrical power production and the treatment performance of the system investigated in Bezzola (2021). Therefore, the construction, inoculation and operation of the experimental installation based on the findings from Bezzola (2021). The reactor media studied were Vulkaponic (a plant substrate made of pumice and zeolite with a grain size of 3 -7mm), Seramis (a fine-grained expanded clay), and HDPE biocarriers. The electrodes were constructed from biochar and stainless steel mesh. The system was inoculated over a time of 27 days with digested sludge from a wastewater treatment plant. Four measuring campaigns were conducted, at the beginning of which different quantities of greywater were added. The hydraulic retention time for each measuring campaign was 48 hours. The wall with Vulkaponic reactor medium generally resulted in the highest energy production values. This indicates that the substrate choice is a relevant parameter in EGW design. The electrode spacing is another relevant parameter in EGW design. The improved wall design resulted in increased treatment performance compared to the system investigated in Bezzola (2021). By increasing the hydraulic retention time, there is potential for a further improvement in treatment performance. The averaged maximum power per reactor was 5E-05 W/reactor. However, peak power density per reactor varied and could reach as much as 20E-05 W/reactor. Even for a large-scale green wall this power production is way too small to operate an electrical consumer. However, the power measurements could be used as an important indicator to characterize the state of the system in terms of bacterial activity. It could therefore be used in addition to the water quality parameters to optimally monitor, control and feed the system.
URI: https://digitalcollection.zhaw.ch/handle/11475/25205
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Appears in collections:Masterarbeiten Umwelt und Natürliche Ressourcen

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Bezzola, G. A. (2022). Integration of a microbial fuel cell into a green wall for greywater treatment [Master’s thesis, ZHAW Zürcher Hochschule für Angewandte Wissenschaften]. https://doi.org/10.21256/zhaw-25205
Bezzola, G.A. (2022) Integration of a microbial fuel cell into a green wall for greywater treatment. Master’s thesis. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-25205.
G. A. Bezzola, “Integration of a microbial fuel cell into a green wall for greywater treatment,” Master’s thesis, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, Winterthur, 2022. doi: 10.21256/zhaw-25205.
BEZZOLA, Gian Artur, 2022. Integration of a microbial fuel cell into a green wall for greywater treatment. Master’s thesis. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Bezzola, Gian Artur. 2022. “Integration of a Microbial Fuel Cell into a Green Wall for Greywater Treatment.” Master’s thesis, Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-25205.
Bezzola, Gian Artur. Integration of a Microbial Fuel Cell into a Green Wall for Greywater Treatment. ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2022, https://doi.org/10.21256/zhaw-25205.


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