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Scaling-up of membraneless microbial electrolysis cells (MECs) for domestic wastewater treatment: Bottlenecks and limitations

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Mar 2015Publisher:Elsevier BVJournal:Bioresource Technology, volume 180, pages 72-78 (issn: 0960-8524,

Authors: Antonio Morán; Raúl Mateos; Adrián Escapa; M.I. San-Martín;

doi: 10.1016/j.biortech.2014.12.096

pmid: 25590425

Scaling-up of membraneless microbial electrolysis cells (MECs) for domestic wastewater treatment: Bottlenecks and limitations

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Abstract

Microbial electrolysis cells (MECs) have the potential to become a sustainable domestic wastewater (dWW) treatment system. However, new scale-up experiences are required to gain knowledge of critical issues in MEC designs. In this study we assess the ability of two twin membraneless MEC units (that are part of a modular pilot-scale MEC) to treat dWW. Batch tests yielded COD removal efficiencies as high as 92%, with most of the hydrogen (>80% of the total production) being produced during the first 48h. During the continuous tests, MECs performance deteriorated significantly (energy consumption was relatively high and COD removal efficiencies fell below 10% in many cases), which was attributed to an inadequate configuration of the anodic chamber, insufficient mixing inside this chamber, inefficient hydrogen management on the cathode side and finally to dWW in itself. Some alternatives to the current design are suggested.

Related Organizations

University of Leon
Spain
Natural Resources Institute
United Kingdom
University of Leon
Spain
Universidad de León
Mexico

Keywords

Biological Oxygen Demand Analysis, Bioelectric Energy Sources, Equipment Design, Wastewater, Waste Disposal, Fluid, Electrolysis, Water Purification

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	146
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%