Modelling the energy harvesting from ceramic-based microbial fuel cells by using a fuzzy logic approach.

Alberto de Ramón-Fernández, M J Salar-García, Daniel Ruiz-Fernández, J Greenman, I Ieropoulos

Abstract read

In one paragraph

Article in Applied energy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

A robust correlation based on dimensional analysis to characterize microbial fuel cells.Scientific reports · 2020
Article
Biosurfactants and Synthetic Surfactants in Bioelectrochemical Systems: A Mini-Review.Frontiers in microbiology · 2020
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alberto de Ramón-FernándezDepartment of Computer Technology, University of Alicante, Alicante 03690, Spain.

M J Salar-GarcíaBristol BioEnergy Centre, Bristol Robotic Laboratory, Block T, UWE, Bristol, Coldharbour Lane, Bristol BS16 1QY, UK.

Daniel Ruiz-FernándezDepartment of Computer Technology, University of Alicante, Alicante 03690, Spain.

J GreenmanBristol BioEnergy Centre, Bristol Robotic Laboratory, Block T, UWE, Bristol, Coldharbour Lane, Bristol BS16 1QY, UK.

I IeropoulosBristol BioEnergy Centre, Bristol Robotic Laboratory, Block T, UWE, Bristol, Coldharbour Lane, Bristol BS16 1QY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial fuel cells (MFCs) is a promising technology that is able to simultaneously produce bioenergy and treat wastewater. Their potential large-scale application is still limited by the need of optimising their power density. The aim of this study is to simulate the absolute power output by ceramic-based MFCs fed with human urine by using a fuzzy inference system in order to maximise the energy harvesting. For this purpose, membrane thickness, anode area and external resistance, were varied by running a 27-parameter combination in triplicate with a total number of 81 assays performed. Performance indices such as R

Indexed as

BioenergyCeramic membranesFuzzy inference systemMicrobial fuel cellsModelling

Identifiers

PMID31787800

DOI10.1016/j.apenergy.2019.113321

PMCPMC6880661

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.