2018
DOI: 10.1016/j.ijhydene.2018.07.056
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Improved process understanding and optimization by multivariate statistical analysis of Microbial Fuel Cells operation

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Cited by 16 publications
(7 citation statements)
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“…Among other technologies, based on efficiency and sustainability considerations, bioelectrochemical systems (BES) have attracted in the last decade significant attention not only for civil [4, 5] and industrial wastewater treatment [6, 7] but also for groundwater remediation applications [8, 9].…”
Section: Introductionmentioning
confidence: 99%
“…Among other technologies, based on efficiency and sustainability considerations, bioelectrochemical systems (BES) have attracted in the last decade significant attention not only for civil [4, 5] and industrial wastewater treatment [6, 7] but also for groundwater remediation applications [8, 9].…”
Section: Introductionmentioning
confidence: 99%
“…Based on eigenvalue (>1), two components were formed since eigenvalue distinguishes clusters of variances [32]. The first component consisted of three samples with spent coffee and the second component was only the control sample without spent coffee.…”
Section: Initial Ratementioning
confidence: 99%
“…In addition, MEC and MDC processes have been successfully modeled (Ping et al, 2014;Pinto et al, 2011) and latter models evaluated integration of BESs with membrane bioreactors and algal photobioreactors (Li and He, 2016;Luo et al, 2017). Statistical methods have also been applied to BES technology to improve knowledge on the operation (Cecconet et al, 2018a;Luo et al, 2016).…”
Section: Need For Additional Modeling Effortsmentioning
confidence: 99%