A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects

Simple item page
dc.contributor.authorLuo, Shuaien
dc.contributor.authorSun, Hongyueen
dc.contributor.authorPing, Qingyunen
dc.contributor.authorJin, Ranen
dc.contributor.authorHe, Zhenen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2017-09-20T18:24:53Zen
dc.date.available2017-09-20T18:24:53Zen
dc.date.issued2016-02-18en
dc.date.updated2017-09-20T18:24:53Zen
dc.description.abstractBioelectrochemical systems (BES) are promising technologies to convert organic compounds in wastewater to electrical energy through a series of complex physical-chemical, biological and electrochemical processes. Representative BES such as microbial fuel cells (MFCs) have been studied and advanced for energy recovery. Substantial experimental and modeling efforts have been made for investigating the processes involved in electricity generation toward the improvement of the BES performance for practical applications. However, there are many parameters that will potentially affect these processes, thereby making the optimization of system performance hard to be achieved. Mathematical models, including engineering models and statistical models, are powerful tools to help understand the interactions among the parameters in BES and perform optimization of BES configuration/operation. This review paper aims to introduce and discuss the recent developments of BES modeling from engineering and statistical aspects, including analysis on the model structure, description of application cases and sensitivity analysis of various parameters. It is expected to serves as a compass for integrating the engineering and statistical modeling strategies to improve model accuracy for BES development.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLuo, S.; Sun, H.; Ping, Q.; Jin, R.; He, Z. A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects. Energies 2016, 9, 111.en
dc.identifier.doihttps://doi.org/10.3390/en9020111en
dc.identifier.urihttp://hdl.handle.net/10919/79268en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectbioelectrochemical systemsen
dc.subjectdata miningen
dc.subjectdifferential equationsen
dc.subjectengineering modelsen
dc.subjectregressionen
dc.subjectstatistical modelsen
dc.titleA Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspectsen
dc.title.serialEnergiesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
energies-09-00111.pdf
Size:
3.12 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Journal Articles, Multidisciplinary Digital Publishing Institute (MDPI)
Scholarly Works, Civil and Environmental Engineering
Scholarly Works, Industrial and Systems Engineering