Co-combustion of sewage sludge and coffee grounds under increased O-2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modeling

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dc.authorid0000-0003-1099-4363en_US
dc.authorid0000-0001-6841-6457en_US
dc.authorid0000-0003-1099-4363en_US
dc.authorid0000-0002-8148-5163en_US
dc.contributor.authorChen, Jiacong
dc.contributor.authorXie, Candie
dc.contributor.authorLiu, Jingyong
dc.contributor.authorHe, Yao
dc.contributor.authorXie, Wuming
dc.contributor.authorZhang, Xiaochun
dc.contributor.authorChang, Kenlin
dc.contributor.authorBüyükada, Musa
dc.contributor.authorEvrendilek, Fatih
dc.date.accessioned2021-06-23T19:49:57Z
dc.date.available2021-06-23T19:49:57Z
dc.date.issued2018
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstract(Co-)combustion characteristics of sewage sludge (SS), coffee grounds (CG) and their blends were quantified under increased O-2/CO2 atmosphere (21, 30, 40 and 60%) using a thermogravimetric analysis. Observed percentages of CG mass loss and its maximum were higher than those of SS. Under the same atmospheric O-2 concentration, both higher ignition and lower burnout temperatures occurred with the increased CG content. Results showed that ignition temperature and comprehensive combustion index for the blend of 60% SS-40% CG increased, whereas burnout temperature and co-combustion time decreased with the increased O-2 concentration. Artificial neural network was applied to predict mass loss percent as a function of gas mixing ratio, heating rate, and temperature, with a good agreement between the experimental and ANN-predicted values. Activation energy in response to the increased O-2 concentration was found to increase from 218.91 to 347.32 kJ.mol(-1) and from 218.34 to 340.08 kJ.mol(-1) according to the Kissinger-Akahira-Sunose and Flynn-Wall-Ozawa methods, respectively.en_US
dc.identifier.doi10.1016/j.biortech.2017.11.031
dc.identifier.endpage238en_US
dc.identifier.issn0960-8524
dc.identifier.issn1873-2976
dc.identifier.pmid29174900en_US
dc.identifier.scopus2-s2.0-85034660691en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage230en_US
dc.identifier.urihttps://doi.org/10.1016/j.biortech.2017.11.031
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9663
dc.identifier.volume250en_US
dc.identifier.wosWOS:000430740000030en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBüyükada, Musa
dc.institutionauthorEvrendilek, Fatih
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofBioresource Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMixed O-2/CO2 Atmosphereen_US
dc.subjectThermogravimetric Analysisen_US
dc.subjectEmpirical Modelingen_US
dc.subjectKineticsen_US
dc.titleCo-combustion of sewage sludge and coffee grounds under increased O-2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modelingen_US
dc.typeArticleen_US

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