Response surface optimization, modeling and uncertainty analysis of mass loss response of co-combustion of sewage sludge and water hyacinth

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dc.authorid0000-0001-6841-6457en_US
dc.authorid0000-0003-1099-4363en_US
dc.contributor.authorLiu, Jingyong
dc.contributor.authorHuang, Limao
dc.contributor.authorBüyükada, Musa
dc.contributor.authorEvrendilek, Fatih
dc.date.accessioned2021-06-23T19:45:20Z
dc.date.available2021-06-23T19:45:20Z
dc.date.issued2017
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractThe present study aims at quantifying mass loss percentage (MLP, %) predictions and their stochastic uncertainty when co-combustion of sewage sludge (SS) and water hyacinth (WH) are applied as alternative biomass, materials under different blend ratios (BR), heating rates (HR, degrees C/min) and temperatures (T, degrees C). Optimization and validation of experimental data through Box-Behnken design pointed to 630.9 degrees C for T, 60.1% SS for BR, and 29.9 degrees C/min for HR as the optimal co-combustion parameters to achieve the maximum MLP of 92.4%. Monte Carlo (MC) simulations were used to quantify uncertainty in MLP predictions of the best-fit multiple non-linear regression (MNLR) model derived from the entire experimental data as a function of MC-generated T as the only continuous predictor of the MNLR. Mean MLP value of the MNLR predictions was higher by 19% than that of the MC-simulated T whose mean was higher by only 1% than mean measured T. Incorporating the uncertainty estimation based on Monte Carlo simulations with response surface approach for co-combustion of SS and WH was one of the main novel contributors of the present study to related literature. (C) 2017 Elsevier'Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.applthermaleng.2017.07.008
dc.identifier.endpage335en_US
dc.identifier.issn1359-4311
dc.identifier.scopus2-s2.0-85022224054en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage328en_US
dc.identifier.urihttps://doi.org/10.1016/j.applthermaleng.2017.07.008
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9136
dc.identifier.volume125en_US
dc.identifier.wosWOS:000410011200030en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBüyükada, Musa
dc.institutionauthorEvrendilek, Fatih
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofApplied Thermal Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWater Hyacinthen_US
dc.subjectSewage Sludgeen_US
dc.subjectBox-Behnken Designen_US
dc.subjectData-Driven Modelingen_US
dc.subjectMonte Carlo Simulationen_US
dc.titleResponse surface optimization, modeling and uncertainty analysis of mass loss response of co-combustion of sewage sludge and water hyacinthen_US
dc.typeArticleen_US

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