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dc.date.accessioned2023-04-10T12:32:56Z
dc.date.available2023-04-10T12:32:56Z
dc.date.issued2020tr
dc.identifier.urihttps://hdl.handle.net/20.500.12418/13442
dc.description.abstractIn this study, NaOH pretreatment, H2SO4 pretreatment, thermal pretreatment and production temperature were optimized to ensure maximum methane yield from hazelnut shells (HS) using the response surface methodology (RSM). A Box-Behnken design was achieved with four different independent variables and one dependent variable (methane yield). A total of 29 tests were performed after pretreatment according to the RSM design and to different production temperatures, suggesting optimum values for NaOH pretreatment, H2SO4 pretreatment, thermal pretreatment and production temperature were 3.5% w/v, 2.56% v/v, 145.66 °C and 34.65 °C, re spectively. Under these conditions, the RSM-predicted methane yield was 215.896 mL/g volatile solid (VS). The high R2 value (0.9904) showed that the model could be applied effectively in the digestion of HS for the pre dicted methane yield according to the production temperature and pretreatments. In addition, lignocellulosic solubilisation was tested after pretreatment of the reactors according to the RSM operating conditions, which showed that the highest cellulose, hemicellulose and lignin solubilisation that could be achieved was 38.7% w/w (R10), 36.9% w/w (R22) and 50.5% w/w (R10), respectively. The modified Gompertz model supported the ex perimental cumulative methane yields (CMYs).tr
dc.publisherElseviertr
dc.rightsinfo:eu-repo/semantics/openAccesstr
dc.subjectethane Response surface methodology NaOH pretreatment H2SO4 pretreatment Thermal pretreatment Lignocellulosic solubilisationtr
dc.titleOptimization of temperature and pretreatments for methane yield of hazelnut shells using the response surface methodologytr
dc.typearticletr
dc.contributor.departmentMühendislik Fakültesitr
dc.contributor.authorID0000-0003-5429-4468tr
dc.contributor.authorID0000-0003-5429-4468tr
dc.relation.publicationcategoryRaportr


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