Xie, CandieLiu, JingyongBüyükada, MusaEvrendilek, FatihSamaksaman, UkritÖzyurt, Ömer2021-06-232021-06-2320190956-053Xhttps://doi.org/10.1016/j.wasman.2019.07.010https://hdl.handle.net/20.500.12491/9940This study aimed at quantification of co-combustion behaviors and kinetic parameters of textile dyeing sludge (TDS) and shaddock peel (SP) in response to blend ratio, heating rate, and temperature. The experimental responses of mass loss (ML) and mass loss rate (MLR) measured using a thermogravimetric analyzer were also estimated using the best-fit multiple non-linear regression (MNLR) models. The independent validations of the models led to high coefficients of determination of 99.8% for ML and 83.8% for MLR. Stochastic uncertainty associated with the model predictors was assessed using Monte Carlo simulations. Our results indicated that the overall cumulative uncertainty was greater in the model predictions of MLR than ML. (C) 2019 Elsevier Ltd. All rights reserved.eninfo:eu-repo/semantics/closedAccessCo-CombustionUncertainty AnalysisData-Driven ModelingAlternative BiomassSludgeArticle10.1016/j.wasman.2019.07.01096128135313769562-s2.0-85068897960Q1WOS:000482245200014Q1