title: Uncertainty estimation by Bayesian approach in thermochemical conversion of walnut hull and lignite coal blends.
abstract: The main purpose of the present study was to incorporate the uncertainties in the thermal behavior of walnut hull (WH), lignite coal, and their various blends using Bayesian approach. First of all, thermal behavior of related materials were investigated under different temperatures, blend ratios, and heating rates. Results of ultimate and proximate analyses showed the main steps of oxidation mechanism of (co-)combustion process. Thermal degradation started with the (hemi-)cellulosic compounds and finished with lignin. Finally, a partial sensitivity analysis based on Bayesian approach (Markov Chain Monte Carlo simulations) were applied to data driven regression model (the best fit). The main purpose of uncertainty analysis was to point out the importance of operating conditions (explanatory variables). The other important aspect of the present work was the first performance evaluation study on various uncertainty estimation techniques in (co-)combustion literature.
authors.affiliation: Abant Izzet Baysal University, Environmental Engineering Department, 14052 Bolu, Turkey. Electronic address: musabuyukada@hotmail.com.
authors.forename: Musa
authors.initials: M
authors.lastname: Buyukada
mesh_terms: D001499:Bayes Theorem; D003031:Coal / Q000032:analysis*; D003198:Computer Simulation; D031324:Juglans / Q000737:chemistry*; D008390:Markov Chains; D008962:Models, Theoretical; D009010:Monte Carlo Method; D017711:Nonlinear Dynamics; D012044:Regression Analysis; D013696:Temperature; D035501:Uncertainty
chemical_list: D003031:Coal
keywords: Bayesian approach; Co-combustion; Monte Carlo simulation; Non-linear regression; Uncertainty analysis; Walnut hull