Uncertainty estimation by Bayesian approach in thermochemical conversion of walnut hull and lignite coal blends
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Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. (C) 2017 Elsevier Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
Walnut Hull, Co-Combustion, Non-Linear Regression, Uncertainty Analysis, Monte Carlo Simulation, Bayesian Approach
Kaynak
Bioresource Technology
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
232