Uncertainty estimation by Bayesian approach in thermochemical conversion of walnut hull and lignite coal blends

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Küçük Resim

Tarih

2017

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

Sayı

Künye