Prediction of low-rank coal pyrolysis behavior by chemical percolation devolatilization model

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• 作者：Guangrui Liu ; Huijuan Song and Jinhu Wu
• 刊名：Environmental Progress & Sustainable Energy
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：35
• 期：4
• 页码：1215-1220
• 全文大小：313K
• ISSN：1944-7450

文摘

The chemical percolation devolatilization (CPD) model was proposed to predict the pyrolysis behavior of fast-heated coal based on the chemical structure of low-rank coal sample. The coal-dependent chemical structure parameters were taken directly from solid state ¹³C nuclear magnetic resonance (NMR) analysis, with the exception of one empirical coefficient initial fraction of char bridges (c₀). The Fourier transform infrared spectroscopic analysis was also employed to describe the pyrolysis characteristics of parent coal. The predictions of amount and characteristics of volatiles, tar and char from CPD model indicated that the crosslinking mechanism plays an important role for the pyrolysis of low-rank coal. In order to deeply understand the structure and chemical bonds of coal sample, the average chemical structure of low-rank coal was built by ACD/Labs software of ChemSketch. The ¹³C NMR spectrum of established average coal structure fitted well with that of parent coal sample.