Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model. Issue 29 (18th May 2021)

• Record Type: Journal Article
• Authors: Lv, Tong; Fang, Mengxiang; Li, Huaixiang; Yan, Jiqing; Cen, Jianmeng; Xia, Zhixiang; Tian, Jianglei; Wang, Qinhui
• Is Part Of: RSC advances. Volume 11:Issue 29(2021)
• Page Start: 17993
• Page End: 18002
• Publication Date: 2021-05-18
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d1ra01981c
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : The modified CPD model with tar consumption and a gas correlation expression improved the prediction accuracy of coal pyrolysis products and provides a reference for their application over a wider range of conditions. Abstract : The chemical percolation devolatilization (CPD) model can simulate the formation of various products during the coal pyrolysis process and predict the products composition relatively accurately. In this study, the pyrolysis products of a typical low-rank coal were calculated using the CPD model, and several model improvements were proposed by combining the experimental results in a lab-scale pyrolysis system. The chemical structural parameters calculated from the Genetti correlations were verified by adjusting the initial fraction of char bridges ( c 0 ) from 0.098 to 0.25. A yield difference (Δ f tar ) was defined in this paper to analyze the consumption of tar fragments in the model, and it was found that the deviations between experiments and calculations resulted from the weak influence of crosslinking. A modification expression was adopted to amplify the tar consumption:, which improved the accuracy of the model on the tar yield with errors of less than ±0.5 wt%. Furthermore, this paper also developed a correlation in an exponential form about gas composition, which attempted to extend the application of the CPD coalification reference mesh for the coal away from interpolation triangles. The improved model by the correlation predicted CH4, CO, and CO2 yields for this typical low-rank coal accurately in most cases. Compared with the original CPD model, the modified model showed better agreement with the experimental results and predicted 71.4% and 88.6% of the data points in this work within ±10% and ±20% errors, respectively.