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Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033232/ https://www.ncbi.nlm.nih.gov/pubmed/35480179 http://dx.doi.org/10.1039/d1ra01981c |
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author | Lv, Tong Fang, Mengxiang Li, Huaixiang Yan, Jiqing Cen, Jianmeng Xia, Zhixiang Tian, Jianglei Wang, Qinhui |
author_facet | Lv, Tong Fang, Mengxiang Li, Huaixiang Yan, Jiqing Cen, Jianmeng Xia, Zhixiang Tian, Jianglei Wang, Qinhui |
author_sort | Lv, Tong |
collection | PubMed |
description | 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 (Δf(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: [Image: see text] , 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 CH(4), CO, and CO(2) 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. |
format | Online Article Text |
id | pubmed-9033232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-90332322022-04-26 Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model Lv, Tong Fang, Mengxiang Li, Huaixiang Yan, Jiqing Cen, Jianmeng Xia, Zhixiang Tian, Jianglei Wang, Qinhui RSC Adv Chemistry 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 (Δf(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: [Image: see text] , 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 CH(4), CO, and CO(2) 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. The Royal Society of Chemistry 2021-05-18 /pmc/articles/PMC9033232/ /pubmed/35480179 http://dx.doi.org/10.1039/d1ra01981c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Chemistry Lv, Tong Fang, Mengxiang Li, Huaixiang Yan, Jiqing Cen, Jianmeng Xia, Zhixiang Tian, Jianglei Wang, Qinhui Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model |
title | Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model |
title_full | Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model |
title_fullStr | Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model |
title_full_unstemmed | Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model |
title_short | Pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model |
title_sort | pyrolysis of a typical low-rank coal: application and modification of the chemical percolation devolatilization model |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033232/ https://www.ncbi.nlm.nih.gov/pubmed/35480179 http://dx.doi.org/10.1039/d1ra01981c |
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