基于CPD模型的低阶煤催化解聚过程模拟分析

白佳杰; 梁丽彤; 张忠林; 李鹏; 杨景轩; 郝晓刚; 黄伟; 官国清

doi:10.11949/0438-1157.20190257

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基于CPD模型的低阶煤催化解聚过程模拟分析

催化、动力学与反应器 | 更新时间：2020-06-24

- 基于CPD模型的低阶煤催化解聚过程模拟分析
- Simulation and analysis of catalytic depolymerization of low-rank coal by chemical percolation devolatilization model
- 化工学报 2019年70卷第S2期页码：265-274
- 作者机构：
  
  1.太原理工大学化学化工学院，山西太原 030024
  2.太原理工大学煤科学与技术重点实验室，山西太原 030024
  3.太原科技大学化学与生物工程学院，山西太原 030021
  4.日本弘前大学地域战略研究所，日本青森 030-0813
- 作者简介：
  
  白佳杰（1994—），女，硕士研究生，1163006589@qq.com
  张忠林（1974—），男，博士，副教授，zlzhang@tyut.edu.cn
  李鹏（1980—），男，博士，讲师，lipeng_ty@tyust.edu.cn
- 基金信息：
  
  国家自然科学基金项目(U1710101;21776195;U1610103);中日国际合作项目(2013DFG60060);山西省人才专项项目(201605D211005)
- DOI：10.11949/0438-1157.20190257
  中图分类号： TQ 530.2
- 收稿：2019-03-19，
  
  修回：2019-04-10，
  
  纸质出版：2019-09-05
- 稿件说明：
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白佳杰, 梁丽彤, 张忠林, 李鹏, 杨景轩, 郝晓刚, 黄伟, 官国清. 基于CPD模型的低阶煤催化解聚过程模拟分析[J]. 化工学报, 2019, 70(S2): 265-274

BAI Jiajie, LIANG Litong, ZHANG Zhonglin, LI Peng, YANG Jingxuan, HAO Xiaogang, HUANG Wei, GUAN Guoqing. Simulation and analysis of catalytic depolymerization of low-rank coal by chemical percolation devolatilization model[J]. CIESC Journal, 2019, 70(S2): 265-274
白佳杰, 梁丽彤, 张忠林, 李鹏, 杨景轩, 郝晓刚, 黄伟, 官国清. 基于CPD模型的低阶煤催化解聚过程模拟分析[J]. 化工学报, 2019, 70(S2): 265-274 DOI： 10.11949/0438-1157.20190257.

BAI Jiajie, LIANG Litong, ZHANG Zhonglin, LI Peng, YANG Jingxuan, HAO Xiaogang, HUANG Wei, GUAN Guoqing. Simulation and analysis of catalytic depolymerization of low-rank coal by chemical percolation devolatilization model[J]. CIESC Journal, 2019, 70(S2): 265-274 DOI： 10.11949/0438-1157.20190257.

摘要

低阶煤催化解聚过程定量分析和放大需要合理描述该过程的宏观动力学模型，使用化学渗透脱挥发分（CPD）模型结合陕西长焰煤的催化解聚实验，对低阶煤催化解聚过程进行了定量分析。综合对催化剂作用机理的认识，结合催化解聚实验结果确定相应表观动力学参数，所得模拟结果与实验结果趋势一致、吻合良好，其较好地体现了不同热解过程差异，低温下催化解聚产物释放量较少，温度升高后产物量才会高于原煤热解。模型中催化剂对焦油产率的影响体现在复合速率常数、交联反应活化能上，随两者增大，焦油产率均增加；Fe基催化剂有助于促进侧链断裂，提高气体产率，Zn基催化剂可抑制交联反应，但交联反应活化能较大时，受热解温度限制，焦油量增加变缓。

Abstract

The quantitative analysis and amplification of the catalytic depolymerization process of low rank coal need a macroscopic dynmaic model to describe the process reasonably. In this work

the chemical percolation devolatilization (CPD) model was used to quantitatively analyze the catalytic depolymerization process of low-rank coal

combining with the corresponding catalytic depolymerization experiment which was carried out with Shaanxi long-flame coal. According to the experimental results

the reaction kinetic parameters were obtained based on the mechanism of the catalytic depolymerization. The simulated results showed a good agreement with the experimental data and can better reflect the difference of different stages of pyrolysis process

at lower temperature

the yield of catalytic depolymerization was also lower

and with further increasing the reaction temperature

the yield of products will be sharply increased and higher than that of raw coal pyrolysis. In this model

the effect of the catalyst on the yield of pyrolysis tar was reflected by the composite rate constant and the crosslinking reaction activation energy

and the tar yield increased with the increase of these two parameters. For the Fe-based catalysts

it can promote the cleavage of side chain resulting in the increase of gas yield. As for the Zn-based catalysts

it can inhibit the crosslink reaction. However

when the activation energy of the crosslink reaction was too higher

the increase of the tar yield was increased slowedown due to the restriction of reaction temperature.

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references

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