4.7 Article

CO2 pyrolysis kinetics and characteristics of lignin-rich hydrolysis residue produced from a tandem process of steam-stripping and acid hydrolysis

期刊

FUEL
卷 316, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2022.123361

关键词

Lignin-rich hydrolysis residue; Thermal decomposition; CO2 atmosphere; Kinetics analysis; Distributed activation energy model

资金

  1. National Key R&D Program of China [2021YFC2103705]
  2. National Natural Science Foundation of China [52006228, 51776205]
  3. China Postdoctoral Science Foundation [2020M682941]
  4. CAS Key Laboratory of Renewable Energy [E029010301, 2020000018]

向作者/读者索取更多资源

This study proposes the high-value utilization of lignin-rich hydrolysis residue (LIHS) through pyrolysis under CO2 atmosphere in order to improve the techno-economic level and reduce carbon dioxide emission. The thermal decomposition characteristics and kinetics of LIHS under CO2 atmosphere were investigated using distributed activation energy models. The results obtained the values of activation energy and pre-exponential factor, and identified a kinetic compensation effect between them. The developed distributed activation energy model with distributed-fitting method shows good ability in predicting the reaction process.
High-value utilization of lignin-rich hydrolysis residue (LIHS) from sustainable aviation fuel pilot system by pyrolysis under CO2 atmosphere was proposed to co-produce the carbon-based products in order to improve the techno-economic level and low carbon dioxide emission. Thermal decomposition characteristics and kinetics of the LIHS under CO2 atmosphere was for the first time investigated by using the distributed activation energy models with distributed-free and distributed-fitting methods. The thermal decomposition process of lignin-rich hydrolysis residue in CO2 atmosphere can be divided into drying, devolatilization, carbonization and carbon-loss stages. A middle difference method with variable step was developed for the approximation of the differ-ential term in the Friedman method. The values of activation energy and pre-exponential factor at selected conversion degrees were obtained. The kinetic compensation effect between activation energy and pre-exponential factor was found. The mean activation energy was estimated based on the Maximum Likelihood Estimation. The effective values of the standard deviation and pre-exponential factor were determined by inverse problem method that combines Gauss-Hermite quadrature numerical method and Pattern Search Method (PSM) optimization algorithm. The results showed that the mean activation energy, the standard deviation and pre-exponential factors for the integral method are 261.26 kJ mol(-1), 28.760 kJ mol(-1) and 1017.658 s(-1), those for differential method are 271.36 kJ mol(-1), 29.910 kJ mol(-1) and 1018.418 s(-1). The unavailability of activation energy distributed function for distributed-free method may lose its prediction ability. Finally, the developed distributed activation energy model with distributed-fitting method not only could obtain the real kinetic pa-rameters of the LIHS pyrolysis process, and have a good ability on predicting the reaction process. This work may provide an alternative technical scheme for the non-thermal valorization of the LIHS, and a comprehensive and systematic kinetic analysis of the thermal decomposition of the LIHS for process design.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据