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A comprehensive review on lignin pyrolysis: Mechanism, modeling and the effects of inherent metals in biomass

期刊

FUEL
卷 309, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2021.122102

关键词

Lignin; Pyrolysis mechanism; Inherent metals; Model compounds; Molecular simulation

资金

  1. National Natural Science Foundation of China [52006060]
  2. Fundamental Research Funds for the Central Universities
  3. Science-Technology Innovation Platform and Talents Program of Hunan Province, China [2016TP1027]

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This paper comprehensively reviews the pyrolysis of lignin, including mechanism, modeling, and the effects of inorganic species. It discusses the pyrolysis characteristics, depolymerization mechanism, and different types of models used, as well as the influences of alkali metals, alkaline earth metals, and transition metals on lignin pyrolysis. Challenges and prospects are also discussed in the last section of the article.
This work comprehensively reviews the pyrolysis of lignin from the aspects of mechanism, modeling, and effects of inorganic species. Initially, the lignin general pyrolysis characteristics are described in detail. The effect of lignin isolation methods on pyrolysis characteristics and product distribution, together with the interactions between the lignin and holocellulose are considered. Then, the depolymerization mechanism of lignin, i.e. homolytic reaction and concerted decomposition, as well as the conversion mechanism of propionic acid side-chain and oxygen-containing functional groups in monomers, aree discussed. Moreover, three main types of zerodimension models of lignin pyrolysis, viz. lumped kinetic models, network models, and mechanistic models are reviewed with the special attention paid to the structure representation and reaction network. Influences of alkali metals, alkaline earth metals, and transition metals on the lignin pyrolysis are concluded from four aspects, including metal-catalyzed lignin pyrolysis experiments, metal minerals migration and transformation, quantum chemical simulation calculations, and the modeling. Finally, challenges and prospects are discussed in the last section of this article.

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