化工学报 ›› 2022, Vol. 73 ›› Issue (11): 5240-5250.DOI: 10.11949/0438-1157.20220906

• 生物质与有机固废热化学转化专栏 • 上一篇    下一篇

无机元素对生物质焦炭-CO2气化反应性的催化/抑制作用研究及模型构建

宋谦石1(), 王潇伟1,3, 张威1,4, 汪小憨1(), 李浩文1, 乔瑜2   

  1. 1.中国科学院广州能源研究所,广东 广州 510640
    2.华中科技大学煤燃烧国家重点实验室,湖北 武汉 430074
    3.广东海洋大学机械与动力工程学院,广东 湛江 524088
    4.中国科学技术大学能源科学与技术学院,安徽 合肥 230026
  • 收稿日期:2022-06-28 修回日期:2022-09-26 出版日期:2022-11-05 发布日期:2022-12-06
  • 通讯作者: 汪小憨
  • 作者简介:宋谦石(1994—),男,博士,助理研究员,songqs@ms.giec.ac.cn
  • 基金资助:
    国家自然科学基金项目(52206285)

Catalytic/inhibitory effects of inorganic elements on biomass char-CO2 gasification reactivity and model construction

Qianshi SONG1(), Xiaowei WANG1,3, Wei ZHANG1,4, Xiaohan WANG1(), Haowen LI1, Yu QIAO2   

  1. 1.Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, Guangdong, China
    2.State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
    3.School of Mechanical and Power Engineering, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China
    4.School of Energy Science and Engineering, University of Science and Technology of China, Hefei 230026, Anhui, China
  • Received:2022-06-28 Revised:2022-09-26 Online:2022-11-05 Published:2022-12-06
  • Contact: Xiaohan WANG

摘要:

基于简单碰撞理论,建立了含有无机元素影响的焦炭气化反应动力学模型。建模过程中,考虑了七种无机元素含量、催化/抑制能力以及单一无机元素饱和催化倍率对焦炭反应性的影响。实验部分,选取四种生物质样品置于微型流化床反应器中测试了焦炭反应性,并与模型计算值进行了对比,结果表明模型能够较好预测焦炭反应性,同时表现出对不同样品的适应性。该模型能够通过输入样品特性参数和反应工况条件实现焦炭反应性的定量预测。该模型的建立表明固体燃料通用气化反应的规律是存在的,可以为进一步阐明气化反应规律提供理论参考。

关键词: 生物质, 气化, 动力学模型, 无机元素, 流化床, 二氧化碳

Abstract:

Based on the simple collision theory, a kinetic model of char gasification reaction with the influence of inorganic elements was established. In the modeling process, the effects of the content of seven inorganic elements, the catalytic/inhibitory factor, and the fully catalytic ratio of single inorganic element on the char-CO2 reactivity were considered. In the experimental part, four biomass samples were selected and placed in a micro-fluidized bed reactor to test the char-CO2 reactivity, and compared with the model calculated values. The results show that the model can accurately predict the char-CO2 reactivity, and also shows adaptability to different samples. The model can achieve quantitative prediction of char-CO2 reactivity by inputting sample characteristic parameters and reaction conditions. The establishment of this model shows that the general law of biomass thermal conversion process exists, which can provide a theoretical reference for further clarifying the gasification reaction law.

Key words: biomass, gasification, kinetic modeling, inorganic matter, fluidized-bed, carbon dioxide

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