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生物质化学工程 ›› 2021, Vol. 55 ›› Issue (5): 30-34.doi: 10.3969/j.issn.1673-5854.2021.05.005

• 研究报告 • 上一篇    下一篇

基于三种算法的瓜子壳热解动力学分析

李若晗1, 姬爱民1,*(), 杜铎2   

  1. 1. 华北理工大学 冶金与能源学院, 河北 唐山 063200
    2. 唐山市环境规划科学研究院, 河北 唐山 063000
  • 收稿日期:2020-08-17 出版日期:2021-09-30 发布日期:2021-09-13
  • 通讯作者: 姬爱民 E-mail:jiam@ncst.edu.cn
  • 作者简介:姬爱民, 副教授, 硕士生导师, 研究领域: 生物质能源; E-mail: jiam@ncst.edu.cn
    李若晗(1996-), 男, 河北邢台人, 硕士生, 主要从事生物质能源研究
  • 基金资助:
    河北省自然科学基金资助项目(E2014209218)

Pyrolysis Kinetic Analysis of Melon Seed Shells Based on Three Algorithms

Ruohan LI1, Aimin JI1,*(), Duo DU2   

  1. 1. School of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063200, China
    2. Tangshan Environmental Planning Science Research Institute, Tangshan 063000, China
  • Received:2020-08-17 Online:2021-09-30 Published:2021-09-13
  • Contact: Aimin JI E-mail:jiam@ncst.edu.cn

摘要:

采用热失重法研究瓜子壳在氮气气氛中的热解过程,结果显示:瓜子壳在50℃/min的升温速率下主要热失重区间为167~427℃,最大失重速率发生在354.42℃,达42.9%/min。将瓜子壳参与反应的物质分为伪纤维素、伪半纤维素和伪木质素,假设瓜子壳在热解过程中由3个独立互不影响的平行反应而成,分别运用遗传算法(GA)、非线性最小二乘法(NLS)、高斯拟合-遗传算法(GGA)建立瓜子壳热解动力学模型,对瓜子外壳在热解过程中的动力学参数求解。结果表明:GGA算法性能最优,模拟DTG曲线与实验数据偏离度最小,仅为1.12%;与GA相比,其迭代次数少且计算稳定;与NLS相比,其计算快、对初始值要求不高。

关键词: 热重实验, 平行反应, 算法, 模型

Abstract:

The pyrolysis process of the melon seed shell in nitrogen atmosphere was used as the research object by the thermal weight loss method. The main components of the shell of melon seeds are: hemicellulose, cellulose, and lignin. It is assumed that the shell of melon seeds is formed by three independent parallel reactions during the thermal decomposition process, respectively, genetic algorithm (GA) and nonlinear least squares method. (NLS), Gaussian fitting-genetic algorithm (GGA), establish the kinetic model of the pyrolysis of the melon seed shell, the kinetic parameters of melon seed shell during thermal decomposition were solved. The results show that the GGA algorithm has the minimum deviation between the simulated data and the experimental data and the best performance. The deviation is only 1.12%.

Key words: thermogravimetric experiment, parallel reactions, algorithm, model

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