School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, PR China.
Bioresour Technol. 2011 Feb;102(3):3642-4. doi: 10.1016/j.biortech.2010.11.073. Epub 2010 Nov 21.
The pyrolysis behavior of cellulose has been investigated by using thermogravimetric analysis (TGA). The non-isothermal TGA data obtained at different heating rates have been analyzed simultaneously. Pattern Search Method has been proposed for the estimation of the model parameter values. Predicted values from the logistic distributed activation energy model have been compared with the experimental data and the results have indicated that the model describes the kinetic behavior of cellulose pyrolysis very well. The mean value and standard deviation of the logistic activation energy distribution for cellulose pyrolysis are found to be 258.5718 kJ mol(-1) and 2.6601 kJ mol(-1), the reaction order is 1.1101 and the k(0) is 1.6218×10(17) s(-1).
采用热重分析（TGA）研究了纤维素的热解行为。对不同升温速率下获得的非等温热重数据进行了同步分析。提出了模式搜索法来估算模型参数值。将逻辑分布活化能模型的预测值与实验数据进行了比较，结果表明该模型很好地描述了纤维素热解的动力学行为。纤维素热解的逻辑活化能分布的平均值和标准偏差分别为 258.5718 kJ/mol 和 2.6601 kJ/mol，反应级数为 1.1101，k(0)为 1.6218×10(17) s(-1)。
