Barneto Agustín García, Carmona José Ariza, Alfonso José E Martín, Alcaide Luís Jiménez
Chemical Engineering Department, Campus El Carmen, University of Huelva, Huelva, Spain.
Bioresour Technol. 2009 Sep;100(17):3963-73. doi: 10.1016/j.biortech.2009.03.048. Epub 2009 Apr 14.
Non-isothermal thermogravimetric analysis (TGA) data of biomasses and pulps originating from non-wood and alternatives materials (i.e., Tagasaste or rice straw) have been fitted with refined models, which include autocatalytic kinetics. Data sets were obtained for different experimental conditions, such as variations of heating rate and atmosphere, i.e., inert (pyrolysis) versus oxidative atmosphere (combustion). Besides the access to classical kinetic parameters (pre-exponential factor, activation energy, and reaction order), the improved data analysis enabled the determination of the chemical composition of the samples (cellulose, hemicellulose, extractives, lignin). The latter compared very well with those obtained by conventional methods (chemical analysis, HPLC). Given the reduced environmental impact and rapidness of the method, potential applications for research related to new biomasses and industrial processes can be foreseen. The herein implemented method is based on the assumption that samples contain pseudo-components, which independently degrade, and that combustion is the combination of an initial volatilization process (similar to pyrolysis) and a subsequent char oxidation process. Further, it was found that for a reliable modeling of the volatilization stage, extractives should be considered as well, together with the classical pseudo-components: hemicellulose, cellulose and lignin. The char oxidation stage has been simulated as a sum of the oxidation of three char types, one for each main pseudo-component. Importantly, fitting of TGA curves under consideration of autocatalytic kinetics allows the determination of a consistent set of kinetic parameters at different heating rates and leads to significant suppression of the compensation effect. While autocatalysis (characterized by the nucleation order) is not very significant for pyrolysis of biomasses, it can reach high levels for combustion, especially when high heating rates are used. In cellulosic char oxidation a nucleation order larger than one was fitted. The autocatalysis level of the char oxidation can rapidly increase with small modifications of the heating rate (i.e. to pass from 5 to 10 degrees C/min). In this case, the classically applied nth-order kinetic is particularly insufficient to fit experimental data with the same set of the kinetic parameters.
源自非木材及替代材料(如银合欢或稻草)的生物质和纸浆的非等温热重分析(TGA)数据已采用包含自催化动力学的改进模型进行拟合。针对不同的实验条件获取了数据集,例如加热速率和气氛的变化,即惰性(热解)与氧化气氛(燃烧)。除了能够获取经典动力学参数(指前因子、活化能和反应级数)外,改进的数据分析还能确定样品的化学成分(纤维素、半纤维素、提取物、木质素)。后者与通过传统方法(化学分析、高效液相色谱法)获得的结果非常吻合。鉴于该方法对环境影响较小且速度快,可预见其在与新型生物质和工业过程相关研究中的潜在应用。本文所采用的方法基于这样的假设:样品包含独立降解的假组分,并且燃烧是初始挥发过程(类似于热解)和随后的焦炭氧化过程的组合。此外,研究发现,为了可靠地模拟挥发阶段,除了经典的假组分半纤维素、纤维素和木质素外,还应考虑提取物。焦炭氧化阶段已被模拟为三种焦炭类型氧化的总和,每种主要假组分对应一种。重要的是,考虑自催化动力学对TGA曲线进行拟合,可以在不同加热速率下确定一组一致的动力学参数,并显著抑制补偿效应。虽然自催化(以成核级数表征)对生物质热解的影响不太显著,但对于燃烧来说,它可能达到很高的水平,尤其是在使用高加热速率时。在纤维素焦炭氧化中,拟合得到的成核级数大于1。焦炭氧化的自催化水平会随着加热速率的微小变化(即从5℃/min升至10℃/min)而迅速增加。在这种情况下,经典应用的n级动力学尤其不足以用同一组动力学参数拟合实验数据。