Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 189 Songling Road, Qingdao 266101, PR China.
Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 189 Songling Road, Qingdao 266101, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
Bioresour Technol. 2016 Jul;211:502-8. doi: 10.1016/j.biortech.2016.03.091. Epub 2016 Mar 23.
The kinetic and energy productions of pyrolysis of a lignocellulosic biomass were investigated using a three-parallel Gaussian distribution method in this work. The pyrolysis experiment of the pine sawdust was performed using a thermogravimetric-mass spectroscopy (TG-MS) analyzer. A three-parallel Gaussian distributed activation energy model (DAEM)-reaction model was used to describe thermal decomposition behaviors of the three components, hemicellulose, cellulose and lignin. The first, second and third pseudocomponents represent the fractions of hemicellulose, cellulose and lignin, respectively. It was found that the model is capable of predicting the pyrolysis behavior of the pine sawdust. The activation energy distribution peaks for the three pseudo-components were centered at 186.8, 197.5 and 203.9kJmol(-1) for the pine sawdust, respectively. The evolution profiles of H2, CH4, CO, and CO2 were well predicted using the three-parallel Gaussian distribution model. In addition, the chemical composition of bio-oil was also obtained by pyrolysis-gas chromatography/mass spectrometry instrument (Py-GC/MS).
本工作采用三平行高斯分布法研究了木质纤维素生物质热解的动力学和能量产生。使用热重-质谱联用仪（TG-MS）分析仪对松木屑进行了热解实验。采用三平行高斯分布活化能模型（DAEM）-反应模型来描述三种组分（半纤维素、纤维素和木质素）的热分解行为。第一、第二和第三个拟组分分别代表半纤维素、纤维素和木质素的分数。结果表明，该模型能够预测松木屑的热解行为。三个拟组分的活化能分布峰分别集中在 186.8、197.5 和 203.9kJmol(-1)。使用三平行高斯分布模型可以很好地预测 H2、CH4、CO 和 CO2 的演化曲线。此外，还通过热解-气相色谱/质谱仪（Py-GC/MS）获得了生物油的化学成分。
