Bio-oil derived from fast pyrolysis of lignocellulosic biomass is unstable, and aging would occur during its storage, handling, and transportation. The kinetic analysis of bio-oil aging is fundamental for the investigation of bio-oil aging mechanisms and the utilization of bio-oil as biofuels, biomaterials or biochemicals. The aging kinetic experiments of bio-oil from poplar wood pyrolysis were conducted at different aging temperatures of 303, 333, 353, and 363 K for different specified periods of time in capped glass vessels. The traditional method with two separate fittings was employed to fit experimental data, and the results indicated that the obtained kinetic parameters could not fit the experimental data well. An advanced approach for kinetic modeling of bio-oil aging has been developed by simultaneously processing experimental data at different aging temperatures and using the pattern search method. The aging kinetic model with the optimized parameters predicted the aging kinetic experimental data of the bio-oil sample very well for different aging temperatures.

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模式搜索法对生物油老化的动力学分析

来自木质纤维素生物质快速热解的生物油是不稳定的，并且在其储存，处理和运输过程中会发生老化。生物油老化的动力学分析是研究生物油老化机理以及将生物油用作生物燃料，生物材料或生物化学物质的基础。杨木热解生物油的老化动力学实验是在加盖的玻璃容器中，在303、333、353和363 K的不同老化温度下不同的指定时间进行的。采用传统的两个分开拟合的方法拟合实验数据，结果表明所获得的动力学参数不能很好地拟合实验数据。通过同时处理不同老化温度下的实验数据并使用模式搜索方法，已开发出一种用于生物油老化动力学建模的高级方法。具有优化参数的老化动力学模型可以很好地预测生物油样品在不同老化温度下的老化动力学实验数据。