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Thermogravimetric Study of Biomass Pyrolysis Kinetics. A Distributed Activation Energy Model with Prediction Tests

机译:生物质热解动力学的热重研究。具有预测测试的分布式活化能模型

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摘要

The pyrolysis of four biomasses (corn stalk, rice husk, sorghum straw, and wheat straw) was studied at different temperature-time functions in an inert gas flow by thermogravimetric analysis (TGA). Linear and stepwise heating programs were employed. A distributed activation energy model (DAEM) with three pools of reactants (three pseudocomponents) was used because of the complexity of the biomass samples of agricultural origin. Compensation effects were observed between the kinetic parameters as in the works of other investigators. The compensation effects result in ambiguous parameter values; hence, they were eliminated with a decrease in the number of unknown parameters. For this purpose, some of the kinetic parameters were assumed to be the same for the four biomasses. This approach also helps to express the similarities of the samples in the model. The 16 experiments were evaluated simultaneously by the method of least squares, yielding dependable kinetic parameters. The resulting models describe well the experimental data and are suitable for predicting experiments at higher heating rates. The checks on the prediction capabilities were considered to be an essential part of the model verification.
机译:通过热重分析(TGA)研究了在惰性气体流中不同温度-时间函数下四种生物质(玉米秸秆,稻壳,高粱秸秆和小麦秸秆)的热解。采用线性和逐步加热程序。由于农业来源生物质样品的复杂性,使用了具有三个反应物池(三个假组分)的分布式活化能模型(DAEM)。与其他研究人员一样,在动力学参数之间观察到了补偿作用。补偿效果导致参数值模棱两可;因此,由于未知参数数量的减少,消除了它们。为此,假定某些动力学参数对于四种生物质是相同的。这种方法还有助于表达模型中样本的相似性。通过最小二乘法同时评估了16个实验,得出了可靠的动力学参数。所得模型很好地描述了实验数据,适用于预测较高加热速率的实验。对预测能力的检查被认为是模型验证的必要部分。

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