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Steam gasification of char from wood chips fast pyrolysis: Development of a semi-empirical model for a fluidized bed reactor application

机译:木材碎片快速热解过程中焦炭的蒸汽气化:流化床反应器应用的半经验模型的开发

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摘要

This study, performed in the context of GAYA project, focuses on the development of a simple predictive model about steam gasification of char from woodchips fast pyrolysis. A semi-empirical model was developed through experiments in a macro thermogravi-metric analyzer which owns the peculiar ability of fast heating, as well as to deal with macro-size particles and higher mass loads compared to conventional TGA. The experimental results show that gasification is controlled by chemical kinetics and internal transfer phenomena. During gasification, char particles can be considered as isothermal in a given range of temperatures and particle sizes, more likely for low values. The gasification model was based on the effectiveness factor, which involves the chemical kinetics and diffusion rate. The chemical kinetics were expressed by a classical Arrhe-nius law, whereas empirical expressions from mathematical fitting of the experimental data were established for the diffusion coefficient and surface function. The diffusion coefficient from this work is suspected to probably include supplementary rate limiting phenomena, apart from steam porous diffusion, such as H_2 inhibition and/or the decrease of temperature within char particles because of the endothermic character of gasification. The model globally predicts with accuracy the gasification rate in typical operating conditions of a fluidized bed reactor. For its simplicity and reliability, this approach can be used for the modelling of char gasification in the conditions of interest.
机译:这项研究是在GAYA项目的背景下进行的,专注于开发有关木片快速热解过程中焦炭蒸汽气化的简单预测模型。通过在大型热重分析仪中的实验开发了一个半经验模型,该分析仪具有快速加热的独特功能,并且与常规TGA相比,可以处理宏观尺寸的颗粒和更高的质量负载。实验结果表明,气化受化学动力学和内部传递现象的控制。在气化过程中,在给定的温度和粒径范围内,炭颗粒可以视为等温的,对于较低的值更可能。气化模型基于有效性因子,该有效性因子涉及化学动力学和扩散速率。化学动力学由经典的Arrhe-nius定律表示,而根据实验数据的数学拟合,建立了扩散系数和表面功能的经验表达式。由于气化的吸热特性,除了蒸汽多孔扩散,例如H_2抑制和/或炭颗粒内的温度降低外,怀疑这项工作的扩散系数可能还包括补充速率限制现象。该模型总体上准确地预测了流化床反应器典型运行条件下的气化速率。由于其简单性和可靠性,该方法可用于在感兴趣的条件下对炭化气进行建模。

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