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Prediction of Tar and Light Gas During Pyrolysis of Black Liquor and Biomass

机译:黑液和生物质热解期间焦油和轻气预测

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A generalized model for describing the pyrolysis behavior of low-grade fuels is being developed for incorporation into larger combustion simulation models. Using the Chemical Percolation Devolatilization (CPD) model originally developed for coal, light gas and tar yields from black liquor or biomass pyrolysis can be predicted. The initial approach is to measure the average chemical structures in a black liquor sample using ~(13)C NMR spectroscopy. These chemical structures are then used in pyrolysis model predictions. With few changes from the coal-derived kinetic parameters, the model describes the organic pyrolysis behavior of black liquor samples obtained in nitrogen-purged furnace. It is hoped that future black liquor models can be divided into five major components (hemi-cellulose, cellulose, lignin, Kraft lignin and carboxylic acids) which would permit engineering predictions of many forms of biomass. This paper discusses chemical structure and kinetic parameters used to model pyrolysis behavior of black liquor, lignin, and cellulose.
机译:正在开发用于描述低级燃料的热解行为的广义模型,以结合到较大的燃烧模拟模型中。使用最初为煤的化学渗透脱挥发脱色(CPD)模型,可以预测来自黑液或生物质热解的煤炭,轻质气体和焦油产量。初始方法是使用〜(13)C NMR光谱法测量黑液样品中的平均化学结构。然后将这些化学结构用于热解模型预测中。随着煤衍生的动力学参数的少量变化,该模型描述了在氮气吹扫炉中获得的黑液样品的有机热解作业。希望未来的黑液模型可分为五种主要成分(半纤维素,纤维素,木质素,牛皮纸,牛皮纸和羧酸),这将允许对许多形式的生物质进行工程预测。本文讨论了用于模拟黑液,木质素和纤维素的热解作业的化学结构和动力学参数。

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