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

机译:黑液和生物质热解过程中焦油和轻质气体的预测

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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热解行为的通用模型,以将其纳入更大的燃烧模拟模型中。使用最初为煤开发的化学渗透脱挥发分(CPD)模型,可以预测黑液或生物质热解产生的轻质气体和焦油产率。最初的方法是使用〜(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。该模型几乎没有改变煤衍生的动力学参数,而是描述了在氮气吹扫炉中获得的黑液样品的有机热解行为。希望将来的黑液模型可以分为五个主要成分(半纤维素,纤维素,木质素,卡夫木质素和羧酸),这可以对多种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行为的化学结构和动力学参数。

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