A new modelling approach for the pyrolysis step in biomass gasification

IF 4.2 Q2 CHEMISTRY, MULTIDISCIPLINARY Results in Chemistry Pub Date : 2025-03-01 DOI:10.1016/j.rechem.2025.102146
Otto A. Ortiz, Laura M. Orozco, Luis A. Rios
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Abstract

The main goal of this work was to develop an improved pyrolysis model that can be used for gasification simulation. The improvement consisted in introducing additional mass and energy balance equations to two highly cited models, as well as introducing a set of tar model compounds, which are important for modelling the subsequent gasification stages. These changes led to novel results such as: the new model does not give negative concentrations and yields of the products (the already reported ones do), yields of tar model molecules can be predicted in a more accurate fashion that previous models, empirical correlations with extremely low fitting used in reported models are no longer needed. After applying several selection criteria, an improved empirical model for the pyrolysis step in biomass gasification was developed. This improved model allowed obtaining all the parameters that are needed for the further simulation of the gasification process: yield of main pyrolytic fractions, concentrations of gas molecules, element composition of char, element composition of tar and concentrations of molecules present in tar. Reported models have not covered this last issue and it is crucial for the modelling of the gasification reactions. The selected model has element mass balance deviations lower than 6 % and low deviations from the experimental results reported for several biomass samples. The minimum of a sum of squares method, used to solve the equation systems, allowed imposing the positive-value condition for yields and concentrations, leading to physically sound results.

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生物质气化热解过程的一种新的建模方法
这项工作的主要目标是开发一个改进的热解模型,可用于气化模拟。改进包括在两个高引用模型中引入额外的质量和能量平衡方程,以及引入一组焦油模型化合物,这对后续气化阶段的建模很重要。这些变化导致了新的结果,例如:新模型没有给出负的浓度和产物的产率(已经报道的那些),焦油模型分子的产率可以以比以前的模型更准确的方式预测,在报道的模型中使用的极低拟合的经验相关性不再需要。在应用了几种选择标准后,建立了改进的生物质气化热解步骤经验模型。这个改进的模型可以获得进一步模拟气化过程所需的所有参数:主要热解馏分的产率、气体分子的浓度、炭的元素组成、焦油的元素组成和焦油中存在的分子浓度。报告的模型没有涵盖最后一个问题,这对气化反应的建模至关重要。所选模型的元素质量平衡偏差小于6%,与几种生物质样品的实验结果偏差较小。用于求解方程组的平方和最小值法允许对产量和浓度施加正值条件,从而导致物理上合理的结果。
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来源期刊
Results in Chemistry
Results in Chemistry Chemistry-Chemistry (all)
CiteScore
2.70
自引率
8.70%
发文量
380
审稿时长
56 days
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