A reduced kinetic model for secondary reactions of biomass gasification

机译：生物质气化二次反应的减少动力学模型

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One of the major requirements of any biomass gasification modeling study is the ability to predict the yield and composition of tar produced under various operating conditions. It requires the use of a detailed chemical kinetic model, able to accurately predict the evolution of various chemical species important in the tar evolution chemistry, integrated with a CFD solver. But these detailed kinetic models consist of thousands of reactions and hundreds of species making their use computationally unaffordable. Therefore, most of the gasification modeling studies rely on global kinetic models that can not provide the details of tar evolution. To tackle this problem, we develop a reduced kinetic model for the secondary gas phase reactions of biomass gasification from the detailed chemical kinetics available in the literature. This model achieves a balance between computational expense and details required. Predictions of our reduced model are compared with the detailed kinetic model and experimental data for a Plug Flow Reactor (PFR) configuration.

机译：任何生物质气化建模研究的主要要求之一是能够预测在各种操作条件下产生的焦油的产量和组成。它需要使用详细的化学动力学模型，能够准确地预测各种化学物种的演变在焦油进化化学中重要，与CFD求解器集成。但这些详细的动态模型包括成千上万的反应和数百种，使其使用计算不适合。因此，大多数气化建模研究依赖于无法提供焦油演变细节的全球动力学模型。为了解决这个问题，我们从文献中可用的详细化学动力学产生了生物量气化的二次气相反应的减少的动力学模型。该模型实现了计算费用与所需的详细信息之间的平衡。将我们降低模型的预测与插头流量反应器（PFR）配置的详细动力学模型和实验数据进行了比较。

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《Spring Technical Meeting of the Eastern States Section of the Combustion Institute》|2016年|751p|共6页
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Himanshu Goyal; Perrine Pepiot;
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机译：煤颗粒气化动力学：初级热解和二次反应

A reduced kinetic model for secondary reactions of biomass gasification

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